Tag Archives: Amazon Simple Email Service (SES)

All the numbers: Amazon Prime Day 2026 powered by AWS

Post Syndicated from Channy Yun (윤석찬) original https://aws.amazon.com/blogs/aws/all-the-numbers-amazon-prime-day-2026-powered-by-aws/

Amazon Prime Day 2026 was exclusively for Prime members and ran June 23–26, 2026 with millions of deals across more than 35 categories.

As part of our annual tradition of sharing how AWS powered Prime Day (2016, 2017, 2019, 2020, 2021, 2022, 2023, 2024, and 2025), I want to share the services and chart-topping metrics from AWS that made your amazing shopping experience possible.

Prime Day 2026 – all the numbers

As always, Prime Day was powered by AWS. Here are some of the most interesting and/or mind-blowing metrics:

Amazon Elastic Compute Cloud (Amazon EC2) and AWS Graviton – During Amazon Prime Day 2026, AWS Graviton powered up to 49% of the Amazon EC2 compute used by Amazon.com.

Amazon Elastic Block Store (Amazon EBS) – During Prime Day 2026, Amazon EBS, our high-performance block storage service, peaked at over 24.8 trillion I/O operations, moving over an exabyte of data daily.

AWS Lambda – AWS Lambda handled over 2.3 trillion invocations per day during Prime Day 2026.

Amazon Elastic Container Service (ECS) and Fargate – During Prime Day 2026, Amazon ECS launched an average of 158.3 million tasks per day on AWS Fargate, representing a 47.7 percent increase from the previous year’s Prime Day average.

Amazon CloudFront – Amazon CloudFront delivered over 2.1 trillion HTTP requests during the global week of Prime Day 2026, a 5 percent increase in total requests compared to Prime Day 2025.

Amazon DynamoDB – Amazon DynamoDB, a serverless, fully managed, distributed NoSQL database, powers multiple high-traffic Amazon properties and systems including Alexa, the Amazon.com sites, and all Amazon fulfillment centers. Over the course of Prime Day 2026, between June 23 and June 26, 2026, DynamoDB processed over 59 trillion requests. DynamoDB maintained high availability while delivering single-digit millisecond responses and peaking at 192 million requests per second.

Amazon Aurora – On Prime Day, Amazon Aurora, a relational database management system (RDBMS) built for high performance and availability at global scale for PostgreSQL, MySQL, and DSQL, processed hundreds of billions of transactions, stored 5,491 terabytes of data, and transferred 1,194 terabytes of data.

Amazon ElastiCache – During Prime Day, Amazon ElastiCache peaked at serving over 2.3 quadrillion daily requests and 2.1 trillion requests in a minute.

Amazon Kinesis Data Streams – Amazon Kinesis Data Streams, a fully managed serverless data streaming service, processed a peak of 988 million records per second during Prime Day 2026.

Amazon Simple Notification Service (SNS) – Amazon SNS, a fully managed pub/sub messaging service for application-to-application and application-to-person communication, delivered 5 trillion messages in a single day during Prime Day 2026.

Amazon Simple Queue Service (SQS) – Amazon SQS, a fully managed message queuing service for microservices, distributed systems, and serverless applications, received a peak of 213 million messages per second during Prime Day 2026

AWS CloudTrail – AWS CloudTrail processes billions of API activity events per day for governance, compliance, and operational auditing. During Prime Day 2026, that volume surged to 3.6 trillion events in just four days, a 44% increase over Prime Day 2025.

AWS CloudWatch – Amazon CloudWatch processed over 2.15 quadrillion metric observations per day during Prime Day 2026.

Amazon GuardDuty – During Prime Day 2026, Amazon GuardDuty monitored an average of 14.08 trillion log events per hour, a 59% increase from last year’s Prime Day.

AWS Fault Injection Service (FIS) – We ran over 44,000 AWS FIS experiments – more than six times what we conducted in 2025 – to help ensure Amazon.com remains highly available on Prime Day.

Prepare to scale

If you’re preparing for similar business-critical events, product launches, and migrations, I recommend that you take advantage of AWS Countdown Premium. From retail peak seasons to major sporting events, elections, and healthcare enrollment periods, we help you deliver flawless experiences when it matters most. Our experts help you manage your infrastructure to handle massive traffic spikes while maintaining security and performance. We work alongside your team to scale infrastructure, optimize costs during demand surges, strengthen security measures, and monitor real-time demands. To learn more, visit AWS Countdown Premium for business critical events.

I look forward to seeing what other records will be broken next year!

— Channy

AWS Weekly Roundup: GPT-6 Sol and Luna, Claude Opus 5.5 on Amazon Bedrock, Strands harness, and more (September 28, 2026)

Post Syndicated from Daniel Abib original https://aws.amazon.com/blogs/aws/aws-weekly-roundup-gpt-6-sol-and-luna-claude-opus-5-5-on-amazon-bedrock-strands-harness-and-more-september-28-2026/

If there’s one theme that defined last week, it’s choice. The frontier models keep arriving, and the interesting question is no longer just “how smart is it?” but “which model fits this step, at this cost, at this latency?” That’s exactly what landed on Amazon Bedrock over the past few days: GPT-6 Sol and GPT-6 Luna from OpenAI, giving you two new points on the intelligence-versus-efficiency curve, and Claude Opus 5.5 from Anthropic, the first of the Claude 5.5 family.

GPT-6 Sol is built for the demanding, recurring work of development and operations, while GPT-6 Luna makes focused, repeatable tasks practical at high volume, and both ship at significantly lower pricing than their GPT-5.6 predecessors. Claude Opus 5.5, meanwhile, does more with fewer tokens than Opus 5 and is tuned for agentic coding and long-running tasks. What I like about all three is that they push toward the same idea: match the model to the job instead of reaching for the biggest one every time. The other thread was observability catching up to this agentic world, including a launch I had the pleasure of writing about myself.

Now, let’s get into this week’s AWS news…

Last week’s launches

Here are some launches and updates from this past week that caught my attention:

  • Introducing Amazon CloudWatch Omni – You can now observe your applications and AI agents together in a single, collaborative experience. Amazon CloudWatch Omni is built on OpenTelemetry, so your existing telemetry shows up with nothing to reconfigure, and your whole team reaches it through one URL with enterprise SSO — no console access required. It auto-discovers your services, maps dependencies, and brings AWS DevOps Agent into investigation sessions to correlate signals and trace root causes. There’s a companion post on the agent-observability side, a deeper dive on the AWS Cloud Operations blog on what observability for the AI era looks like, and the announcement on What’s New with the specifics. If you want the bigger picture, Matt Wood’s Wrong, not broken is a great read on why correctness now has to be measured at the level of the run.
  • Enhanced custom event buses in Amazon EventBridge – Amazon EventBridge now offers an enhanced custom event bus purpose-built for organizations scaling event-driven applications across teams and accounts. You can now deploy a single centralized bus shared across every account in your organization through AWS RAM, with optional event ordering, a simplified Subscriber resource that bundles filtering, targets, and retries, content-based deduplication, and synchronous invocation for targets like AWS Lambda. A new ingress/egress pricing model replaces the compounding cross-account routing charges of multi-bus setups, and your existing buses keep working unchanged as “classic.”
  • Amazon SageMaker HyperPod Inference Gateway – You can now front your LLM inference on Amazon SageMaker HyperPod with a Kubernetes-native, GPU-aware routing layer that deploys as a single Amazon EKS managed add-on with zero application changes. Instead of round-robin load balancing, it routes on real-time inference signals — KV cache utilization, queue depth, prefix cache hits, predicted latency, and more — cutting first-token latency by up to 82% in mixed-hardware and bursty scenarios. It works with any OpenAI-compatible model server, including vLLM and SGLang.
  • AI agent skills for AWS End User Messaging and Amazon SES – You can now build and send messages by asking your AI coding agent in plain language. Amazon SES and AWS End User Messaging publish AI agent skills for the AWS MCP Server, giving your agent step-by-step, validated guidance for tasks like verifying a sending identity, sending a production email, or building a branded RCS agent with cards and buttons. The skills work with Claude Code, Codex, Cursor, and Kiro, so you can complete messaging workflows without hopping between docs and console screens.

For a full list of AWS announcements, be sure to keep an eye on the What’s New with AWS page.

Other AWS news

Here are some additional posts and resources that you might find interesting:

  • Introducing Strands harness – The Strands Agents team released Strands harness, a fully assembled, general-purpose agent harness you can run locally or deploy anywhere, under Apache 2.0. It takes one line of Python or TypeScript to wire up your model of choice across Amazon Bedrock, Anthropic, OpenAI, Google, or a local Ollama model, and it ships with sensible defaults for prompt caching and context management (truncating bulky tool results, compacting when the context window fills up, and keeping memory across runs). The team reports it costs about 28% less than comparable harnesses on the same models while holding accuracy steady.
  • Announcing the new AWS Reimagine report on AI – The AWS Executive in Residence team spent nine months interviewing 154 leaders across 27 countries about what separates organizations that turn AI into value from those that don’t. The report is candid (including where AI hasn’t worked at Amazon), and the recurring insight is that once building gets fast, the bottleneck moves to deciding, funding, and governing the work. Well worth a read if you’re thinking about how your teams adopt AI in practice.

For a full list of AWS blog posts, be sure to keep an eye on the AWS Blogs page.

Upcoming AWS events

Check your calendar and sign up for upcoming AWS events:

  • AWS re:Invent – AWS re:Invent returns to Las Vegas from November 30 to December 4, and session times, locations, and speakers are live. Reserved seating opens October 6, so register now and be ready to claim your spot in chalk talks, workshops, and builders’ sessions.
  • AWS Summits – With re:Invent on the horizon, the Summits are wrapping up for the year. The last stop is Dubai (September 30) at the Dubai World Trade Center, with 60+ sessions, an AWS Village, and hands-on workshops.

Join the AWS Builder Center to connect with builders, share solutions, and access content that supports your development. Browse here for upcoming AWS-led in-person and virtual events and developer-focused events. That’s all for this week. Check back next Monday for another Weekly Roundup!

— Daniel Abib

Isolate email reputation in Amazon SES Mail Manager with tenant management

Post Syndicated from Abilashkumar P C original https://aws.amazon.com/blogs/messaging-and-targeting/isolate-email-reputation-in-amazon-ses-mail-manager-with-tenant-management/

When AnyCompany’s new IT outsource team misconfigured the email settings on 200 of the company’s multifunction printer/scanners, it had two bad outcomes. First, nobody received their scanned documents in their inboxes. Somewhat predictably, many users rescanned the same documents multiple times before creating support tickets. Second, the misconfiguration along with the multiple failed attempts resulted in a “bounce storm” that was quickly reported by a major email service provider, but unfortunately ignored by the IT team.

Within 48 hours, the bounce rate crossed the provider’s threshold. The company’s entire Amazon Simple Email Service (Amazon SES) account lost its sending reputation. Password resets, order confirmations, and service notifications from every business unit on the account started landing in spam or failing to deliver. The damage spread because every sender on the account, from the mission-critical billing system to the misconfigured printers, shared the same reputation score.

This is a preventable problem. With Amazon SES tenant management you can isolate email reputation per tenant inside a single account so one misbehaving sender cannot affect the rest. If you use Amazon SES Mail Manager for Simple Mail Transfer Protocol (SMTP) filtering, routing, archiving, or relay, you can activate tenant isolation. To do so, tag each message with the X-SES-TENANT header in your Mail Manager rule set. In this post, you will compare five architectural patterns for applying the X-SES-TENANT header, from static per-tenant endpoints to AWS Lambda driven runtime resolution.

This post complements Isolate email suppression per tenant with Amazon SES. That post explains how tenant-level suppression lists prevent cross-tenant bounce and complaint contamination, which is the “what happens after the message is tagged” story. This post focuses on the upstream problem: how to get the X-SES-TENANT tag onto messages when your senders are legacy appliances, printers, or applications that can’t set custom MIME headers. Together, the two posts cover the full tenant isolation pipeline, from tagging through delivery and suppression.

This post provides architectural guidance. For step-by-step implementation, refer to the Amazon SES documentation.

How SES tenant isolation works

Amazon SES tenant management isolates reputation per tenant inside a single Amazon SES account. Each tenant acts as a container organized around sending identities, configuration sets, and the resulting reputation metrics. Amazon SES attributes bounces, complaints, and Trust and Safety signals to the tenant, not the account, so a deliverability issue in one tenant doesn’t affect the others.

A critical benefit of tenant isolation: when one tenant’s reputation degrades beyond a threshold, Amazon SES can pause sending for that tenant only. Other tenants continue delivering normally. Without tenant isolation, a reputation issue affects the entire account. This pause-and-contain mechanism is one of the strongest reasons to adopt tenant management, especially for accounts with diverse sender types.

You associate a message with a tenant by passing the TenantName parameter on the Amazon SES API v2 SendEmail operation, or by adding an X-SES-TENANT Multipurpose Internet Mail Extensions (MIME) header to an SMTP message. For a detailed walkthrough of tenant management concepts, including identity ownership, the ses:TenantName AWS Identity and Access Management (IAM) condition key, and tenant-level suppression lists, see Improve email deliverability with tenant management in Amazon SES.

How Mail Manager works

Mail Manager processes inbound and outbound SMTP traffic through a pipeline of three components:

  1. Ingress endpoint: an authenticated SMTP endpoint that accepts connections from your senders. Mail Manager ingress endpoints handle SMTP only, not the Amazon SES API.
  2. Traffic policy: filters connections based on sender attributes (IP, TLS version, authentication) before messages reach rule processing.
  3. Rule set: an ordered list of rules. Each rule has conditions (match on envelope sender, recipient, source IP, or header values) and actions (Add header, Write to S3, Invoke Lambda, Send to internet, SMTP relay, Drop).

The “Add header” rule action is what makes tenant isolation possible for legacy senders: it injects the X-SES-TENANT SMTP header before the “Send to internet” action hands the message to Amazon SES for delivery.

With the “Add header” rule action inserted before the “Send to internet” action in the same rule, Mail Manager effectively tags the message with the SMTP header that defines the tenant. When Amazon SES processes the send, it reads the X-SES-TENANT header and attributes the message to the corresponding tenant.

Amazon SES performs tenant attribution only during send processing. A Send to internet action, or a Lambda function that calls SendEmail with the TenantName parameter or X-SES-TENANT header, activates tenant management. An SMTP relay action forwards to a third-party SMTP server (Google Workspace, Microsoft 365, or on-premises mail), so Amazon SES doesn’t process the send and tenant attribution doesn’t apply. Write to S3 and Drop don’t hand messages to Amazon SES, so they don’t activate tenant management either. This post describes flows that include a Send to internet action or a Lambda function calling SendEmail.

Understanding the outbound email flow

An outbound message flows from the SMTP client to the Mail Manager ingress endpoint, passes through the traffic policy and rule set, then routes through Amazon SES to the internet.

Figure 1: Outbound email flow from an SMTP client through Mail Manager to Amazon SES

Compare the patterns

Before diving into each pattern, use this table to identify which one fits your workload. You can then read only the pattern section that applies, or read all five for the full picture.

Consideration Pattern 1 Pattern 2 Pattern 3 Pattern 4 Pattern 5
Works for legacy and appliance senders — Yes Yes Yes Yes
Retrieve tenant from static value Yes Yes Yes Yes Yes
Retrieve tenant from source IP or sender condition — Yes Yes Yes Yes
Retrieve tenant from runtime lookup or body inspection — — — Yes Yes
Records Send in Mail Manager log Yes Yes Yes — —
Tenants per Region Up to 10,000 ~50 400 (per-tenant Send) or 1,560 (chained) Up to 10,000 Up to 10,000

One difference cuts across the patterns: where the tenant mapping lives determines what it takes to change it. Patterns 2 and 3 hold the mapping in rule-set configuration, so adding or removing a tenant is a rule-set edit and deployment (a control-plane change, not a data change). Patterns 4 and 5 resolve the tenant from a runtime source such as a database, so onboarding or offboarding a tenant is a data update that takes effect without a deployment. In Pattern 1, the sender supplies the tenant, so there’s no mapping to maintain in Mail Manager at all.

Pattern 1: The SMTP sender sets the header before Mail Manager

Pattern 1, where the SMTP sender sets the X-SES-TENANT header before the message reaches the Mail Manager ingress endpoint

Figure 2: Pattern 1, where the SMTP sender sets the tenant header before Mail Manager

If the SMTP sender (a backend service, internal tool, or any application that can add a custom MIME header) sets X-SES-TENANT on the message before connecting to the Mail Manager ingress endpoint, the message arrives pre-tagged. The rule set only needs a Send to internet action.

Pattern 1 fits customers who already use Mail Manager for filtering, archiving, or compliance and whose sending applications can add one header at send time. You keep Mail Manager gateway capabilities without adding Add header or conditional logic to the rule set.

Pattern 2: Mail Manager adds a static header with Add header

Pattern 2, where a Mail Manager rule adds a static X-SES-TENANT header and then sends the message to the internet

Figure 3: Pattern 2, where a Mail Manager rule adds a static tenant header

A rule with Add header followed by Send to internet attaches a fixed tenant value to each message. This pattern fits a one-tenant-per-endpoint model: provision one authenticated ingress endpoint per tenant, give each tenant its own SMTP credentials, and attach a rule set that injects the tenant value.

For example, an enterprise provisions one endpoint for facilities-printer notifications and a second for corporate alerts. The Send to internet action’s IAM role grants permission only to that tenant’s Amazon SES identities, preventing a misrouted client from sending as another tenant.

You can group tenants behind one endpoint when they share a sending configuration. The header value and IAM scope live in the rule-set configuration, and no code runs at send time.

Pattern 3: Mail Manager derives the header from rule conditions

If multiple tenants share an endpoint but have stable distinguishing attributes (like source IP), one rule set handles each of them. Rule conditions match on envelope properties, and matching rules run an Add header action that sets X-SES-TENANT to the correct value.

Pattern 3, where Mail Manager derives the X-SES-TENANT header value from rule conditions before sending to the internet

Figure 4: Pattern 3, where Mail Manager derives the tenant header from rule conditions

Mail Manager rule sets allow 40 rules with up to 10 conditions and 10 actions per rule, but caps Send to internet and SMTP relay actions at 10 per rule set (counting every occurrence). One Send to internet per tenant rule tops out at 10 tenants.

To support more tenants, separate header-setting from delivery:

  • Rules 1 to 39: Each matches a distinguishing condition and runs a single Add header action.
  • Rule 40: A catch-all with no conditions and a single Send to internet action.

Each message matches at most one header-setting rule, picks up its tenant header, and passes through the catch-all. The effective ceiling is now 39 tenants per rule set with one Send to internet action and one IAM role.

Scale limits of Pattern 3

Pattern 3’s ceiling depends on how you structure the rule set. Two cases:

Case A: Chained structure (39 Add header rules + 1 Send to internet rule): Each rule set uses one Send to internet action, so the 10-action cap isn’t binding. Capacity is 39 tenants per rule set × 40 rule sets per Region = 1,560 tenants per Region.

Case B: Per-tenant Send to internet (each tenant rule has its own Send action): The 10-action cap binds at 10 tenants per rule set. Capacity is 10 tenants per rule set × 40 rule sets per Region = 400 tenants per Region.

The two cases trade off scale against IAM scoping. Case A shares one IAM role across all tenants in the rule set. Case B gives each tenant its own IAM role at the cost of 4× fewer tenants.

Amazon SES supports up to 10,000 tenants per account (adjustable). Workloads that exceed a few hundred tenants, or need runtime tenant changes, can use Pattern 4 or Pattern 5.

Pattern 4: Mail Manager calls Lambda for runtime tenant resolution

Pattern 4, where Mail Manager writes the message to Amazon S3 and invokes a Lambda function that resolves the tenant and delivers through Amazon SES

Figure 5: Pattern 4, where Mail Manager invokes a Lambda function for runtime tenant resolution

Some tenant values require runtime logic, such as a database lookup on the sender IP, an external policy service, or content inspection. For these cases, the Mail Manager Invoke Lambda action runs a Lambda function inside the rule chain.

The Lambda event carries only metadata (headers, envelope sender, recipients, verdicts), not the MIME body. The function also can’t modify the message for downstream actions. Lambda must therefore handle delivery.

The rule writes the raw MIME to Amazon S3 with Write to S3, then invokes the Lambda function with the message ID. The function fetches the object and determines the tenant through the runtime logic your workload requires. That logic might be a database lookup (for example, an Amazon DynamoDB query), a call to an external policy service, or inspection of the message body. It then calls the Amazon SES API v2 SendEmail operation, passing the resolved tenant in the TenantName parameter. Delivery permissions live on the function’s execution role, which carries the ses:TenantName condition key.

The Lambda function is yours to build and maintain. This gives you full control over the tenant resolution logic and everything downstream (retries, dead-letter queues, observability), but it also means you own the operational overhead: code updates, monitoring, and cost management.

Mail Manager can invoke the function synchronously or asynchronously. Synchronous invocation (REQUEST_RESPONSE) keeps Lambda in Mail Manager’s critical path: Mail Manager waits up to 30 seconds for the function to return, and retries on failure. Asynchronous invocation (EVENT) hands control to Lambda instead, so Mail Manager invokes the function and moves on. There are no additional Mail Manager charges for the Lambda invocation beyond standard Lambda pricing.

Pattern 5: Mail Manager stages to Amazon S3, Lambda delivers asynchronously

Pattern 5, where an Amazon S3 event triggers a Lambda function that delivers the message through Amazon SES

Figure 6: Pattern 5, where an Amazon S3 event triggers a Lambda function that delivers the message

In Pattern 4, Mail Manager invokes the function directly through the Invoke Lambda rule action. Pattern 5 removes that direct invocation: the Mail Manager rule ends at Write to S3, and an Amazon S3 event notification triggers the Lambda function instead. Mail Manager’s work finishes at the write, and delivery becomes fully event-driven.

The rule set has two actions: write the raw MIME to Amazon S3, followed by an explicit Drop action. The Drop action prevents accidental duplicate delivery if a Send to internet action is inadvertently added to the rule later. The Lambda function handles delivery through the Amazon SES API, so Mail Manager’s job ends at writing the MIME to Amazon S3. The Amazon S3 event routes to the function directly or through Amazon Simple Queue Service (Amazon SQS) or Amazon EventBridge for fan-out and back-pressure.

The function reads the object, performs the tenant lookup, and calls SendEmail with the TenantName parameter. The Mail Manager critical path is minimal, and Lambda retries use the Lambda retry model with dead-letter queue support. The same Amazon S3 object fans out to multiple consumers (delivery, analytics) without changing the Mail Manager rule.

The Lambda function is yours to build and maintain. The upside is full control over the function and everything after it: tenant resolution logic, retries, dead-letter queues, and observability. The tradeoff is cost and upkeep, since you own code updates, monitoring, and operational overhead.

The other tradeoff is less visibility. After Write to S3, the Mail Manager log no longer records the delivery outcome.

Secure tenant attribution with IAM

Regardless of which pattern sets the X-SES-TENANT header, the Send to internet action’s IAM role should enforce tenant boundaries. Scope the IAM role with a Condition element that includes the ses:TenantName condition key.

Example IAM policy:

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Action": "ses:SendEmail",
      "Resource": "*",
      "Condition": {
        "StringEquals": {
          "ses:TenantName": "facilities-printers"
        }
      }
    }
  ]
}

This policy allows the role to send email only when the message is attributed to the facilities-printers tenant. Messages tagged with any other tenant value, or messages with no tenant header, are denied.

In Pattern 1, the sender sets the header, the IAM role on the Send to internet action validates that the claimed tenant matches the role’s permissions. In Pattern 2, the Add header action sets a fixed value, and the IAM role confirms the header matches the expected tenant for that endpoint. In Pattern 3 with a chained structure, a single Send to internet action services all tenants. Scope its role to the set of valid tenant names so untagged messages (those matching no Add header rule) fail authorization. For Patterns 4 and 5, the Lambda function’s execution role carries the ses:TenantName condition key, providing the same enforcement at the API call level.

Paused tenants

Each of the five patterns handles paused tenants the same way. When Amazon SES pauses a tenant (through a reputation policy or manually), sends for that tenant fail with a rejection error. Other tenants keep delivering. The failure surfaces depending on the pattern:

  • Patterns 1 to 3: Mail Manager records the rejection in the rule set log.
  • Patterns 4 and 5: The rejection surfaces in the Lambda function’s Amazon CloudWatch Logs.
  • Patterns 1 to 5: Amazon SES publishes tenant status changes to Amazon EventBridge (such as Sending Status Disabled).

Mail Manager won’t re-route or retry a paused tenant send. Graceful handling (queueing, failover, notification) belongs in the Lambda function in Patterns 4 and 5.

Observability

Observability for these patterns draws on three sources, each answering a different question:

Mail Manager vended log: which rule actions ran, and whether Amazon SES accepted the message from a Send to internet action. Mail Manager delivers this log to a destination you configure: Amazon CloudWatch Logs, Amazon S3, or Amazon Data Firehose. Query CloudWatch Logs with CloudWatch Logs Insights, or query Amazon S3 with Amazon Athena to surface IAM denials, configuration errors, and throttling.

Amazon SES event publishing: the final delivery outcome (delivered, bounced, or complaint), routed through a configuration set. This applies to every pattern.

Lambda Amazon CloudWatch Logs: for Patterns 4 and 5, where delivery runs inside the Lambda function, the acceptance result and any application errors.

To trace a message end to end, correlate these sources. For Patterns 1 to 3, the Mail Manager log and Amazon SES event publishing cover the flow. For Patterns 4 and 5, add the Lambda function’s CloudWatch Logs, since the Mail Manager log ends at Invoke Lambda (Pattern 4) or Write to S3 (Pattern 5).

Limits that shape the architecture

Review the Amazon SES Mail Manager service quotas before committing to a pattern. These quotas most often drive your pattern choice:

Resource Default Where it matters
Maximum message size (SMTP ingress) 40 MB Patterns 1 to 5
Authenticated ingress endpoints per Region 50 Pattern 2 per-tenant endpoints
Rule sets per Region 40 Pattern 2, Pattern 3 partitioning
Rules per rule set 40 Pattern 3
Send to internet action per rule set 10 Pattern 3 tightest constraint
Actions per rule 10
Conditions per rule 10
Addresses per address list 100,000 Pattern 3 consolidation
Tenants per account (Amazon SES) 10,000 (adjustable) Patterns 4 and 5 ceiling
Lambda concurrent executions per Region 1,000 (adjustable) Patterns 4 and 5 throughput ceiling
Lambda timeout (Mail Manager InvokeLambda) 30 seconds Pattern 4 synchronous path
S3 event notification destinations per prefix 1 (use Amazon EventBridge for fan-out) Pattern 5 fan-out design
Lambda invocation payload (synchronous) 6 MB Pattern 4 metadata-only (body in S3)
Sending quota per 24 hours (Amazon SES) 200 in sandbox (adjustable in production) Patterns 1 to 5
Maximum send rate (Amazon SES) 1 message/second in sandbox (adjustable in production) Patterns 1 to 5

Conclusion

The five patterns in this post show how to architect tenant tagging, whether through static endpoints, rule-set headers, or runtime resolution, so you can choose the approach that fits your workload.

Next steps

About the authors

Achieving CNIL/EU ePrivacy compliance for email tracking with Amazon SES

Post Syndicated from Toni Pivcevic original https://aws.amazon.com/blogs/messaging-and-targeting/achieving-cnil-eu-eprivacy-compliance-for-email-tracking-with-amazon-ses/

Open and click tracking have long been foundational email metrics. Multiple data protection authorities, including in EU and Canada, have issued guidance requiring explicit opt-in consent before deploying open tracking pixels or click link wrapping in email. As privacy expectations evolve, a growing number of jurisdictions now require senders to obtain explicit consent before tracking whether a recipient opened an email or clicked a link. In this post, you learn how to use Amazon Simple Email Service (Amazon SES) configuration set overrides to control open and click tracking per request.

How Amazon SES tracking works

Amazon SES enables open and click tracking only when explicitly configured by you. Amazon SES does not inject tracking pixels or wrap links by default.

Open tracking — When you add an event destination publishing OPEN events to a configuration set, Amazon SES inserts a 1×1 tracking pixel (served from awstrack.me) into HTML email sent using that configuration set. When a recipient opens the email and their client loads images, Amazon SES records the open event and publishes it to the configured destination.

Click tracking — When you include CLICK events in a configuration set’s event destination, Amazon SES rewrites links in HTML email to redirect through awstrack.me, recording click events before sending the user to the original URL.

Configuration sets — Configuration sets are the control surface for both features. Tracking activates only when an event destination explicitly includes OPEN or CLICK in its matching event types. You can have multiple configuration sets with different tracking configurations and select the appropriate one at send time.

Per-request tracking overrides — Amazon SES now supports open and click tracking override parameters directly in the SendEmail and SendBulkEmail APIs through the ConfigurationOverrides object. You can enable or disable open tracking and click tracking on an individual API call, without maintaining separate configuration sets. The override takes precedence over the tracking behavior defined in the associated configuration set, giving you fine-grained, per-recipient control at send time. This is the most direct way to honor recipient-level consent choices.

Event publishing and metrics — Open and click events are published to the destinations you configure: Amazon CloudWatch, Amazon Data Firehose, or Amazon EventBridge. Plan for reduced fidelity in open-rate dashboards for recipients in jurisdictions where you cannot track without consent.

Note on Amazon SES Contact Lists: Contact Lists manage topic-level subscription preferences (for example, marketing versus transactional) and control whether Amazon SES delivers to a contact. They do not control tracking behavior. There is no native mapping between a contact’s subscription status and tracking pixel injection. Tracking consent must be managed separately in your application.

Prerequisites

To follow the steps in this post, you should be familiar with Amazon SES configuration sets and basic email sending concepts. You also need the following:

  • An AWS account with Amazon SES out of sandbox mode.
  • AWS Identity and Access Management (IAM) permissions to create and manage Amazon SES configuration sets (ses:CreateConfigurationSet, ses:CreateConfigurationSetEventDestination, ses:DeleteConfigurationSet).
  • The AWS Command Line Interface (AWS CLI) version 2 installed and configured, or access to the AWS SDK for Python (Boto3).

The most direct approach to consent-based tracking uses the ConfigurationOverrides parameter in the SendEmail API. This approach requires only a single configuration set with tracking-enabled event destinations. At send time, you override the tracking behavior based on each recipient’s consent status.

AWS SDK:

import boto3

ses_client = boto3.client("sesv2", region_name="us-east-1")

def send_campaign_email(subscriber: dict, subject: str, html_body: str):
    # Determine tracking behavior based on recipient consent
    tracking_consent = subscriber.get("tracking_consent", False)

    # Use ConfigurationOverrides.Tracking to control per-request behavior
    ses_client.send_email(
        FromEmailAddress="[email protected]",
        Destination={"ToAddresses": [subscriber["email"]]},
        Content={
            "Simple": {
                "Subject": {"Data": subject},
                "Body": {"Html": {"Data": html_body}},
            }
        },
        ConfigurationSetName="my-config-set",
        ConfigurationOverrides={
            "Tracking": {
                "OpenTrackingEnabled": tracking_consent,
                "ClickTrackingEnabled": tracking_consent,
            }
        },
    )

The ConfigurationOverrides.Tracking object takes precedence over the configuration set’s event destination settings for that individual send. If the recipient has not consented, Amazon SES does not inject the tracking pixel or wrap links, regardless of whether the configuration set has OPEN and CLICK events enabled.

Advantages of per-request overrides:

  • No need to maintain separate configuration sets for tracked versus untracked sends.
  • A single configuration set can handle all recipients, which simplifies event destination management, suppression, and DomainKeys Identified Mail (DKIM) and domain settings.
  • Per-recipient control without branching logic for configuration set selection.
  • Works with SendBulkEmail as well, setting tracking overrides per recipient in the bulk request.

SMTP interface — If you send through SMTP, per-request overrides are not available. Use Option B (separate configuration sets) instead.

Option B: Use separate configuration sets

If you send through SMTP or prefer to separate tracking behavior at the configuration set level, create two configuration sets: one with tracking enabled for consented recipients, and one with no tracking for non-consented recipients.

Console: In the Amazon SES console, choose Configuration sets, and then choose Create configuration set. To enable tracking on the first set, add an event destination and include OPEN and CLICK in the matching event types. Create a second set with no OPEN or CLICK event destinations, or omit event destinations entirely.

AWS CLI:

# Configuration set with tracking enabled (for consented recipients)
aws sesv2 create-configuration-set \
    --configuration-set-name tracking-enabled

aws sesv2 create-configuration-set-event-destination \
    --configuration-set-name tracking-enabled \
    --event-destination-name open-click-destination \
    --event-destination '{
    "Enabled": true,
    "MatchingEventTypes": ["SEND","DELIVERY","BOUNCE","COMPLAINT","OPEN","CLICK"],
    "CloudWatchDestination": { ... }
}'

# Configuration set with no tracking (for non-consented recipients)
aws sesv2 create-configuration-set \
    --configuration-set-name no-tracking

Replace { … } with your CloudWatch destination configuration. For the full parameter structure, see Managing Amazon SES event destinations.

No event destination for OPEN or CLICK means no pixel is injected and no links are wrapped.

Send-time selection:

Your application selects the configuration set for each message based on the recipient’s consent status.

import boto3

ses_client = boto3.client("sesv2", region_name="us-east-1")

def send_campaign_email(subscriber: dict, subject: str, html_body: str):
    config_set = (
        "tracking-enabled"
        if subscriber.get("tracking_consent")
        else "no-tracking"
    )
    ses_client.send_email(
        FromEmailAddress="[email protected]",
        Destination={"ToAddresses": [subscriber["email"]]},
        Content={
            "Simple": {
                "Subject": {"Data": subject},
                "Body": {"Html": {"Data": html_body}},
            }
        },
        ConfigurationSetName=config_set,
    )

SMTP interface — Set the configuration set through the X-SES-CONFIGURATION-SET header:

X-SES-CONFIGURATION-SET: no-tracking

To disable click tracking on individual links within a tracked email (for example, your unsubscribe link), use the ses:no-track attribute:

<a ses:no-track href="https://anycompany.example.com/unsubscribe">Unsubscribe</a>

Amazon SES strips the ses:no-track attribute before delivery, so recipients never see it. This works with both Option A and Option B.

Regardless of which option you choose, Amazon SES provides the mechanisms to enable or disable tracking at send time. You are responsible for:

  • Maintaining a consent database recording each recipient’s tracking consent status.
  • Determining at send time whether a recipient has consented to open and click tracking.
  • Passing the correct override parameter (Option A) or selecting the appropriate configuration set (Option B) based on that determination.

Important: Once an email is delivered with a tracking pixel, it cannot be retroactively deactivated.

Capture consent at sign-up. France’s data protection authority (CNIL) recommends collecting tracking consent at the point of email address collection. Include a clearly labeled, unchecked checkbox. For example: “I agree to allow AnyCompany to track whether I open or click email to improve future communications.” This is a separate checkbox from consent to receive marketing email.

Store consent with proof. You must be able to demonstrate valid consent for each individual. Store a consent timestamp and source alongside the subscriber record:

import boto3
from datetime import datetime, timezone

dynamodb = boto3.resource("dynamodb")
table = dynamodb.Table("Subscribers")

def save_subscriber(email: str, marketing_consent: bool, tracking_consent: bool):
    table.put_item(
        Item={
            "email": email,
            "marketing_consent": marketing_consent,
            "tracking_consent": tracking_consent,
            "tracking_consent_timestamp": datetime.now(timezone.utc).isoformat(),
            "tracking_consent_source": "sign-up-form-v2",
        }
    )

Make refusal as straightforward as acceptance. Do not use pre-checked boxes or dark patterns that make opting out harder than opting in.

Provide withdrawal at any time. Every email sent with tracking enabled must include a link that recipients can use to withdraw tracking consent independently of unsubscribing. A “Manage email preferences” link in the footer, separate from the unsubscribe link, satisfies this requirement:

<p style="font-size:12px; color:#666;">
  <a href="https://anycompany.example.com/email-preferences?token={SUBSCRIBER_TOKEN}">Manage email preferences</a>
  &nbsp;|&nbsp;
  <a href="{UNSUBSCRIBE_URL}">Unsubscribe</a>
</p>

Replace {SUBSCRIBER_TOKEN} with a signed token that identifies the subscriber’s record in your consent database. Replace {UNSUBSCRIBE_URL} with your Amazon SES one-click unsubscribe URL or list-unsubscribe endpoint.

Monitoring and governance

Audit event volumes. Use Amazon SES event publishing to monitor open and click event counts. If you use Option B, compare volumes between tracking-enabled and no-tracking. If you use Option A, monitor the ratio of sends with tracking enabled versus disabled. A sudden drop in consented opens might indicate an issue with your consent capture flow.

Review data retention. If you rely on the deliverability-only exemption for any segment, verify that your data pipeline retains only the date of last open, not the time, IP address, or user-agent string. Collecting those fields, even temporarily, voids the exemption per CNIL guidance.

Document your consent architecture. Maintain a record of how and when each subscriber provided consent, which form version was in use, and where the consent data is stored.

Clean up

If you created test configuration sets while following this post and do not intend to use them, delete them to avoid unintended configuration being applied to future sends.

aws sesv2 delete-configuration-set --configuration-set-name tracking-enabled
aws sesv2 delete-configuration-set --configuration-set-name no-tracking

Conclusion

Amazon SES gives you the tools to obtain prior consent before tracking opens and clicks. With per-request tracking overrides, you can honor consent decisions inline with each API call, with no additional configuration sets required. For senders using SMTP, separate configuration sets achieve the same outcome. Combined with consent capture at sign-up and a preferences management link in every tracked email, you can maintain meaningful analytics for consented recipients while respecting the privacy of those who have not opted in.

For more information, see the following resources in the Amazon SES Developer Guide:


About the authors

How to build a serverless mass email solution with Amazon SES

Post Syndicated from Brad Watson original https://aws.amazon.com/blogs/messaging-and-targeting/how-to-build-a-serverless-mass-email-solution-with-amazon-ses/

Sending mass email campaigns presents significant challenges for many organizations. Enterprises often spend millions annually on proprietary email systems that are inflexible and expensive to maintain. These legacy platforms can restrict sending capacity, offer limited control, and require costly licensing agreements. The challenges intensify when handling large-scale communications like automated notifications, bulk marketing campaigns, and system-generated alerts. These scenarios create reliability issues, scaling limitations, and rising costs that impact teams’ ability to communicate effectively with customers.

Recently, a large federal organization faced similar challenges, spending over a million dollars annually on their email campaigns. By building a custom email solution on AWS, they sent a 2 million email campaign for approximately $300. This cost includes Amazon Simple Email Service (Amazon SES) and other AWS services. This transformation cut costs while providing the scalability and flexibility they needed for their growing campaign needs.

This transformation succeeded because building a cloud-native serverless mass email solution offers several advantages:

  • Cost optimization.
    • Pay only for email sent and actual compute resources used.
    • Remove costs associated with managing email servers.
    • Remove expensive licensing fees and maintenance overhead.
  • Scalability and reliability.
    • Automatically handle varying email volumes without infrastructure changes.
    • Support reliable delivery through built-in retry mechanisms and error handling.
    • Perform consistently during peak sending periods.
  • Security and compliance.
    • Secure access control through AWS Identity and Access Management (IAM) roles with least-privilege principles.
    • Comprehensive audit trails for all email campaigns with detailed logging to support your reporting requirements.
    • Detailed logging that customers can use for their compliance and reporting requirements.
    • Data encryption in transit and at rest that you can configure.

In this post, we explore the architecture of a cloud-native serverless mass email solution that integrates Amazon SES with AWS Step Functions, Amazon API Gateway, and Amazon DynamoDB. You will learn how these services work together to process email campaigns at scale while minimizing cost. Let’s get started!

Solution overview

The serverless mass email solution consists of two main components: a user-friendly frontend interface and a scalable serverless backend. The frontend operates completely independently from the backend processing system, communicating through RESTful APIs from Amazon API Gateway. With this architecture, you can use the provided frontend interface as-is. Alternatively, you can integrate your own custom UI or existing applications while using the same backend email processing infrastructure.

The following diagram shows the complete architecture of the serverless mass email solution, including how the frontend and backend components connect through API Gateway to process email campaigns.

Complete serverless mass email architecture, with the frontend and backend connected through Amazon API Gateway

Figure 1: Complete architecture

Frontend architecture and user flow

The frontend of the solution prioritizes usability while providing email campaign capabilities. Here’s how the components work together:

Frontend architecture: web interface, Amazon Cognito authentication, and requests through API Gateway to AWS Lambda

Figure 2: Frontend architecture of the SES email application

  1. Login – Users navigate to the web interface URL (hosted on Amazon Simple Storage Service (Amazon S3)) which prompts them to authenticate.
  2. User authentication – Amazon Cognito handles authentication, providing secure user management and restricting access to authorized users.
  3. User interface – After successful authentication, users are redirected to a graphical user interface (GUI) where they can design and save email templates and launch large-scale campaigns (refer to figures 3 and 4).
    1. Templates.
      1. Amazon SES supports two types of templates: stored and inline. Stored templates live in SES, and you can reuse them across campaigns. With inline templates, you define the content and variables directly in the email sending request. Both approaches support dynamic personalization by replacing variables with recipient-specific data when the email is sent. For example, you can create a template that personalizes each email with the recipient’s name, custom offers, or any other dynamic content. For detailed information about template capabilities and personalization options, refer to the Amazon SES template documentation.

The following screenshots show the campaign interface, the template creation interface, and the campaign monitoring interface.

Email template creation interface of the mass email application

Figure 3: Email template creation interface

Mass email campaign interface of the application

Figure 4: Mass email campaign interface

Campaign monitoring interface showing the delivery status of a mass email campaign

Figure 5: Campaign monitoring interface

  1. Request processing – Each user action triggers a secure request through Amazon API Gateway to AWS Lambda functions, which then coordinate with our backend processing system.

From the user’s perspective, the experience is similar to using any standard email platform, with the added capability of handling campaigns at scale. This interface helps marketing teams, customer success managers, and business operations staff create and launch email campaigns directly through their browser, without needing to understand complex email protocols.

Backend architecture

After a user initiates an email campaign, our backend orchestrates a series of steps to facilitate reliable, large-scale email delivery. Let’s follow how an email campaign flows through the system:

Backend architecture: Step Functions orchestrates batching, Lambda sends email through Amazon SES, and DynamoDB logs delivery attempts

Figure 6: Backend architecture of the SES email application

As shown in the preceding figure, the backend processes email campaigns through the following steps:

  1. Email campaign processor – When a user creates a new campaign through the GUI, a Lambda function processes the initial request, taking the user’s selected email template and campaign parameters. The function then triggers an AWS Step Functions workflow.
  2. Workflow orchestration – The Step Functions workflow acts as the conductor and coordinates the entire email sending process. It initializes the campaign, sets up necessary configurations, and organizes the campaign into manageable batches.
  3. Recipient processing – Before sending email, the Step Functions workflow retrieves recipient information, including the recipient’s name and email address, from DynamoDB and checks it for accurate delivery details.
  4. Batch email processing – The Step Functions workflow begins organizing the email into manageable batches. The workflow queues these batches in Amazon Simple Queue Service (Amazon SQS), preparing them for processing.
  5. Batch monitoring – As batches move through the system, Step Functions actively monitors their progress, tracking the status of each batch throughout the sending process.
  6. Email sending – When SQS receives a message, it invokes a Lambda function that sends the email to Amazon SES for delivery. The function logs each delivery attempt in DynamoDB, with failed deliveries automatically returning to the SQS queue for retry attempts. It also records successful deliveries to support idempotency and prevent duplicate sends.
  7. Record management – DynamoDB stores an audit trail that tracks both successful and failed delivery attempts, providing detailed logs to support reporting, campaign performance assessments, and compliance efforts.

Using these AWS services, the solution automatically scales from sending a few email to millions without manual intervention or infrastructure provisioning. You pay only for what you use, with no idle server costs. To demonstrate the cost-effectiveness of this architecture: sending 10,000 email costs approximately USD $4, including all AWS service charges. For current pricing details, refer to Amazon SES pricing.

To deploy this solution in your AWS account, refer to the source code on GitHub.

Conclusion

In this post, we explored the architecture of a scalable email sending solution using Amazon SES and other AWS serverless services. This architecture removes the complexity of traditional email infrastructure while providing capabilities for handling large-scale email campaigns. Whether you’re looking to modernize your existing email infrastructure or stand up a new solution, this serverless approach offers the ideal combination of streamlined design, scalability, and cost-effectiveness.

Additional resources


About the authors

Build an AI email pipeline with Amazon Bedrock and SES Mail Manager

Post Syndicated from Zip Zieper original https://aws.amazon.com/blogs/messaging-and-targeting/build-an-ai-email-pipeline-with-amazon-bedrock-and-ses-mail-manager/

Processing inbound email attachments at scale involves extracting files, routing them by recipient, scanning for malware, and classifying content. This traditionally requires stitching together polling loops, event rules, and multiple integration points. Amazon Simple Email Service (Amazon SES) Mail Manager now provides two new rule actions that simplify this pattern. The Lambda action invokes AWS Lambda functions directly from rule sets, and the Bounce action returns rejection responses. Together, they let you build multi-step email processing pipelines with declarative configuration.

In this post, you learn how to build an attachment processing pipeline that automatically extracts email attachments and classifies them with Amazon Bedrock. The pipeline also rejects infected files with RFC-compliant bounce responses. The complete implementation is available as an AWS Cloud Development Kit (AWS CDK) deployment in the companion GitHub repository sample-amazon-ses-mail-manager-attachment-pipeline. You can deploy it manually using the steps in this post, or hand it off to an AI coding agent such as Kiro or Claude Code. The repository includes a machine-readable agentic deployment guide that walks an agent through every deployment step, from prerequisite checks to post-deploy verification.

Architecture of the inbound email pipeline: SES Mail Manager routes messages through a traffic policy and rule set to AWS Lambda, Amazon Simple Storage Service (Amazon S3), Amazon DynamoDB, and Amazon Bedrock

The problem: scaling document intake for a multi-tenant platform

Consider a fictitious SaaS platform from AnyCompany that lets customers submit documents by email. Each customer sends invoices, contracts, and supporting files to a dedicated address (for example, [email protected] or [email protected]). They expect those attachments to land in their isolated storage, classified and ready for downstream processing.

Without a purpose-built pipeline, the typical approach looks like this: an Amazon S3 event notification triggers a Lambda function that polls for new MIME objects, parses them, looks up the recipient in a routing table, and fans out extraction to another function. Worse, it relies on a separate virus-scanning step having run first. Orchestration lives in AWS Step Functions or Amazon EventBridge rules. Adding a new customer means updating routing configuration in multiple places. Adding classification means bolting on yet another Lambda in the chain.

The result is fragile. When volume spikes during month-end invoice runs or onboarding waves, the polling loop backs up and retries cascade. Infected files occasionally slip past the scanner because the scan and extraction steps are not transactionally linked.

This pipeline solves the problem declaratively. Mail Manager’s traffic policy rejects unauthorized senders and enforces size limits at the SMTP connection level. This filtering happens before any processing resources are consumed. The rule set handles virus scanning, bouncing, archiving, classification, and extraction in a single ordered sequence. Each step completes before the next begins. If an attachment is infected, the sender gets an immediate SMTP bounce. There are no silent failures and no orphaned files in downstream storage.

The result is a pipeline where:

  • Adding a customer means adding an email address to the Mail Manager address list and a row in Amazon DynamoDB. No changes to code.
  • Adding a classification category means editing a prompt string. No schema migration.
  • Infected files never reach storage because the bounce fires during the SMTP transaction, before any Lambda is invoked.

Pipeline architecture overview

Table 1: Architecture components and their roles in the email processing pipeline

Component Role
Amazon SES Mail Manager open Ingress Endpoint Email arrives via public internet at a Mail Manager open ingress point over SMTP.
Mail Manager traffic policy Filters spam using the Abusix (or Spamhaus) email add-on, then enforces a recipient allowlist at the connection level.
Mail Manager rule set Messages for allowed recipients are passed to the rule set, which sequentially evaluates each message against two rules.
Rule 1 Uses the Trend Micro email add-on to scan for infected attachments, then bounces any unsafe messages back to sender (using Amazon SES outbound).
Rule 2 Clean messages passed from Rule 1 are copied to a Mail Manager archive and written as raw Multipurpose Internet Mail Extensions (MIME) objects to a “landing-zone” Amazon S3 bucket.
AWS Lambda (AttachmentProcessor) Triggered by the arrival of objects in the S3 bucket, this function parses MIME email, extracts attachments, and routes them to per-recipient S3 buckets.
AWS Lambda (EmailCategorizer) Triggered by the arrival of objects in the landing-zone S3 bucket, this function classifies each email using Amazon Nova Micro via Amazon Bedrock and writes results to Amazon DynamoDB.
Amazon S3 (landing zone + per-recipient buckets) Stores raw MIME objects in a shared landing-zone bucket; stores extracted attachments in isolated per-recipient buckets keyed by local part (for example, invoices/ for [email protected]).
Amazon DynamoDB (RecipientBucketLookup) Maps recipient email addresses to their designated S3 bucket and key prefix.
Amazon DynamoDB (EmailCategories) Stores Amazon Bedrock classification results: category, urgency, and summary.
Amazon Bedrock (Amazon Nova Micro) Classifies each email into a category (invoice, contract, HR, unknown) and urgency level.
AWS IAM roles Mail Manager and Lambda execution permissions following the principle of least privilege.

How the Mail Manager traffic policy filters connections

The traffic policy (Receive-attachments) makes connection-level decisions before any message content is processed. It evaluates two statements in order:

  1. Deny spam — Connections from senders flagged by Abusix as spam sources are denied immediately.
  2. Allow approved recipients — Connections where the recipient is in the approved-recipients address list pass through to the rule set.

The policy uses a default action of DENY, so any connection that does not match an explicit ALLOW statement is rejected. The policy also enforces a 35 MB maximum message size. You can add additional statements to enforce SPF, DKIM, or DMARC authentication results. This is useful in regulated industries where sender verification is required before any processing occurs.

The PolicyStatements array defines the evaluation order (deny first, then allow):

PolicyStatements=[
    {   # Statement 1: Deny connections from known spam sources
        "Action": "DENY",
        "Conditions": [{"BooleanExpression": {
            "Evaluate": {"Analysis": {"Analyzer": "ABUSIX_ADDON_ARN", "ResultField": "isListed"}},
            "Operator": "IS_TRUE",
        }}],
    },
    {   # Statement 2: Allow only recipients in the approved list
        "Action": "ALLOW",
        "Conditions": [{"BooleanExpression": {
            "Evaluate": {"IsInAddressList": {"Attribute": "RECIPIENT", "AddressLists": ["ADDRESS_LIST_ARN"]}},
            "Operator": "IS_TRUE",
        }}],
    },
]

For the complete create_traffic_policy call with all parameters, see the companion repository.

API reference: CreateTrafficPolicy

Rule set: the processing pipeline

Messages that pass the traffic policy enter the rule set (attachment-pipeline-rules), which evaluates two rules in order.

Rule 1 — Virus scan and bounce

This rule checks the Trend Micro add-on result. If Trend Micro reports isPassed = FALSE (infected attachment detected) — note that Mail Manager has already accepted the message by this point — the rule fires a Bounce action, which generates a non-delivery report (NDR) back to the sender with SMTP 550 (permanent failure) and status 5.7.1 (security/policy reason). It then Drops the message. No further rules run.

This after-the-fact NDR prevents infected messages from entering your processing pipeline while still providing clear guidance to legitimate senders.

Rule 2 — Process clean email

This rule has no conditions, so it applies to every message that passed the virus scan. It runs four actions in sequence:

  1. Archive — Mail Manager stores a copy in the archive for compliance and electronic discovery (eDiscovery).
  2. WriteToS3 — Mail Manager writes the raw MIME object to the amzn-s3-demo-bucket-general-receiving S3 bucket, keyed by message ID.
  3. InvokeLambda (EmailCategorizer, REQUEST_RESPONSE) — Mail Manager invokes the categorizer, which classifies the email with Amazon Bedrock and writes results to Amazon DynamoDB.
  4. InvokeLambda (AttachmentProcessor, REQUEST_RESPONSE) — Mail Manager invokes the processor, which extracts attachments and routes them to per-recipient S3 locations.

The categorizer fires before the attachment processor by design: the attachment processor deletes the original MIME from Amazon S3 after successfully extracting attachments. By running first, the categorizer is guaranteed to find the MIME in Amazon S3.

Because the Bounce and Drop actions fire in Rule 1, the Lambda functions in Rule 2 are never invoked for infected messages. There is no risk of malicious content reaching your Amazon S3 buckets or Amazon Bedrock.

API reference: CreateRuleSet

How Amazon Bedrock classifies inbound email

The MailManager-EmailCategorizer function uses Amazon Nova Micro (amazon.nova-micro-v1:0) to classify each email. Amazon Nova Micro is a fast, lightweight text-only model optimized for classification and structured output tasks. Access to all Amazon Bedrock foundation models, including Amazon Nova Micro, is available by default in all commercial AWS Regions. No access request is needed.

The function performs the following steps:

  1. Parses the recipient, message ID, and subject from the Mail Manager event.
  2. Retrieves the raw MIME from the amzn-s3-demo-bucket-general-receiving S3 bucket.
  3. Extracts the plain-text or HTML body from the MIME structure.
  4. Sends the subject (capped at 500 characters) and body (capped at 4,000 characters) to Amazon Bedrock with a classification prompt.
  5. Writes the structured result to the EmailCategories DynamoDB table.

The classification prompt returns a structured JSON response:

{
    "category": "invoice | contract | hr | unknown",
    "urgency": "urgent | non-urgent",
    "summary": "<50-word summary>"
}

If Amazon Bedrock returns an error or malformed JSON, the function falls back to category: unknown, urgency: non-urgent and continues. It never blocks the attachment processor.

Choosing a classification model

To customize the classification categories for your use case, update the SYSTEM_PROMPT in the categorizer Lambda function. The prompt uses a structured instruction format that you can extend with additional categories, urgency levels, or routing rules. For example, an insurance carrier could add categories like claim_new, claim_status, document_submission, and complaint to automatically triage patient email. You can also update the COMPANY_NAME environment variable to inject your organization’s name into the classification prompt without modifying the function code.

To switch the model, update the BEDROCK_MODEL_ID environment variable. The following table compares supported options:

Model Model ID Best for Latency Relative cost
Amazon Nova Micro amazon.nova-micro-v1:0 Fast structured classification, low latency ~200ms Lowest
Amazon Nova Lite amazon.nova-lite-v1:0 Richer summaries, multi-label classification ~400ms Moderate
Anthropic Claude 3 Haiku anthropic.claude-3-haiku-20240307-v1:0 Complex reasoning, nuanced categorization ~600ms Higher

Attachment extraction and routing

The MailManager-AttachmentProcessor function handles MIME parsing, recipient-based routing, and cleanup. It performs the following steps:

  1. Parses the recipient email address and message ID from the Mail Manager event information.
  2. Retrieves the raw MIME message from the amzn-s3-demo-bucket-general-receiving S3 bucket using the message ID from the event as the S3 key.
  3. Looks up the recipient’s S3 destination in the RecipientBucketLookup DynamoDB table, or creates a new entry if this is the first email for that recipient.
  4. Extracts attachment parts from the MIME message, skipping plain-text and HTML body parts that have no file name.
  5. Copies each attachment to the recipient’s S3 bucket at the prefix {local_part}/ (for example, invoices/ for [email protected]).
  6. Deletes the original MIME object from the landing-zone bucket, but only if every attachment copy succeeded. If any copy failed, the MIME is retained for retry.
  7. Returns a response to Mail Manager indicating success or failure.

This synchronous invocation pattern allows the rule set to make routing decisions based on the Lambda function’s response. If attachment extraction fails, subsequent rules can bounce the message or route it to a quarantine location.

Attachment detection logic

The function detects attachments using three criteria:

  1. Content-Disposition containing attachment.
  2. Any MIME part with a file name (even if disposition is inline or missing).
  3. Non-text, non-multipart parts (such as application/pdf or image/*).

For parts without a file name, the function generates one from the content type (for example, attachment.pdf).

Input validation and security

The pipeline implements the following input validation to protect against malicious content and unexpected inputs:

  • messageId validation — the messageId from the Mail Manager event is validated against an alphanumeric-plus-hyphen pattern ([a-zA-Z0-9\-]+) before use as an S3 key. Unexpected formats raise a ValueError, which causes Mail Manager to apply the ActionFailurePolicy.
  • Attachment filename sanitization — filenames from MIME Content-Disposition headers are attacker-controlled. Before use as S3 key components, each filename is processed through os.path.basename() to strip directory components, leading-dot stripping to prevent hidden-file creation, and a character allowlist ([\w.\- ]). Filenames are also truncated to 255 characters.
  • Prompt size caps — the email body sent to Amazon Bedrock is capped at 4,000 characters. The subject line is capped at 500 characters, preventing oversized prompts and excessive token usage.

The following additional controls are recommended before adapting this pipeline for production:

  • Validate attachment file types against an approved allowlist (such as .pdf, .docx, .xlsx). Reject or quarantine messages with disallowed file types.
  • Implement per-attachment size limits in addition to the overall 35 MB message size limit.
  • Verify MIME structure integrity before parsing. Handle malformed MIME structures as error conditions.
  • Log validation failures to Amazon CloudWatch for security monitoring and audit purposes.

AWS CloudFormation and CDK support for Mail Manager rule actions

The InvokeLambda and Bounce rule actions are supported natively in AWS::SES::MailManagerRuleSet as of March 2026. The companion CDK stack uses CfnMailManagerRuleSet directly. No Custom Resource is required.

When using the Python CDK L1 bindings, note that typed property classes for Bounce and InvokeLambda are not yet exposed in the Python bindings. Pass these actions as plain dicts with camelCase keys matching the AWS CloudFormation property names. RuleActionProperty accepts Dict[str, Any] for each field:

ses.CfnMailManagerRuleSet.RuleActionProperty(
    bounce={
        "smtpReplyCode": "550",
        "statusCode": "5.7.1",
        "diagnosticMessage": "Your attachment was infected.",
        "sender": "[email protected]",
        "roleArn": role.role_arn,
        "actionFailurePolicy": "CONTINUE",
    }
)

API reference: AWS::SES::MailManagerRuleSet | AWS CDK API Reference

Prerequisites

This post and companion GitHub project assume familiarity with SMTP protocols, email infrastructure concepts, AWS Lambda, Amazon S3, Amazon DynamoDB, and AWS IAM.

Estimated time: 20–30 minutes to deploy and test.

Estimated cost: This pipeline uses a Mail Manager open ingress endpoint that costs $50/mo in addition to various AWS services that are charged based on actual usage. In a low-volume test environment (fewer than 1,000 email messages per day), costs should typically be under $60 USD per month driven primarily by Mail Manager archiving, S3 storage, Lambda invocations, and Amazon Bedrock token usage. Use the AWS Pricing Calculator to estimate costs for your expected volume.

AWS IAM permissions: The deploying user needs permissions to create and manage AWS CloudFormation stacks, Lambda functions, S3 buckets, DynamoDB tables, AWS IAM roles, and Amazon SES Mail Manager resources. For testing, AdministratorAccess is sufficient. For production, scope permissions to the specific actions required: cloudformation:CreateStack, lambda:CreateFunction, s3:CreateBucket, dynamodb:CreateTable, iam:CreateRole, iam:PassRole, ses:CreateTrafficPolicy, ses:CreateRuleSet, and ses:CreateAddressList. (Separately, the Lambda functions’ own execution roles, created by the stack, grant bedrock:InvokeModel at runtime; that permission is not needed by the person deploying the stack.)

To deploy this pipeline, you need the following:

  1. An active AWS account.
  2. AWS Command Line Interface (AWS CLI) version 2.x or later installed and configured with credentials and default region.
  3. AWS CDK version 2.x or later installed (npm install -g aws-cdk) and Python 3.12 or later.
  4. Amazon SES configured with production access in the target region with a verified Amazon SES identity for the bounce sender address.
  5. Ability to administer the DNS entries for the Amazon SES identity to add an MX record pointing to the Mail Manager ingress endpoint’s A record.

Deployment

Tip: Whichever path you choose, review the Prerequisites section first to make sure your AWS account has the necessary permissions and that you have a verified domain available in Amazon SES. The complete solution is available as an open-source reference implementation. To deploy it in your AWS account, clone the companion repository:

git clone https://github.com/aws-samples/sample-amazon-ses-mail-manager-attachment-pipeline.git
cd sample-amazon-ses-mail-manager-attachment-pipeline

From here, you have two paths to get up and running:

Option 1: Deploy manually

Follow the step-by-step instructions in the repository’s README.md. At a high level, you will:

  1. Install prerequisites (AWS CDK, Node.js, Python).
  2. Configure your environment variables (AWS account, region, verified domain).
  3. Bootstrap your CDK environment.
  4. Deploy the stack with cdk deploy.
  5. Complete post-deployment verification (confirm email receiving rules are active and test with a sample message).

Option 2: Deploy with a coding agent

If you use an AI-powered coding assistant (such as Amazon Q Developer CLI or Kiro), install the AWS MCP server and SES/Mail Manager skills to empower your AI assistants with deep context on Amazon SES and Mail Manager. These resources give your assistant live access to AWS APIs and CDK documentation, which significantly reduces trial-and-error during deployment. The repository’s AGENTS.md file contains machine-readable guidance, deployment failure recovery patterns, and region handling notes specifically for AI assistants. Simply point your AI assistant at the AGENTS.md file in the repository root. This file provides structured, machine-readable instructions that guide the agent through the full deployment, from prerequisite checks through stack deployment and validation, without manual intervention.

# Example: point your agent at the instructions
@agent follow AGENTS.md

Validating the deployment

Once your stack is deployed and the MX record is in place, send a test email with an attachment to one of your approved recipient addresses. Then confirm each stage of the pipeline executed successfully:

1. Check Lambda execution

Open Amazon CloudWatch Logs for both functions and confirm they completed without errors:

aws logs tail /aws/lambda/MailManager-EmailCategorizer --follow
aws logs tail /aws/lambda/MailManager-AttachmentProcessor --follow

You should see log entries showing the message ID being processed by each function in sequence: the categorizer first, then the attachment processor.

2. Confirm email classification

Query the EmailCategories DynamoDB table to verify Amazon Bedrock classified your test message:

aws dynamodb scan --table-name EmailCategories --max-items 1

A successful record includes category, urgency, and a short summary, all generated by Amazon Nova Micro from the email’s subject and body.

3. Verify attachment extraction

Look up your recipient’s S3 destination in the RecipientBucketLookup table, then list the bucket contents to confirm the attachment arrived:

aws dynamodb get-item --table-name RecipientBucketLookup \
  --key '{"recipient": {"S": "[email protected]"}}'

aws s3 ls s3://<bucket-name>/<prefix>/ --recursive

If all three checks pass, your pipeline is fully operational. Email messages are being scanned, classified, and routed to per-recipient storage without any external orchestration.

Troubleshooting

If your test email does not flow through the pipeline as expected, start with these common issues:

Symptom Likely cause Resolution
Bounce action fails silently — infected emails are dropped without notification The bounce_sender identity is not verified in the deployment region. Amazon SES identities are regional. Verify the domain in your target region: aws sesv2 create-email-identity --email-identity example.com --region <region>, add the DKIM CNAMEs to DNS, and wait for verification. No redeployment required.
Bounce action returns a validation error bounce_sender is set to a bare domain instead of an email address Use a full address like [email protected], not just example.com

For CDK deployment issues, stack rollback errors, and teardown conflicts, see the repository troubleshooting guide.

General debugging tip: Both Lambda functions log to /aws/lambda/MailManager-EmailCategorizer and /aws/lambda/MailManager-AttachmentProcessor in Amazon CloudWatch Logs. Start there for any runtime failures.

Clean up

To avoid ongoing charges, destroy the stack when you are done:

AWS_DEFAULT_REGION= cdk destroy

Note: If the destroy fails with a ConflictException, detach the ingress point from the traffic policy first. Amazon DynamoDB tables created with RETAIN policies may also need manual deletion. See the repository’s Common failure modes table for details.

Do not forget to remove the MX record from your domain’s DNS once the ingress point is deleted. After completing the clean up, verify on the AWS Management Console that the Mail Manager ingress endpoint, Amazon S3 buckets, Amazon DynamoDB tables, and Lambda functions no longer appear in your account.

Conclusion

The Lambda action and Bounce action in Amazon SES Mail Manager support multi-step inbound email processing without complex orchestration workarounds. This pipeline demonstrates how these capabilities work together in production: scanning attachments for malware, classifying email content with AI, extracting and routing files to per-recipient storage, and providing immediate RFC-compliant feedback to senders. The modular architecture supports extension: add new classification categories, integrate additional scanning engines, or chain Lambda functions for multi-stage processing. The synchronous invocation pattern means that every processing step completes before the next begins, giving you full control over the pipeline flow. Get started by cloning the sample-amazon-ses-mail-manager-attachment-pipeline repository and deploying to your account. For an overview of the four new Mail Manager capabilities used in this pipeline, see Four new Amazon SES Mail Manager capabilities, explained.

FAQ

Q: Can I use a different Amazon Bedrock model for email classification?

Yes. Update the BEDROCK_MODEL_ID environment variable on the MailManager-EmailCategorizer Lambda function. No changes to code are required. See the preceding model comparison table for supported options.

Q: Do I need to request access to Amazon Nova Micro?

No. In all commercial AWS Regions, access to Amazon Bedrock foundation models including Amazon Nova Micro is available by default. AWS GovCloud (US) regions require an explicit access request through the Amazon Bedrock console.

Q: What happens if the Lambda function times out or fails?

A REQUEST_RESPONSE invocation is time-bounded to approximately 30 seconds, or sooner if your function’s own configured timeout is shorter. In either case, Mail Manager applies the ActionFailurePolicy configured on the rule action. If set to CONTINUE, the pipeline moves to the next action. If set to DROP, the message is discarded. This pipeline uses CONTINUE, so a transient classification failure does not block attachment delivery.

Q: Can I add more classification categories?

Yes. Edit the SYSTEM_PROMPT in the categorizer Lambda function. The function writes whatever categories the model returns to Amazon DynamoDB. No schema changes are needed.

Q: How does the pipeline handle email messages with no attachments?

The AttachmentProcessor detects zero attachment parts, skips extraction, deletes the raw MIME from the landing-zone bucket, and returns success. The EmailCategorizer still classifies the message normally.

Q: What is the maximum attachment size supported?

The traffic policy enforces a 35 MB maximum message size (total MIME payload including all attachments and base64 encoding overhead). Individual attachments are not size-limited beyond this total cap.

Q: Can I deploy this with an AI coding agent?

Yes. The repository includes an AGENTS.md file with machine-readable deployment instructions. Point your AI assistant (Kiro, Claude Code, Amazon Q Developer CLI) at this file and it handles the full deployment without manual intervention.

Q: Is the Bounce action RFC-compliant?

Yes, with one clarification: it is not a live SMTP-transaction rejection. Mail Manager first accepts the message, then the rule set runs. If the Bounce action fires, it generates a non-delivery report (NDR) back to the sender with an RFC 5321-compliant SMTP reply code and an RFC 3463-compliant enhanced status code.


About the authors

How Fanatics Commerce built a scalable email platform on Amazon SES

Post Syndicated from Paul DeLaria original https://aws.amazon.com/blogs/messaging-and-targeting/how-fanatics-commerce-built-a-scalable-email-platform-on-amazon-ses/

Fanatics Commerce is a leading designer, manufacturer, and retailer of licensed consumer products, including fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods. Whether it’s a championship jersey or a last-minute gift, fans trust Fanatics to deliver and that trust extends to every digital touchpoint along the way.

Every order confirmation, shipping notification, and account update represents a moment of connection with a fan. Fans check their inbox after buying a jersey, track a package before game day, and verify their account when they sign up. These emails are the backbone of the fan experience.

The Fanatics Commerce engineering team built a modern, scalable email platform on Amazon Simple Email Service (Amazon SES), designed from the start for high deliverability, operational efficiency, and seasonal scale that comes with serving more than 100 million fans. When events like Super Bowl, NBA Finals, or World Series drive a surge in orders, the platform has to keep up without missing a beat.

This post walks through what drove the decision, the platform architecture, migration, the key engineering decisions, and what comes next for a large transactional email platform running on Amazon SES.

The case for change

As Fanatics Commerce grew, the engineering team saw an opportunity to elevate their email infrastructure by using Amazon SES capabilities purpose-built for operating at scale.

  1. Dedicated IP addresses for full reputation control. With dedicated IPs in Amazon SES, Fanatics Commerce could own their sending reputation entirely removing dependency on shared infrastructure and gaining direct control over deliverability outcomes.
  2. Granular traffic segmentation. Amazon SES offered the ability to treat transactional and marketing email as distinct, independently managed streams each with its own configuration sets, sending identities, and performance tuning rather than routing everything through a single pipeline.
  3. Real-time deliverability visibility. At the scale of millions of fans, the team needed domain-level insight into open rates, bounce rates, and complaint rates in real time. The built-in analytics and Virtual Deliverability Manager in Amazon SES gave them the detail to diagnose shifts quickly and act decisively.
  4. Domain-level isolation and authentication. SES enabled the team to assign dedicated subdomains and authentication policies (DKIM, SPF, DMARC) per email type ensuring high-priority transactional messages maintain protected, independent reputations.
  5. Operational automation at scale. IP warming, reputation monitoring, and sending pattern adjustments could be managed programmatically through SES rather than requiring manual intervention keeping pace with Fanatics Commerce’s volume growth.

The team recognized the opportunity to move beyond incremental fixes. Rather than continuing to adapt an existing system, they set out to build a purpose-built transactional email platform on AWS that addressed all of these needs from the ground up.

Why Fanatics Commerce chose Amazon SES

After evaluating their requirements against several email service providers, the Fanatics Commerce team chose Amazon SES for its combination of reputation control, native observability, and tight integration with their existing AWS infrastructure. Several capabilities stood out during their evaluation.

The priority was reputation control. SES supports dedicated IP pools with separate pools for high-priority transactional, account, and lower-priority traffic, ensuring noisy streams cannot contaminate critical flows.

Visibility was equally important. As Rajat Banerjee, Fanatics’ engineering leader, explains:

“SES emits detailed JSON events for every send, delivery, bounce, complaint, open, and click into S3, and we model that data directly in our warehouse. Tagging each event with order, site, and mailbox provider, plus the user agent SES captures on opens and clicks, lets us slice deliverability at the level we need to run at Fanatics Commerce scale. That granularity is what let us refine our NPS survey email, power order attribution reporting, and debug real production issues over the last few months.”

The team also valued owning the full delivery path, from provider through messaging queue, internal processing, and status store, with rendered email HTML stored in-house. This end-to-end visibility strengthens support and debugging workflows.

The migration scope is strictly transactional, service, and survey email with high but predictable baseline volume and large event-driven spikes. SES is purpose-built for this pattern, with configurable IP warm-up strategies and the flexibility to choose between standard and managed dedicated IPs.

Finally, SES integrates natively with AWS metrics, notifications, queues, and storage, allowing monitoring, alerting, and failure handling to follow the same patterns used elsewhere in the Fanatics stack.

“If SES works for Amazon at scale, I figured it would work for us. We had also seen SES handle our load before, during a failover from our primary provider on a shared IP setup. That gave us the confidence to commit early and design around it.”

Platform architecture

The Fanatics Commerce team designed their email platform with the same engineering rigor they apply to their commerce systems. The architecture reflects a technology first approach to email operations.

Figure 1 — Fanatics Commerce transactional email platform on Amazon SES

Application layer

The Fanatics application connects to Amazon SES through IAM role-based authentication, with no stored credentials anywhere in the pipeline. This approach simplified security management and eliminated credential rotation as an operational concern.

Managed dedicated IPs

Fanatics started with dedicated IPs and pivoted to managed dedicated to let SES handle IP warming and management. Managed IPs let Amazon SES handle reputation optimization automatically, adjusting sending patterns, warming new IPs, and responding to reputation signals without manual intervention. This was a deliberate engineering decision: the team wanted to invest their time building great fan experiences, not managing IP reputation.

“We started with standard dedicated IPs and managed warming ourselves. Reputation management at our scale became more challenging than we wanted to own, so on AWS architects’ recommendation we moved to managed dedicated IPs. We would rather have our engineers enhancing the fan experience than tuning IP reputation.”

Domain and subdomain strategy

The domain architecture reinforces sender reputation through isolation. Transactional email sends from a dedicated subdomain with its own DKIM signing, SPF records, and DMARC policy. This ensures mailbox providers evaluate transactional email reputation independently, protecting the deliverability of order confirmations and shipping notifications regardless of what other email streams do.

Multi-tenant email design

The team designed a multi-tenant architecture that separates email streams into distinct tenants with independent configuration sets, dedicated IPs, and domain strategies. Each tenant maintains its own reputation, its own IP warming schedule, and its own deliverability metrics. If one tenant has reputation challenges, that specific tenant will be paused without disrupting other tenants.

This isolation is a core design principle. Transactional email, the email fans depend on, runs in its own tenant with dedicated infrastructure. Commercial email operates in a separate tenant. The architecture ensures each stream scales independently and maintains its own deliverability profile.

Real-time observability

Amazon SES Virtual Deliverability Manager (VDM) gives the Fanatics Commerce team a real-time, centralized view of key deliverability metrics including open rates, bounce rates, and complaint rates at the tenant or configuration set level. With VDM, the team is able to spot deliverability shifts early, diagnose issues with confidence, and take action before fans ever notice a problem in their inbox.

Scaling with the seasons

Sports merchandise is inherently seasonal. The platform needed to handle volume swings, from baseline traffic to peak holiday and playoff demand, without degrading deliverability.

During the 2025 holiday season, the platform scaled sending volume by 48x in five months, from initial rollout to full peak capacity across Black Friday, Cyber Monday, and the holiday gifting season. The architecture handled this surge while preserving deliverability, demonstrating that the multi-tenant design and managed dedicated IPs absorb seasonal spikes while maintaining consistent inbox placement rates.

The team phased their rollout by email type and volume, monitored deliverability metrics at each stage, and adjusted sending patterns based on real time feedback from mailbox providers. As the volume scales rapidly, this methodical approach ensured deliverability remained high.

The partnership model

This platform succeeded because of the partnership between Fanatics Commerce and AWS. The engagement brought together an account team TAM, a Solutions Architect, and a Worldwide Specialist SA, each contributing a different perspective.

The TAM coordinated the engagement by connecting Fanatics Commerce engineering with AWS specialists and driving architecture reviews from initial planning through peak holiday season scale.

Rajat Banerjee, Senior Manager of Engineering at Fanatics Commerce, led this initiative end to end from platform design all the way through production rollout. He and his team designed the domain and subdomain strategy that protects sender reputation across brands and ran a phased migration that scaled sending volume to full peak capacity without any disruption to delivery. SES built real-time analytics and reporting pipelines that give team visibility into delivery rates, bounces, and engagement. That visibility transformed incident response and helped the team optimize sending behavior at scale.

This model, customer engineering plus a cross-functional AWS team, accelerated decisions and shortened the feedback loop between architecture questions and production answers. The team had direct access to SES product expertise whenever they needed it, which enabled them to make timely informed decisions.

What’s next

Tenant-level isolation within SES – Handling each tenant’s sending, reputation, and operational signals independently end to end.

Deep linking from transactional emails into the Fanatics mobile app so fans can tap a link in an order or shipping email and land directly on the right screen in the app instead of the web.

Conclusion

Fanatics Commerce set out to build an email platform that matches the speed and reliability fans expect from the brand. By choosing Amazon SES and investing in purpose-built architecture, multi-tenant isolation, managed dedicated IPs, domain-level reputation control, and real-time observability, the team eliminated the operational trade-offs that come with scaling large email systems.

The results speak for themselves: the platform scaled sending volume 48x in five months, maintained high inbox placement rates through peak holiday and playoff demand, and gave the engineering team the visibility to diagnose and resolve deliverability issues in minutes rather than days.

More importantly, this platform frees the Fanatics Commerce team to focus on what matters most, building great fan experiences rather than managing IP reputation and chasing deliverability problems. Every order confirmation that lands in a fan’s inbox on time is a moment of trust earned.

Whether you’re sending millions of emails or only beginning to outgrow your current setup, the patterns in this post apply at any scale. Start by identifying where your current email infrastructure makes you choose between deliverability and growth. Amazon SES is built so you don’t have to.

To learn more about Amazon SES, visit the Amazon SES product page. To explore the Fanatics Commerce AWS journey, read Migration at Scale: The Fanatics Commerce AWS Journey.


About the authors

Introducing Amazon Simple Email Service (SES) pricing plans

Post Syndicated from Advait Gomkale original https://aws.amazon.com/blogs/messaging-and-targeting/introducing-amazon-simple-email-service-ses-pricing-plans/

Businesses rely on email to deliver critical notifications, nurture customer relationships, and grow revenue. But their success depends on more than just sending the right message. It depends on emails getting delivered to the inbox and ultimately getting read. When emails land in spam or go unread, the business impact is real and measurable: missed engagement, eroded customer trust, and lost revenue.

Most email providers offer capabilities to help improve deliverability, including dedicated sending infrastructure, reputation monitoring, address validation, and inbox placement testing. But these capabilities are typically sold as individual add-ons, each priced separately. Reaching the inbox consistently shouldn’t require evaluating dozens of options independently.

That changes today with Amazon SES pricing plans. Pick a plan, and the right capabilities are already included at up to 22% less than purchasing them individually.

Amazon SES pricing plans

Amazon SES offers three plans: Essentials, Pro, and Enterprise. Each builds on the one before it, offering more capability, so you choose the one that fits your email needs.

Essentials

Get started with Amazon SES. Monitor how emails perform and get insights to help improve deliverability over time.

Send email reliably at scale and see what’s happening: which emails are landing, which are bouncing, and what needs attention. Essentials gives you the data and recommendations to guide your improvements, with the flexibility to upgrade to Pro as your deliverability needs grow.

Pro

Get higher deliverability with dedicated infrastructure and proactive reputation protection. Reach the inbox consistently as sending scales.

Pro shifts deliverability from reactive to proactive. With Pro, your sending runs on dedicated IPs, keeping your reputation isolated from other senders. Invalid addresses are caught before they bounce, and you see inbox placement across providers your domains send through, not just within SES. Pro helps you prevent problems, not just discover them after the fact.

Enterprise

Get the most out of Amazon SES. Reach the inbox reliably, stay resilient globally, and isolate sending reputation across workloads.

Everything in Pro, plus resilience that keeps email flowing if a region goes down, reputation isolation across separate workloads, and an annual deliverability assessment. This is the most comprehensive SES experience available.

For full pricing details and a complete feature comparison across all three plans, visit the Amazon SES Pricing page.

Getting started

Starting July 21, 2026, all new SES accounts begin on the Essentials plan. Returning customers who have not sent or processed email through SES since June 1, 2025 also begin on the Essentials plan. From there, you can upgrade to Pro or Enterprise, or switch to à-la-carte pricing at any time. Customers who have sent or processed email through SES on or after June 1, 2025 remain on à-la-carte pricing and can switch to a plan anytime.

If you are new to AWS, the AWS Free Tier provides up to $200 in credits during your first six months that you can apply toward Amazon SES pricing plans. As of July 21, 2026, the SES-specific free tier (3,000 email message charges per month for your first 12 months after first SES use) is no longer available for new customers. If you are currently on the SES-specific free tier, your benefits continue for the remainder of your 12-month period.

To get started, sign in to the Amazon SES console and navigate to the Pricing plan section. To learn more, visit the Amazon SES Pricing page or explore the Amazon SES documentation.


About the Authors

Isolate email suppression per tenant with Amazon SES

Post Syndicated from Brett Ezell original https://aws.amazon.com/blogs/messaging-and-targeting/isolate-email-suppression-per-tenant-with-amazon-ses/

If you operate a multi-tenant email platform on Amazon Simple Email Service (Amazon SES), you know that managing email reputation across your tenants is a constant balancing act. Until now, all tenants in an Amazon SES account shared a single account-level suppression list. Suppose an email from Tenant 1 to Recipient A results in a hard bounce or a spam complaint. Amazon SES then places Recipient A’s email address on the account-level suppression list. As a result, none of your other tenants can send email to Recipient A. The block applies even when they have a valid, opted-in relationship with that recipient.

Tenant-level suppression lists solve this by allowing you to isolate bounce and complaint data per tenant, which eliminates cross-tenant contamination. With tenant-level suppression enabled, Amazon SES maintains a separate suppression list per tenant. Bounces and complaints affect only the sending tenant’s list. Other tenants can still attempt delivery to the same recipients.

In this post, you learn about the business problem this feature solves, how the new suppression precedence works, and how to implement tenant-level suppression for your multi-tenant email platform.

Quick reference

Item Detail
Feature Tenant-level suppression lists
Primary API operation PutTenantSuppressionAttributes
Scope options TENANT (isolated), ACCOUNT (shared, default)
Suppressed reasons BOUNCE, COMPLAINT, or both
Prerequisites Multi-tenancy enabled, production access
Key behavior Amazon SES evaluates exactly one suppression list per SendEmail call
Precedence order Configuration Set → Tenant → Account
Automatic recording Bounces → tenant list + global list. Complaints → tenant list only
Backward compatible Yes — opt-in per tenant, existing behavior unchanged

The cross-tenant suppression contamination problem in Amazon SES

Consider the following scenario. Imagine you run a SaaS marketing automation platform called “AnyCompany-SaaS.” You use Amazon SES multi-tenancy to send email on behalf of your customers (your tenants). For this example, consider Tenant A (a fast-growing fitness brand) and Tenant B (a conservative financial services company).

One day, Tenant A runs an aggressive, poorly targeted email campaign. Recipient A reports the email as spam, and that email address ([email protected]) gets added to your Amazon SES account-level suppression list to protect your sender reputation.

The problem? Tenant B has a perfectly valid, opted-in relationship with [email protected] and needs to send her a critical financial receipt. Before tenant-level suppression became available, AnyCompany-SaaS relied on the Amazon SES shared account-level suppression list. In this scenario, when Tenant B attempts to send email to [email protected], Amazon SES accepts the message but does not send it. The address is suppressed for every tenant in the account. Tenant B loses access to a valid recipient simply because of their neighbor’s poor email hygiene.

This is cross-tenant suppression contamination, and it creates several downstream problems:

  • Unfair deliverability outcomes — One tenant’s poor list hygiene affects all other tenants.
  • Increased support burden — Tenants ask “why is my email being suppressed?” and you have no clear answer.
  • Eroded trust — Your customers (the tenants) lose confidence in your platform’s email delivery capabilities.
  • Scaling challenges — The more tenants you add, the worse the contamination problem becomes.

Before today, the only workarounds were managing separate Amazon SES accounts per tenant (operationally expensive), or building custom suppression logic in your application layer (complex and error-prone). With Amazon SES tenant-level suppression lists, this shared-fate scenario is a thing of the past.

What is new: Tenant-level suppression lists

Each tenant in your account can now maintain its own isolated suppression list. When a hard bounce or complaint occurs for a tenant, Amazon SES records the suppressed address only on that tenant’s list. It does not add the address to other tenants’ lists.

Here is what this means in practice:

  • Isolation — Tenant A’s bounces and complaints affect only Tenant A’s suppression list.
  • Autonomy — Each tenant owns its own deliverability without impact from neighboring tenants.
  • Automatic management — Amazon SES automatically records entries based on hard bounces and complaints, and removes entries when recipients submit not-spam feedback.
  • Backward compatibility — Existing account-level suppression continues to work unchanged. Tenant-level suppression is opt-in per tenant.

Who benefits from tenant-level suppression?

This feature is designed for any organization that uses Amazon SES multi-tenancy to send email on behalf of multiple entities. Common use cases include:

  • SaaS platforms — Send transactional or marketing email for multiple customers, each with isolated suppression.
  • Marketing automation providers — Manage campaigns for different clients without cross-client contamination.
  • Enterprise multi-brand organizations — A corporation with multiple brands (for example, separate product lines or regional divisions) that need suppression isolation between brands.
  • Digital agencies — Manage email programs for dozens of clients under one Amazon SES account.
  • ISVs and resellers — Independent software vendors offering email capabilities as part of their platform.

When to use tenant-level vs. account-level suppression

Scenario Recommended scope Why
Single-tenant account (one brand, one sender) ACCOUNT No isolation needed — account-level works fine
Multi-tenant SaaS sending on behalf of customers TENANT Prevents cross-tenant contamination
Enterprise with multiple business units TENANT Each BU owns its deliverability independently
Per-workflow control within a single tenant Configuration set override Granular suppression at sub-tenant level
Migrating from separate Amazon SES accounts per tenant TENANT Consolidate into one account with isolation preserved

How Amazon SES tenant-level suppression precedence works

When you start mixing account-level lists, configuration sets, and tenant-level lists, it is important to understand how Amazon SES determines which list to check before sending an email. Amazon SES evaluates suppression rules in the following hierarchy (resolving to exactly one list).

Amazon SES suppression precedence resolving to one list: configuration set, then tenant, then account

Configuring suppression scope and suppressed reasons

Tenant-level suppression is controlled by two settings that you configure together:

  1. Suppression scope — Determines which suppression list Amazon SES checks at send time:
    • TENANT — Use the tenant’s own suppression list.
    • ACCOUNT — Use the account-level suppression list (this is the default).
  2. Suppressed reasons — Determines which events cause Amazon SES to automatically add addresses to the suppression list:
    • BOUNCE — Add addresses that produce hard bounces.
    • COMPLAINT — Add addresses that produce complaints.
    • Both BOUNCE and COMPLAINT — Add addresses for either event.

You configure both settings together using the PutTenantSuppressionAttributes API operation or by specifying SuppressionAttributes when creating a new tenant with CreateTenant.

Suppression precedence order

Behavior: Amazon SES evaluates exactly one suppression list per SendEmail call. The precedence is: Configuration Set > Tenant > Account. It does not check multiple lists in sequence.

Amazon SES resolves suppression settings using the following precedence order:

  1. Configuration set overrides (highest priority) — If the email is sent using a configuration set with a defined SuppressionOptions scope, Amazon SES uses that setting first.
  2. Tenant-level settings — If no configuration set override exists, and the email includes a TenantName, Amazon SES checks the isolated suppression list for that specific tenant.
  3. Account-level defaults (lowest priority) — If neither the configuration set nor the tenant specifies suppression settings, Amazon SES uses account-level defaults.

Important: An address that is on the account-level suppression list but not on the tenant’s list will not be suppressed when the scope is TENANT. Conversely, an address on the tenant’s list will not affect sends when the scope resolves to ACCOUNT.

Automatic suppression recording behavior

When the suppression scope is TENANT, Amazon SES automatically manages entries:

  • Hard bounces — Amazon SES adds the address to the tenant’s suppression list and the global suppression list. Amazon SES does not add the address to the account-level suppression list.
  • Complaints — Amazon SES adds the address to the tenant’s suppression list only.
  • Not-spam feedback — When a recipient marks a previously reported message as not spam, Amazon SES automatically removes COMPLAINT-reason entries from the tenant’s suppression list.

Prerequisites

Before implementing tenant-level suppression, make sure you have the following:

Required resources:

  1. An AWS account with Amazon SES configured.
  2. Multi-tenancy enabled with at least one tenant in your Amazon SES account.
  3. AWS Command Line Interface (AWS CLI) version 2 installed and configured with appropriate permissions.
  4. Production access (required for PutSuppressedDestination operations — sandbox accounts cannot manually add suppression entries).

Knowledge prerequisites: You should be familiar with Amazon SES account-level suppression concepts and multi-tenancy configuration.

Minimal example: Enable and send with tenant suppression

The following is the shortest path to enabling tenant-level suppression and sending an email that uses it:

# 1. Enable tenant suppression (bounces + complaints)
aws sesv2 put-tenant-suppression-attributes \
    --tenant-name MyTenant \
    --suppression-scope TENANT \
    --suppressed-reasons BOUNCE COMPLAINT

# 2. Send email with tenant context — SES checks MyTenant's suppression list
aws sesv2 send-email \
    --from-email-address [email protected] \
    --destination '{"ToAddresses":["[email protected]"]}' \
    --content '{"Simple":{"Subject":{"Data":"Hello"},"Body":{"Text":{"Data":"Test message"}}}}' \
    --tenant-name MyTenant

# 3. Verify — list entries on the tenant's suppression list
aws sesv2 list-suppressed-destinations \
    --tenant-name MyTenant

Implementation walkthrough

Implementing tenant-level suppression requires configuring your tenants and updating your sending API calls. Here is how to get started using the AWS CLI.

Step 1: Enable tenant-level suppression for an existing tenant

First, you need to configure the suppression attributes for a specific tenant. In this example, you enable suppression for both bounces and complaints for MyTenant:

aws sesv2 put-tenant-suppression-attributes \
    --tenant-name MyTenant \
    --suppression-scope TENANT \
    --suppressed-reasons BOUNCE COMPLAINT

A successful request returns an HTTP 200 response with no body. Verify the configuration:

aws sesv2 get-tenant --tenant-name MyTenant

The response includes the suppression configuration:

{
    "Tenant": {
        "TenantName": "MyTenant",
        "TenantId": "tn-abc123def456",
        "SendingStatus": "ENABLED",
        "SuppressionAttributes": {
            "SuppressionScope": "TENANT",
            "SuppressedReasons": ["BOUNCE", "COMPLAINT"]
        }
    }
}

You can also configure suppression for a single reason type:

# Suppress bounces only
aws sesv2 put-tenant-suppression-attributes \
    --tenant-name MyTenant \
    --suppression-scope TENANT \
    --suppressed-reasons BOUNCE

# Suppress complaints only
aws sesv2 put-tenant-suppression-attributes \
    --tenant-name MyTenant \
    --suppression-scope TENANT \
    --suppressed-reasons COMPLAINT

Step 2: Create a new tenant with suppression enabled

If you are creating a new tenant, you can enable suppression from the start using the CreateTenant API operation:

aws sesv2 create-tenant \
    --tenant-name MyNewTenant \
    --suppression-attributes '{"SuppressionScope":"TENANT","SuppressedReasons":["BOUNCE","COMPLAINT"]}'

The response contains the new tenant’s ID:

{
    "TenantId": "tn-xyz789ghi012"
}

Step 3: Verify suppression is working

After configuring a tenant, verify that suppression entries are being recorded correctly. You can list entries on a tenant’s suppression list:

aws sesv2 list-suppressed-destinations \
    --tenant-name MyTenant

To check if a specific address is on a tenant’s suppression list:

aws sesv2 get-suppressed-destination \
    --email-address [email protected] \
    --tenant-name MyTenant

Step 4: Send email with tenant context

When sending email, include the TenantName parameter so that Amazon SES evaluates the correct suppression list:

aws sesv2 send-email \
    --from-email-address [email protected] \
    --destination '{"ToAddresses":["[email protected]"]}' \
    --content '{"Simple":{"Subject":{"Data":"Hello"},"Body":{"Text":{"Data":"Test message"}}}}' \
    --tenant-name MyTenant

Step 5: Manually manage suppression entries

You can manually add or remove entries from a tenant’s suppression list. This is useful for pre-loading known bad addresses or removing addresses that have been re-validated.

To add an entry:

aws sesv2 put-suppressed-destination \
    --email-address [email protected] \
    --reason BOUNCE \
    --tenant-name MyTenant

To remove an entry:

aws sesv2 delete-suppressed-destination \
    --email-address [email protected] \
    --tenant-name MyTenant

Advanced: Configuration set overrides for per-workflow suppression control

For scenarios where you need per-workflow suppression control within a tenant, you can override tenant suppression settings at the configuration set level:

aws sesv2 create-configuration-set \
    --configuration-set-name my-config-set \
    --suppression-options '{"SuppressionScope":"TENANT","SuppressedReasons":["BOUNCE"]}'

You can also update an existing configuration set:

aws sesv2 put-configuration-set-suppression-options \
    --configuration-set-name my-config-set \
    --suppression-scope TENANT \
    --suppressed-reasons BOUNCE

Key considerations

Keep the following points in mind as you implement tenant-level suppression:

  • Sandbox restrictions — You cannot call PutSuppressedDestination while your account is in the Amazon SES sandbox. Request production access first. Note that this restriction only applies to manually adding entries. Automatic suppression from bounces and complaints works in sandbox mode.
  • Entries persist — Disabling tenant-level suppression does not delete existing entries from the tenant’s suppression list. If you re-enable tenant-level suppression later, those entries are still active.
  • Fail-close behavior — If the tenant suppression service is unavailable, Amazon SES suppresses the message rather than allowing it through.
  • The “no tenant” fallback — If you enable tenant-level suppression across your architecture but inadvertently miss updating a legacy microservice, any SendEmail call made without a TenantName parameter automatically falls back to evaluating your shared account-level suppression list.
  • Migration strategy — We recommend a phased migration. Start by configuring tenant-level suppression for new tenants or low-volume tenants first. Monitor their isolated lists using the ListSuppressedDestinations API before updating the SendEmail calls for your highest-volume legacy tenants.

Check the Amazon SES Developer Guide for the latest supported actions and service quotas.

Disabling tenant-level suppression

If you need to return a tenant to account-level suppression, you have two options:

Option 1: Explicitly set the scope to ACCOUNT:

aws sesv2 put-tenant-suppression-attributes \
    --tenant-name MyTenant \
    --suppression-scope ACCOUNT \
    --suppressed-reasons BOUNCE COMPLAINT

Option 2: Clear all suppression settings:

aws sesv2 put-tenant-suppression-attributes \
    --tenant-name MyTenant

When you omit both --suppression-scope and --suppressed-reasons, Amazon SES clears the tenant’s suppression settings, and the tenant falls back to account-level suppression behavior.

Cleaning up

If you followed along with this walkthrough and want to remove the resources you created, take the following steps:

Important: Disabling tenant-level suppression does not delete existing suppression entries. If you plan to re-enable this feature later, be aware that previously suppressed addresses remain on the tenant’s list.

  1. Clear tenant suppression settings (returns the tenant to account-level behavior):
aws sesv2 put-tenant-suppression-attributes \
    --tenant-name MyTenant
  1. If you created a test tenant, delete it:
aws sesv2 delete-tenant --tenant-name MyNewTenant
  1. If you created a configuration set for testing, delete it:
aws sesv2 delete-configuration-set \
    --configuration-set-name my-config-set

FAQ

Q: Does tenant-level suppression replace account-level suppression?

A: No. Account-level suppression continues to work unchanged. Tenant-level suppression is opt-in. You enable it per tenant by setting the suppression scope to TENANT. Tenants without this configuration continue using the account-level suppression list.

Q: What happens if I send an email without a TenantName parameter after enabling tenant-level suppression?

A: The email falls back to account-level suppression evaluation. Amazon SES only checks a tenant’s isolated suppression list when the SendEmail call includes the TenantName parameter and that tenant has SuppressionScope set to TENANT.

Q: Are existing suppression entries deleted when I disable tenant-level suppression for a tenant?

A: No. Entries persist on the tenant’s suppression list. If you re-enable tenant-level suppression later, those entries become active again. To remove entries, you must explicitly call DeleteSuppressedDestination for each address.

Q: Can a single email address appear on both the account-level and a tenant-level suppression list?

A: Yes. The same address can exist on multiple lists. However, Amazon SES only checks the list that the resolved scope points to. If the scope is TENANT, only the tenant’s list is evaluated. The account-level list is not consulted.

Q: Does tenant-level suppression work in the Amazon SES sandbox?

A: Automatic suppression recording (from bounces and complaints) works in sandbox mode. However, you cannot manually add entries using PutSuppressedDestination until you request production access.

Q: How do I migrate from separate Amazon SES accounts per tenant to a single account with tenant-level suppression?

A: We recommend a phased approach: (1) Create tenants in your consolidated account, (2) Enable tenant-level suppression for each, (3) Export suppression entries from the old accounts using ListSuppressedDestinations, (4) Import them into the new tenant lists using PutSuppressedDestination, (5) Update your sending logic to include TenantName in all SendEmail calls.

Q: What is the maximum number of entries on a tenant’s suppression list?

A: Tenant-level suppression lists follow the same limits as account-level suppression lists. Check the Amazon SES quotas page for current limits.

Conclusion

Tenant-level suppression lists give ISVs, SaaS platforms, and large enterprises the granular control they need to manage email deliverability fairly and effectively. No more shared suppression lists causing cross-tenant contamination, and no more tenants losing access to valid recipients because of a neighbor’s email hygiene problems. Each tenant now owns their reputation data independently.

To get started:

  1. Using tenant-level suppression lists in Amazon SES.
  2. PutTenantSuppressionAttributes API reference.
  3. Using the Amazon SES account-level suppression list.

You can also configure and manage tenant-level suppression directly from the Amazon SES console.

If you have questions or feedback, reach out to us on AWS re:Post or through your AWS account team. We look forward to hearing how you are using tenant-level suppression to improve your multi-tenant email platform.


About the author

Getting started with Amazon SES Agent Skills for AI-assisted email development

Post Syndicated from Bruno Giorgini original https://aws.amazon.com/blogs/messaging-and-targeting/getting-started-with-amazon-ses-agent-skills-for-ai-assisted-email-development/

Building email infrastructure with Amazon Simple Email Service (SES) involves navigating identity verification, authentication protocols, configuration sets, bounce handling, and deliverability monitoring. Developers often spend time reading documentation and iterating on API calls before getting their first email sent correctly. AI coding agents can accelerate this process, but without domain-specific context, they frequently generate code using the legacy V1 API, skip authentication setup, or miss production requirements like tenant isolation.

Today, we are releasing Amazon SES Agent Skills, an open source set of agent skills that give AI coding agents the context they need to build email integrations correctly from the start. The skills work with Kiro, Claude Code, and any agent that supports the open Agent Skills format.

What are agent skills?

Agent skills are structured context packages that teach AI agents how to use a specific service correctly. Rather than relying on general training data (which may be outdated or incomplete), a skill provides the agent with validated patterns, common mistake avoidance, and step-by-step workflows for a specific domain.

When you install the Amazon SES agent skills, your AI agent gains access to:

  • The correct API version and SDK client to use (SES V2, not V1)
  • The required order of operations (verify identity before sending, create configuration set before going to production)
  • Production-ready patterns including tenant isolation, bounce handling, and email validation
  • Common mistakes and how to avoid them
  • Executable example scripts in Python, Node.js, and Java

Two skills, two use cases

Amazon SES has two distinct capabilities that use different API clients:

Skill Use case SDK client
aws-ses Sending email
(transactional, marketing, notifications)
sesv2
aws-mail-manager Receiving and processing inbound email
(routing, filtering, archiving, SMTP relay)
mailmanager

These are different APIs with different clients. A common mistake agents make without this context is mixing them up or using the legacy ses client for sending.

Installing the skills

Install both skills:

npx skills add amazon-ses/skills

Or install a specific skill:

npx skills add amazon-ses/skills --skill aws-ses
npx skills add amazon-ses/skills --skill aws-mail-manager

Once installed, the skill activates automatically when you ask your agent about email-related tasks.

What the agent experience looks like

After installing the aws-ses skill, ask your agent: “Help me send my first email with Amazon SES.”

Without the skill, an agent might generate code using the deprecated V1 API, skip identity verification, or omit a configuration set. With the skill, the agent follows the correct workflow:

  1. Verifies your identity is set up (domain or email address)
  2. Checks sandbox status and recommends simulator addresses for testing
  3. Creates a configuration set for event tracking
  4. Sets up a tenant for workload isolation
  5. Generates code using the V2 API with proper error handling

Here is an example of what the agent produces for a Python quickstart:

import boto3
from botocore.exceptions import ClientError

client = boto3.client('sesv2', region_name='us-east-1')

try:
    response = client.send_email(
        FromEmailAddress='[email protected]',
        Destination={'ToAddresses': ['[email protected]']},
        Content={
            'Simple': {
                'Subject': {'Data': 'Hello from Amazon SES'},
                'Body': {'Text': {'Data': 'This email was sent using Amazon SES V2 API.'}}
            }
        },
        ConfigurationSetName='my-config-set',
        TenantName='my-tenant'
    )
    print(f"Message sent: {response['MessageId']}")
except ClientError as e:
    print(f"Send failed: {e.response['Error']['Code']} - {e.response['Error']['Message']}")

The agent knows to use sesv2 (not ses), includes a configuration set for observability, uses a tenant for isolation, and sends to a simulator address for safe testing.

What the Mail Manager skill provides

For inbound email processing, the aws-mail-manager skill teaches the agent the core pipeline architecture:

Internet → Ingress Point → Traffic Policy → Rule Set → Action

The skill ensures the agent creates resources in the correct dependency order (traffic policy and rule set before ingress point), uses the correct condition syntax (union types with exactly one key per object), and waits for the ingress point to reach ACTIVE status before recommending DNS changes.

How the skills are structured

Each skill contains:

  • SKILL.md — The entry point that describes capabilities, common mistakes, and when to use the skill
  • references/ — Task-oriented guides for specific workflows (identity verification, configuration sets, tenant setup, troubleshooting)
  • scripts/ or examples/ — Executable code the agent can reference or adapt

The agent loads only the context relevant to your current task. Ask about sending email and it loads the sending guides. Ask about archiving inbound email and it loads the archive reference.

Prerequisites

To use the skills, you need:

  • An AI coding agent that supports the Agent Skills format (Kiro, Claude Code, or compatible tools)
  • An AWS account with Amazon SES access
  • AWS credentials configured (environment variables, shared credentials file, or IAM role)
  • The SDK for your language: Python (boto3), Node.js (@aws-sdk/client-sesv2), or Java (software.amazon.awssdk:sesv2)

Try it today

The Amazon SES Agent Skills are available now on GitHub:

Install the skills, ask your agent to help you send your first email, and see how structured context changes the development experience. If you find issues or want to contribute, open an issue or pull request on the repository.

Additional resources

Using Amazon Mail Manager SMTP to send email via Amazon Simple Email Service

Post Syndicated from Josephine Elea Schlage original https://aws.amazon.com/blogs/messaging-and-targeting/using-amazon-mail-manager-smtp-to-send-email-using-amazon-simple-email-service/

If you’re running applications or mail servers that need to send email over Simple Mail Transfer Protocol (SMTP), you may find that the classic Amazon Simple Email Service (Amazon SES) SMTP endpoint (email-smtp.<region>.amazonaws.com) is not available in every AWS Region.

This applies to some newer AWS Regions and partitions, including eusc-de-east-1 in the AWS European Sovereign Cloud (ESC). In these AWS Regions, services configured with a traditional SMTP hostname and credentials, such as Postfix relays, cannot use the classic SES SMTP integration pattern. Amazon SES Mail Manager provides an alternative: an authenticated SMTP ingress endpoint that accepts connections using a hostname, port, and credentials, just like any standard SMTP server.

In addition to SMTP connectivity, Mail Manager introduces a configurable email pipeline between acceptance and delivery. This pipeline gives you traffic filtering, message archiving, and rule-based routing that are not available with the classic SES SMTP endpoint.

In this post, you configure Amazon SES Mail Manager to send outbound email in a Region that does not offer the classic SES SMTP endpoint. This post uses eusc-de-east-1 (AWS European Sovereign Cloud) as an example, but the same steps apply to AWS Regions where Mail Manager is available and the classic SMTP endpoint is not. By the end, you have a working Mail Manager pipeline that can:

  • Control outbound email flow with traffic policies.
  • Archive outgoing messages for compliance.
  • Deliver messages to recipients through a managed SMTP pipeline.

This post walks through a practical setup in eusc-de-east-1 with step-by-step instructions for configuring each component.

Solution overview

In this walkthrough, you configure Amazon SES Mail Manager in eusc-de-east-1 with the following components:

  • Traffic policy: You create a traffic policy with a default action set to Deny. The policy includes two policy statements connected by an OR condition. Policy Statement 1 allows messages that use TLS protocol version 1.2 or higher. Policy Statement 2 allows messages where the recipient address ends with a specific domain, filtering outgoing mail to approved recipients only.
  • Rule set: You create a rule set containing a single rule with two actions that archive outgoing email and then deliver it to recipients.
  • Ingress endpoint: You create an authenticated Mail Manager ingress endpoint that receives, routes, and manages messages based on your configured traffic policy and rule set.

After setting up these components, you use sample Python code to send an email through the ingress endpoint. Optionally, you can integrate with Postfix for relay-based delivery. You also configure Amazon CloudWatch logging to monitor how each message flows through the pipeline. To verify functionality, you check the email archive to confirm that outgoing messages are stored and that the email is received in the intended inbox.

The following diagram shows the message flow: Application or Amazon Elastic Compute Cloud (Amazon EC2) instance → ingress endpoint → traffic policy (allow or deny) → rule set (archive, then send to internet) → recipient inbox.

Walkthrough

This walkthrough covers the prerequisites and the step-by-step setup. Before you create traffic policies and a rule set, you first set up email archiving and AWS Identity and Access Management (IAM) roles, which are needed when you create the traffic policies and rules.

Prerequisites

Before beginning, verify that you have completed domain verification in the eusc-de-east-1 (ESC) Region and moved out of the Amazon SES sandbox. Domain verification is a required first step that confirms your authority to send email through SES from your domain. In this tutorial, you use a sample Python program to send email programmatically through an ingress SMTP endpoint (ARecord). You can run this program on your local machine through the AWS Command Line Interface (AWS CLI).

  • An active AWS account in the AWS European Sovereign Cloud with access to the eusc-de-east-1 Region.
  • A domain to verify as a sending identity in Amazon SES.
  • The AWS CLI, installed and configured for eusc-de-east-1 (required for Amazon CloudWatch logging).
  • An AWS Secrets Manager secret to store ingress endpoint credentials.
  • (Optional) An Amazon Virtual Private Cloud (Amazon VPC) with at least two subnets and an Amazon EC2 instance, if you plan to configure VPC endpoint connectivity.
  • IAM permissions for Amazon SES, AWS Key Management Service (AWS KMS), AWS Secrets Manager, and CloudWatch for the user who is signed in to the AWS Management Console.

Step 1: Create and verify an identity

To create and verify a sending identity in Amazon SES:

  1. In the Amazon SES console, choose Configuration, and then select Identities.
  2. Create the identity (domain or email address). If you verify a domain identity, configure email authentication with Sender Policy Framework (SPF), DomainKeys Identified Mail (DKIM), and Domain-based Message Authentication and Reporting and Conformance (DMARC) to prevent email from being marked as spam or failing delivery. See the following guides:
    1. Authenticating Email with DKIM in Amazon SES.
    2. Authenticating Email with SPF in Amazon SES.
    3. Complying with DMARC authentication protocol in Amazon SES.

    If you verify an email address identity without also verifying the parent domain, your messages may be quarantined or rejected depending on the domain’s DMARC policy.

  3. Complete the verification process.

Note: For eusc-de-east-1, the Custom MAIL FROM Domain Name System (DNS) records use amazonses.eu instead of amazonses.com.

Step 2: Configure an email archive for compliance and retention

Create an email archive to store outgoing messages. You configure this archive as the first action in your rule. The archive serves as a repository for outgoing messages.

  1. In the Amazon SES console, choose Mail Manager, then Email Archiving.
  2. Under Manage archives, select Create archive.
    1. Enter a unique name in the Archive name field.
    2. (Optional) Select a retention period to override the default of 180 days (6 months).
    3. (Optional) Set up encryption by either entering your own AWS Key Management Service (AWS KMS) key in the AWS KMS key ARN field, or selecting Create new key.
  3. Choose Create archive.
  4. After it is created, this archive stores your email according to the rules you define in the next step.

Step 3: Create an IAM role permission policy for the send to internet rule action

Configure an IAM role that permits Mail Manager to send email to external domains. This role is referenced in the rule for the second action, “send to internet,” which delivers email to recipients.

  1. Go to the IAM console.
  2. Choose Roles, and then choose Create role.
  3. For trusted entity, select Custom trust policy and paste the following (replace XXXXXXXXXXX with your AWS EUSC account ID):
    {
      "Version": "2012-10-17",
      "Statement": [
        {
          "Sid": "Statement1",
          "Effect": "Allow",
          "Principal": {
            "Service": "ses.amazonaws.com"
          },
          "Action": "sts:AssumeRole",
          "Condition": {
            "StringEquals": {
              "aws:SourceAccount": "XXXXXXXXXXX"
            },
            "ArnLike": {
              "aws:SourceArn": "arn:aws-eusc:ses:eusc-de-east-1:XXXXXXXX:mailmanager-rule-set/*"
            }
          }
        }
      ]
    }

  4. Skip add permissions, name review, and create your role.
  5. Open your newly created role and select Add permissions.
  6. From the menu, choose Create inline policy.
  7. Select JSON in the policy editor and paste the following (replace example.com with your verified domain, XXXXXXXXXXX with your AWS account ID, and my-configuration-set with your configuration set name if applicable). This policy grants the necessary permissions to send email to recipients on the internet, which is used in rule 2 of your rule set.
    {
      "Version": "2012-10-17",
      "Statement": [
        {
          "Sid": "VisualEditor0",
          "Effect": "Allow",
          "Action": [
            "ses:SendEmail",
            "ses:SendRawEmail"
          ],
          "Resource": [
            "arn:aws-eusc:ses:eusc-de-east-1:XXXXXXXXXXX:identity/example.com",
            "arn:aws-eusc:ses:eusc-de-east-1:XXXXXXXXXXX:configuration-set/my-configuration-set"
          ],
          "Condition": {
            "StringEquals": {
              "ses:FromAddress": "example.com"
            }
          }
        }
      ]
    }

  8. Review and save the policy.

Your newly created role now has the custom trust policy in Trusted entities, and a customer-managed inline permission policy under Permissions.

Step 4: Create a traffic policy

Traffic policies act as security checkpoints for your email infrastructure. They control which messages can enter your system based on rules you define. To create a traffic policy that enforces security requirements for your email:

  1. Open the Amazon SES console.
  2. Go to Mail Manager and select Traffic policies.
  3. Choose Create traffic policy.
  4. Enter a unique name for your policy.
  5. Set Default action to Deny.
  6. In your traffic policy, select “add new policy statement.”
    1. For Allow or deny properties, select Allow.
    2. For Properties, select TLS protocol version.
    3. For Operator, select Minimum version or Is version.
    4. For Value, select TLS 1.2 (minimum) or TLS 1.3 (Is version).
  7. Now, add a second condition to the same policy statement to filter outgoing mail to *example.com domains:
    1. For Properties, select Recipient address.
    2. For Operator, select “Ends with” and for Value enter example.com.

    Configure your policy statements as you like.

  8. Choose Create traffic policy.

Traffic policies are evaluated in a specific sequence:

  1. Deny policy statements are evaluated in order. If any match, the email is immediately blocked and no further evaluation occurs.
  2. If no Deny statements match, all Allow policy statements are evaluated in order. Multiple statements within a policy are connected by OR logic. If any statement matches, the email is allowed.
  3. Within each individual policy statement, multiple conditions are connected by AND logic. Each condition must be true for the statement to match.
  4. If no policy statements match (neither Deny nor Allow), the default action of the traffic policy (either Allow or Deny) is applied.

This policy denies traffic by default and allows only messages that meet the TLS 1.2 minimum requirement and are addressed to approved recipient domains.

Default action: Deny by default. Email traffic is initially blocked unless explicitly allowed by the following policy statements.

Policy statement 1: Allows messages to be sent if the recipient’s address ends with *example.com AND meets the minimum TLS protocol version of TLS 1.2.

Step 5: Create a rule set

Rule sets define how your messages are processed after they pass through your traffic policy. In this example, the rule set establishes a sequential email processing workflow. First, you add the action for archiving outgoing messages, and then you add a second action to deliver messages to recipients.

To create a rule set:

  1. Open the Amazon SES console.
  2. Go to Mail Manager and select Rule sets.
  3. Choose Create rule set.
  4. Enter a unique name for your rule set.
  5. On the rule set’s overview page, select Edit, then select Create new rule.

Step 6: Create rules

In this step, you create rules within your rule set that define the actions performed on each email: archiving for compliance and delivering to recipients.

Email add-ons are optional: In your rule set, you can configure the Vade Advanced Email Security Add On for scanning or dropping messages, archiving for compliance, writing to Amazon Simple Storage Service (Amazon S3) for future analysis, and sending email out. Configure these rules accordingly. This guide covers email sending and archiving in the rule below.

  • Add conditions or exceptions as needed:
    • Select Add new condition to specify what messages the rule applies to.
    • Select EXCEPT in the case of and select Add new exception for exclusions.
  • Configure actions by choosing Add new action.
  • For multiple actions, use the up and down arrows to set the execution order.

Action 1: Archive outgoing email. Stores a copy of each outgoing email in a Mail Manager archive. Archived email can be searched and retrieved directly from the Amazon SES console under Email archiving, supporting compliance and audit requirements.

Action 2: Send to internet. Delivers the email to the intended recipient using Amazon SES.

After you create your rule set, add rules that define how email is processed. You create a rule set containing a single rule with two actions that execute in sequential order.

Follow these steps to create and configure your rules.

  1. In the created rule set’s overview page, select Edit, then choose Create new rule.
  2. In the Rule details sidebar, enter a unique name for your rule.
    1. In the rule details on the right side, select “add new action.”
    2. From the menu, choose “archive,” and choose the archive you created at Step 2.
    3. Then add another action: select “add new action” and from the menu, choose “Send to internet.”
    4. Choose the IAM role that you created in Step 3. This role grants SES Mail Manager access to your resource.
  3. When finished creating your rules, choose Save rule set to apply your changes.

Rule 1: Archive and send email to recipients

The rule processes messages that have successfully passed through the traffic policy. The archive action confirms that messages are archived and searchable. The send to internet action then forwards messages to their intended recipients, completing the email delivery workflow.

Step 7: Store password in AWS Secrets Manager for the ingress endpoint

Before you create an ingress endpoint, set up a password in AWS Secrets Manager and an AWS KMS customer managed key:

1. Create a customer managed key policy for your ingress endpoint.

  1. Open the AWS KMS console.
  2. Select Customer managed key (not AWS managed keys).
  3. Create the key.
  4. Define key administrative permissions.
  5. Define key usage permissions.
  6. In your key policy editor, when you review the key statements, paste the following (replace XXXXXXXXXXX with your AWS account ID):
    {
      "Sid": "Allow use of the key",
      "Effect": "Allow",
      "Principal": {
        "Service": "ses.amazonaws.com"
      },
      "Action": "kms:Decrypt",
      "Resource": "*",
      "Condition": {
        "StringEquals": {
          "aws:SourceAccount": "XXXXXXX",
          "kms:ViaService": "secretsmanager.eusc-de-east-1.amazonaws.com"
        },
        "ArnLike": {
          "aws:SourceArn": "arn:aws-eusc:ses:eusc-de-east-1:XXXXXXXX:mailmanager-ingress-point/*"
        }
      }
    }

2. Set up a password in AWS Secrets Manager.

  1. Go to the AWS Secrets Manager console and select Store a new secret.
  2. Choose Other type of secret.
  3. Enter password as the key and your chosen password as the value.
  4. For encryption key, choose the customer managed key you created above.
  5. Choose Next to proceed to Configure secret.
  6. Enter a secret name and choose Edit permissions, then update the resource policy (replace XXXXXXXXXXX with your AWS account ID).
    {
      "Version": "2012-10-17",
      "Id": "Id",
      "Statement": [
        {
          "Effect": "Allow",
          "Principal": {
            "Service": "ses.amazonaws.com"
          },
          "Action": "secretsmanager:GetSecretValue",
          "Resource": "*",
          "Condition": {
            "StringEquals": {
              "aws:SourceAccount": "XXXXXXXXXXX"
            },
            "ArnLike": {
              "aws:SourceArn": "arn:aws-eusc:ses:eusc-de-east-1:XXXXXXXXXXX:mailmanager-ingress-point/*"
            }
          }
        }
      ]
    }

  7. Choose Next, then create and store your secret.

Step 8: Create an authenticated ingress endpoint (ARecord)

Now that you have created your traffic policy and rule set and stored your credentials, you can create the ingress endpoint:

  1. In the Amazon SES console, choose Mail Manager and then select Ingress endpoints.
  2. Choose Create ingress endpoint.
  3. Configure your endpoint:
    1. For type, select authenticated, then select the Secret ARN you created in Secrets Manager.
    2. Choose the traffic policy you created earlier.
    3. Choose the rule set you created earlier.
    4. Configure Network Type: Public Network (Standard Setup). If you select Private Network, follow Step 9 first in a new tab.
    5. Enter a unique name for your endpoint.
  4. Choose Create ingress endpoint.

After your ingress endpoint is created, note the following details from the General details section:

  • Amazon Resource Name (ARN): arn:aws-eusc:ses:eusc-de-east-1:XXXXXXXXXXX:mailmanager-ingress-point/inp-XXXXX
  • Username: inp-XXXXXXXXXXX
  • Host: XXXXXXXXXXX.mail-manager-smtp.eusc-de-east-1.amazonaws.eu (ARecord)

You need these details when configuring your email client or application to send email through this endpoint.

Step 9: Configure VPC endpoint for SES Mail Manager (optional enhanced security)

A VPC endpoint allows your Postfix EC2 instance to reach Mail Manager privately, without sending traffic over the public internet. To use this option, create the VPC endpoint in the same VPC as your Postfix instance. Configure security group rules to allow traffic on port 587.

  • VPC: The VPC endpoint must be created in the same VPC where your Postfix EC2 instance resides.
  • Security groups:
    • Postfix EC2 SG: Outbound rule to VPC endpoint SG on port 587.
    • VPC endpoint SG: Inbound rule from Postfix EC2 SG on port 587.
  • Subnets: The VPC endpoint should be in subnets that are routable from your EC2 instance’s subnet.

Create a security group for the VPC endpoint:

  1. Open the Amazon VPC console.
  2. Select Security groups.
  3. Choose Create security group.
    1. Name: mail-manager-vpce-sg (example).
    2. VPC: Choose the VPC where your Postfix EC2 instance resides.
  4. Add an inbound rule:
    1. Type: Custom TCP.
    2. Port: 587 (or 25 if using port 25).
    3. Source: Security Group ID of your Postfix EC2 instance (or create a placeholder, update later).
  5. Choose Create security group. Note the Security Group ID for the next step.
  6. Choose Endpoints in the VPC console.
  7. Choose Create endpoint.
    1. Name: mailmanager-ingress-endpoint (example).
    2. For Service category, select AWS services.
    3. For Service Name, select com.amazonaws.eusc-de-east-1.mail-manager-smtp.auth.
    4. For VPC, choose the VPC where your Postfix server resides.
    5. Subnets: Select at least 2 (private) subnets (for high availability).
    6. Security Groups: Choose the security group you created.
  8. Choose Create Endpoint.

Wait for the endpoint status to become Available. After the endpoint status becomes Available, note the DNS name from the endpoint details. Use the regional (non-AZ-specific) DNS name for your Postfix relay configuration:

auth.mail-manager-smtp.eusc-de-east-1.on.amazonwebservices.eu

Step 10: Mail Manager logging (AWS CLI)

Now that you have created your Mail Manager resources, you can configure log delivery through the AWS CLI to track message flow from ingress endpoints through rule set processing. After it is configured, you can view these logs in CloudWatch Log Groups.

  1. Open your terminal (CLI).
  2. Log in to your AWS account using the following command:
    aws configure

  3. Create a CloudWatch Log Group:
    aws logs create-log-group \
        --log-group-name /aws/mailmanager/ruleset-logs \
        --region eusc-de-east-1

    Before you proceed, copy the log group ARN for the step Create the Delivery Destination.

  4. Create the Log Delivery Source:Add your rule set ID to the resource-arn parameter below. You can find the resource ARN for the rule set when you click on the rule set name under rule sets in the SES console.
    aws logs put-delivery-source \
        --name rs-default \
        --resource-arn arn:aws-eusc:ses:eusc-de-east-1:XXXXXX:mailmanager-ruleset/YOUR-RULESET-ID \
        --log-type APPLICATION_LOGS

  5. Create the Log Delivery Destination:Add your log group ARN to the destinationResourceArn parameter below:
    aws logs put-delivery-destination \
        --name mailmanager-destination \
        --output-format json \
        --delivery-destination-configuration '{"destinationResourceArn":"arn:aws-eusc:logs:eusc-de-east-1:XXXXXX:log-group:/aws/mailmanager/ruleset-logs:*"}'

    Copy the delivery destination ARN for the step below.

  6. Link Log Delivery Source to Log Delivery Destination (Create Delivery):
    aws logs create-delivery \
        --delivery-source-name rs-default \
        --delivery-destination-arn arn:aws-eusc:logs:eusc-de-east-1:XXXXXX:delivery-destination:mailmanager-destination

    Verification commands:

    aws logs describe-log-groups --region eusc-de-east-1
    aws logs describe-delivery-sources --region eusc-de-east-1
    aws logs describe-delivery-destinations --region eusc-de-east-1
    aws logs describe-deliveries --region eusc-de-east-1

  7. Send an email and view your logs for your rule set:
    1. Open the Amazon CloudWatch console.
    2. Select Log Groups in the sidebar navigation.
    3. Select the log group you would like to view logs for.
    4. Select the log you would like to view under Log Streams.

Example output of an email that was sent successfully:

{
  "resource_arn": "arn:aws-eusc:ses:eusc-de-east-1:account-id:mailmanager-rule-set/ruleset-id",
  "event_timestamp": 3456789876,
  "message_id": "message-id",
  "rule_set_name": "send",
  "rule_name": "sendtointernet",
  "rule_index": 1,
  "recipients_matched": "[\"[email protected]\"]",
  "action_metadata": {
    "action_name": "SEND",
    "action_index": 1,
    "action_status": "SUCCESS"
  }
}

Step 11: Send email using an ingress endpoint

Code example with Python:

import smtplib
import ssl

# Your ingress endpoint and port
smtp_server = "*****.eusc-de-east-1.amazonaws.eu"
# Or for VPC: "vpce-xxxxx.mail-manager-smtp.auth.eusc-de-east-1.vpce.amazonaws.eu"
smtp_port = 587

# Your SMTP credentials retrieved from Secrets Manager
username = "****"
password = "[REDACTED_PASSWORD]"

sender_email = "[email protected]"  # Your verified identity
receiver_email = "[email protected]"

# Properly formatted email message with headers
message = f"""From: Firstname Lastname <{sender_email}>
To: Firstname Lastname <{receiver_email}>
Subject: Test Email from Python

This email was sent via the Mail Manager ingress endpoint and delivered
to the recipient through the "Send to Internet" rule action.
"""

server = None
try:
    print(f"Connecting to {smtp_server}:{smtp_port}...")
    server = smtplib.SMTP(smtp_server, smtp_port)
    server.set_debuglevel(1)

    print("\nStarting TLS...")
    context = ssl.create_default_context()
    server.starttls(context=context)

    print("\nLogging in...")
    server.login(username, password)

    print("\nSending email...")
    server.sendmail(sender_email, receiver_email, message)
    print("\nEmail sent successfully.")
except Exception as e:
    print(f"\nError: {e}")
    import traceback
    traceback.print_exc()
finally:
    if server:
        server.quit()

Step 12: Integrate with your existing email server

Use Postfix or SMTP clients on Amazon EC2 to relay outbound email through Mail Manager, which then forwards it through the “Send to internet” action configured in Step 3.

If you choose to integrate with Postfix in this guide, your relay host is the ingress endpoint or the VPC endpoint you created. Your port is typically 587.

relayhost = [<ARecord>]:<port>

Example with Postfix

/etc/postfix/main.cf:

relayhost = [xxxx.eusc-de-east-1.amazonaws.eu]:587 or 25
relayhost = [vpce-xxxxx.mail-manager-smtp.auth.eusc-de-east-1.vpce.amazonaws.eu]:587

Clean up

Clean up your AWS environment by removing all resources created during this walkthrough, including Mail Manager configurations, ingress endpoints, rule sets, traffic policies, archives, IAM roles, Secrets Manager secrets, AWS KMS keys, and CloudWatch log groups.

Conclusion

In this post, you configured Amazon SES Mail Manager in the eusc-de-east-1 Region of the AWS European Sovereign Cloud to send outbound email over SMTP. You created a traffic policy to enforce TLS and recipient filtering, a rule set to archive and deliver messages, and an authenticated ingress endpoint that serves as a compatible SMTP relay for your applications.

To learn more, see the Amazon SES Mail Manager documentation, open the Amazon SES console to start configuring your own pipeline, or visit the Amazon SES service page for additional features.

Additional references

For more information, see the following references:


About the authors

Building a Scalable Messaging API with AWS End User Messaging and SES

Post Syndicated from Tyler Holmes original https://aws.amazon.com/blogs/messaging-and-targeting/building-a-scalable-messaging-api-with-aws-end-user-messaging-and-ses/

Modern applications often need to send notifications across multiple channels either through email and/or SMS. However, building a reliable messaging system that manages templates, handles failures gracefully, scales, and maintains security can be challenging. Following this guide, you’ll learn how to build a template manager and messaging API using API Gateway with JWT authentication for secure access, Amazon SQS for reliable message queuing, AWS Lambda for serverless processing, AWS End User Messaging for SMS, and Amazon Simple Email Service (SES) for email.

Architecture overview

You deploy a decoupled architecture that separates message ingestion from processing, providing resilience and scalability.

Fig. 1 Message Template Manager Architecture

Fig. 1 Message Template Manager Architecture

Architecture flow

  1. Client Application sends authenticated requests with JWT tokens
  2. API Gateway validates requests using a Lambda Authorizer
  3. Lambda Authorizer retrieves the JWT secret from AWS Secrets Manager and validates the token
  4. API Gateway sends validated messages to the SQS Queue
  5. Lambda Processor polls messages from SQS in batches
  6. Lambda Processor retrieves message templates from DynamoDB (if needed)
  7. Lambda Processor sends emails through Amazon SES and SMS through AWS End User Messaging
  8. Failed messages (after 3 retries) move to the Dead Letter Queue
  9. CloudWatch Alarm triggers when messages arrive in the DLQ

If a message fails processing after three attempts, it moves to a Dead Letter Queue (DLQ) where it’s preserved for 14 days, and a CloudWatch alarm notifies you of the failure.

Key features

With this architecture, you get several important capabilities:

  • JWT Authentication: Secure API access using JSON Web Tokens stored in AWS Secrets Manager
  • Automatic Retries: Failed messages retry up to three times before moving to the DLQ
  • Partial Batch Failures: Only failed messages retry, not the entire batch
  • Template Management: Store reusable message templates in Amazon DynamoDB
  • Multi-Channel Support: Send email through Amazon SES and SMS through AWS End User Messaging
  • Configuration Set Support: Track delivery metrics and route events with per-message or deployment-level configuration sets
  • Monitoring: CloudWatch alarms alert you when messages fail

Implementation details

1. API Gateway with JWT authorization

The API Gateway uses a Lambda authorizer to validate JWT tokens before allowing requests through:

def lambda_handler(event, context):
    token = event.get('authorizationToken', '').replace('Bearer ', '')
    try:
        # Retrieve secret from AWS Secrets Manager
        jwt_secret = get_jwt_secret()
        
        # Validate JWT token
        payload = jwt.decode(
            token,
            jwt_secret,
            algorithms=['HS256'],
            issuer='messaging-api'
        )
        
        # Generate IAM policy to allow request
        return generate_policy(payload.get('sub'), 'Allow', event['methodArn'])
    except jwt.ExpiredSignatureError:
        raise Exception('Unauthorized: Token expired')
    except jwt.InvalidTokenError:
        raise Exception('Unauthorized: Invalid token')

The JWT secret is stored securely in AWS Secrets Manager and cached in the Lambda execution environment for performance.

2. SQS queue configuration

The SAM template defines two queues with appropriate settings:

MessagesQueue:
  Type: AWS::SQS::Queue
  Properties:
    QueueName: MessagesQueue
    VisibilityTimeout: 300  # 5 minutes
    MessageRetentionPeriod: 345600  # 4 days
    RedrivePolicy:
      deadLetterTargetArn: !GetAtt MessagesDeadLetterQueue.Arn
      maxReceiveCount: 3

MessagesDeadLetterQueue:
  Type: AWS::SQS::Queue
  Properties:
    QueueName: MessagesDeadLetterQueue
    MessageRetentionPeriod: 1209600  # 14 days

The visibility timeout of 5 minutes prevents duplicate processing while giving the Lambda function enough time to complete. Messages that fail three times automatically move to the DLQ.

3. Lambda message processor

The Lambda function processes messages from SQS and sends them through the appropriate channel:

def lambda_handler(event, context):
    failed_messages = []
    
    for record in event['Records']:
        message_id = record['messageId']
        try:
            message = json.loads(record['body'])
            
            # Process email if configured
            if 'EmailMessage' in message:
                send_emails(message)
            
            # Process SMS if configured
            if 'SMSMessage' in message:
                send_sms_messages(message)
                
        except Exception as e:
            print(f"Error processing message {message_id}: {str(e)}")
            failed_messages.append({"itemIdentifier": message_id})
    
    # Return failed messages for automatic retry
    return {"batchItemFailures": failed_messages}

Configuration Sets for tracking and analytics:

Configuration Sets enable you to track delivery metrics, monitor costs, and route events to analytics pipelines. You can set defaults at deployment time and override them per-message:

  • Deployment-level defaults: Set SMSConfigurationSet parameter during deployment to apply to all messages
  • Per-message override: Include ConfigurationSetName in the SMSMessage payload to use different tracking for specific messages

This flexibility lets you separate analytics by message type, campaign, or priority without requiring redeployment.

4. Template management with DynamoDB

Message templates are stored in DynamoDB for reusability:

def get_email_template_from_dynamodb(template_name, substitutions):
    response = templates_table.get_item(Key={'TemplateName': template_name})
    
    if 'Item' not in response:
        return build_default_email(), "Account Alert"
    
    template_body = response['Item']['MessageBody']
    subject = response['Item'].get('Subject', 'Notification')
    
    # Replace {variable} placeholders with actual values
    rendered_body = replace_variables(template_body, substitutions)
    rendered_subject = replace_variables(subject, substitutions)
    
    return rendered_body, rendered_subject

You can update message content without redeploying code.

Template size considerations:

DynamoDB has a 400 KB limit per item, which includes all attribute names and values. For message templates, this means:

  • Typical email templates (5-20 KB) fit comfortably
  • SMS templates (< 1 KB) have no practical constraints

If you need to store templates larger than 400 KB, consider storing them in Amazon S3 and referencing the S3 object key in DynamoDB. This hybrid approach provides unlimited template size while maintaining fast lookups.

Prerequisites

Before deploying this solution, ensure you have the following:

  • AWS End User Messaging SMS configured with a phone pool or origination identity for SMS sending
  • Amazon SES configured with verified email identities (sender and recipient for sandbox mode)
  • IAM permissions to create Lambda functions, API Gateway, SQS queues, DynamoDB tables, and Secrets Manager secrets
  • Python 3.9 or later installed locally
  • AWS SAM CLI installed (version 1.0 or later)
  • AWS CLI installed and configured with your credentials
  • An active AWS account with appropriate permissions

Deployment

You use AWS SAM for infrastructure as code. Deploy with these commands:

sam build
sam deploy --guided

During deployment, you’ll set a JWT secret that’s stored in AWS Secrets Manager. Use a strong, random secret for production:

python -c "import secrets; print(secrets.token_urlsafe(32))"

Usage example

Once deployed, send messages by making authenticated API requests:

curl -X POST "https://your-api-endpoint/dev/" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_JWT_TOKEN" \
  -d '{
    "TraceId": "12345",
    "EmailMessage": {
      "FromAddress": "[email protected]",
      "Subject": "Low Balance Alert",
      "ConfigurationSetName": "email-analytics",
      "Substitutions": {
        "productName": "CHEQUING",
        "membershipNumber": "****5493",
        "accountBalance": "100.00"
      }
    },
    "SMSMessage": {
      "MessageType": "TRANSACTIONAL",
      "OriginationNumber": "your-pool-id",
      "TemplateName": "alert-template",
      "ConfigurationSetName": "sms-analytics"
    },
    "Addresses": {
      "[email protected]": {
        "ChannelType": "EMAIL"
      },
      "+16048621234": {
        "ChannelType": "SMS",
        "Substitutions": {
          "productName": "CHEQUING",
          "membershipNumber": "****7303",
          "accountBalance": "100.00"
        }
      }
    }
  }'

Using Configuration Sets:

The example above shows optional ConfigurationSetName parameters for both email and SMS. These enable:

  • Delivery tracking: Monitor delivery rates, failures, and bounce metrics
  • Cost monitoring: Track spending per campaign or message type
  • Event routing: Send delivery events to CloudWatch, Kinesis, or SNS for analytics
  • Segmented metrics: Separate analytics by use case, priority, or customer segment

If you don’t specify a ConfigurationSetName in the request, the system uses the deployment-level default (if configured).

Monitoring and operations

CloudWatch alarms

The solution includes a CloudWatch alarm that triggers when messages arrive in the DLQ:

DLQAlarm:
  Type: AWS::CloudWatch::Alarm
  Properties:
    AlarmName: !Sub ${AWS::StackName}-DLQ-Messages
    MetricName: ApproximateNumberOfMessagesVisible
    Namespace: AWS/SQS
    Statistic: Sum
    Period: 300
    EvaluationPeriods: 1
    Threshold: 1
    ComparisonOperator: GreaterThanOrEqualToThreshold

Handling failed messages

When messages fail, you can inspect them in the DLQ and redrive them back to the main queue after fixing the issue:

# Check DLQ depth
aws sqs get-queue-attributes \
  --queue-url YOUR_DLQ_URL \
  --attribute-names ApproximateNumberOfMessages

# Redrive messages from DLQ to main queue
aws sqs start-message-move-task \
  --source-arn YOUR_DLQ_ARN \
  --destination-arn YOUR_MAIN_QUEUE_ARN

Viewing logs

Lambda automatically logs to CloudWatch Logs:

aws logs tail /aws/lambda/MessageProcessor --follow

Cost considerations

For 1 million messages per month estimated costs are:

Service Usage Cost
API Gateway 1M requests $3.50
Amazon SQS 1M messages $0.40
AWS Lambda 1M invocations (128MB, 1s avg) $2.50
Amazon SES 1M emails $100.00
AWS End User Messaging SMS 1M SMS $ Varies based on destination

Note: The serverless architecture means you only pay for what you use, with no minimum fees or upfront costs.

Security best practices

This solution follows several security best practices:

  1. JWT Authentication: All API requests require valid JWT tokens
  2. Secrets Manager: JWT secrets are stored encrypted in AWS Secrets Manager
  3. IAM Least Privilege: Each Lambda function has only the permissions it needs
  4. HTTPS Only: API Gateway enforces HTTPS for all requests
  5. Token Caching: Authorization decisions are cached for 5 minutes to reduce latency

Clean up

To avoid incurring ongoing charges, delete the resources created by this solution when you no longer need them:

  1. If you configured AWS End User Messaging phone pools or origination identities for this solution, remove them from the End User Messaging console
  2. If you created Amazon SES email identities specifically for this solution, remove them from the SES console
  3. Verify that all resources (Lambda functions, API Gateway, SQS queues, DynamoDB table, Secrets Manager secret) have been removed in the AWS Management Console
  4. Delete the CloudFormation stack by running: sam delete --stack-name <your-stack-name>

Conclusion

With this architecture, you can build a production-ready messaging API using AWS serverless services. The decoupled design gives you resilience through automatic retries and dead letter queues, while the serverless approach eliminates infrastructure management and scales automatically.

The complete solution is deployable through AWS SAM and includes:

  • JWT authentication with AWS Secrets Manager
  • Multi-channel messaging (email and SMS)
  • Template management with DynamoDB
  • Configuration Set support for tracking and analytics
  • Comprehensive monitoring and alerting
  • Automatic retry and failure handling

You can extend this architecture by adding more channels (push notifications, webhooks), implementing message scheduling, or integrating with Amazon EventBridge for event-driven workflows.

Additional resources

The complete source code for this solution is available in the accompanying GitHub repository, including SAM templates, Lambda functions, and deployment scripts.


About the authors

How to improve email sender reputation with Amazon SES Email Validation

Post Syndicated from Zip Zieper original https://aws.amazon.com/blogs/messaging-and-targeting/how-to-improve-email-sender-reputation-with-amazon-ses-email-validation/

If you’re sending emails at scale with Amazon Simple Email Service (Amazon SES), maintaining high deliverability depends on more than the content you send. It’s about who receives those emails. Mailbox providers like Gmail, Yahoo, and Outlook assign reputation scores based on your sending practices, domain and IP authentication records, message quality, and recipient engagement. These providers use their own algorithms to decide whether your emails reach the inbox, are filtered as spam, or aren’t delivered at all. For more information about managing your email reputation, see The Four Pillars of Managing Email Reputation. In this post, we show you how the Amazon SES Email Validation feature can help you to protect your sender reputation.

The email bounce rate is the percentage of emails that fail to deliver and is one of the most critical factors affecting your sender reputation. Every bounce damages your sender reputation. Mailbox providers like Gmail and Outlook closely monitor bounce rates, and accounts that bounce over 5% trigger warnings. If your account bounce rate exceeds 10%, the email services providers might throttle, or completely block sending. For customers sending email at scale with Amazon SES, a high bounce rate may trigger immediate consequences: damaged sender reputation, blocked deliverability, and ISP penalties that can throttle or suspend your entire email program. Traditional approaches to email quality are reactive, because you will only discover problems after bounces have damaged your reputation. While account suppression lists protect against known problematic addresses, they can’t protect you from the normal decay of email address quality that occurs because of job changes, abandoned mailboxes, domain expirations, or bots and bad actors looking to damage your email reputation.

Use Amazon SES Email Validation to help you protect your sender reputation

Amazon SES Email Validation shifts bounce management from reactive to proactive, helping you detect problems before they damage your sender reputation. The feature provides two validation approaches: the Email Validation API for timely checks during registration and Auto Validation to automatically review all outbound email addresses before sending and only deliver messages to recipients that meet your selected validation threshold. Both methods are intended to catch problem addresses before they become bounces, helping to protect your sender reputation.

In this post, we guide you through implementing both validation approaches using AnyCompany—a fictitious ecommerce website—as our example. You will see how AnyCompany might use the Email Validation API for timely registration checks on address acquisition and Auto Validation at time of sending. You’ll learn how to protect your sender reputation proactively and integrate validation into existing workflows with minimal disruption. We also show you how to use Amazon CloudWatch metrics to improve email list health over time. After you’re done reading and experimenting, you’ll understand how Amazon SES Email Validation can help transform your email operations from reactive bounce management to proactive quality assurance.

Solution overview – how to use the Email Validation API to avoid ingesting invalid email addresses

You can use the Email Validation API to validate email addresses through synchronous API calls to check addresses at the point of collection. This method gives you immediate feedback about address validity and helps prevent invalid addresses from entering your database. You control when validation occurs and how to handle the results. The Email Validation API costs $0.01 per validation using the API or the AWS Management Console for Amazon SES. See Amazon SES pricing for details.

The Amazon SES console uses the Email Validation API to manually validate up to 10 email addresses at a time. The results are shown in the console—shown in the following screenshot—and you can export the results to a CSV file.

The Email Validate API can be used in your code or using the AWS Command Line Interface (AWS CLI) to validate individual email addresses through synchronous API calls. This method is well-suited for validating addresses at the point of collection—during user registration, subscription form submission, or during an email list import to help prevent invalid addresses from entering your database. The following is an example using the AWS CLI.

aws sesv2 get-email-address-insights \
    --email-address [email protected] \
    --region us-east-1

The API returns a response structure similar to the following example:

{
  "MailboxValidation": {
    "IsValid": {
      "ConfidenceVerdict": "HIGH"
    },
    "Evaluations": {
      "HasValidSyntax": {
        "ConfidenceVerdict": "HIGH"
      },
      "HasValidDnsRecords": {
        "ConfidenceVerdict": "MEDIUM"
      },
      "MailboxExists": {
        "ConfidenceVerdict": "MEDIUM"
      },
      "IsRoleAddress": {
        "ConfidenceVerdict": "LOW"
      },
      "IsDisposable": {
        "ConfidenceVerdict": "LOW"
      },
      "IsRandomInput": {
        "ConfidenceVerdict": "LOW"
      }
    }
  }
}

Understanding Email Validation API verdicts

For each email, the Email Validation API returns an overall validity confidence with three possible aggregate verdicts:

  • HIGH – The email address passed all critical validation checks and is highly likely to be deliverable. These addresses can be accepted without additional scrutiny.
  • MEDIUM – The email address passed basic validation but has characteristics that might affect deliverability (such as being a role address or having uncertain mailbox existence). Your use case and bounce risk tolerance should be used to determine whether to accept these addresses.
  • LOW – The email address failed one or more critical validation checks and is unlikely to be deliverable. Your use case and bounce risk tolerance will most likely cause you to reject these addresses.

To reach the overall validity confidence, the Email Validation API performs six detailed checks on each email address:

  • Syntax validation (HasValidSyntax) – Confirms the address follows RFC 5321 and RFC 5322 standards for email address formatting. This catches obvious errors such as missing @ symbols or invalid characters.
  • DNS verification (HasValidDnsRecords) – Validates that the domain exists and has proper mail exchange (MX) records and corresponding A records configured. This helps confirm that the domain can receive email.
  • Mailbox existence (MailboxExists) – Predicts whether the specific mailbox exists and can receive messages.
  • Role address detection (IsRoleAddress) – Identifies generic addresses like [email protected] or [email protected] that typically represent shared mailboxes rather than individual recipients.
  • Disposable email detection (IsDisposable) – Checks temporary email services like mailinator.com or guerrillamail.com that users often employ to avoid providing real contact information.
  • Random input detection (IsRandomInput) – Checks randomly generated patterns.

For more information about response values and data types, see the MailboxValidation data type in the Amazon SES API v2 reference.

The Email Validation API provides a dashboard in the Amazon SES console that you can use to view email address verification results over time, with the ability to look back for up to one month, as shown in the following screenshot.

Use auto validation to help prevent bounces when sending from Amazon SES

Amazon SES Auto Validation automatically performs comprehensive address validation through multiple checks such as syntax validation, DNS records, and others before each message is sent. When auto validation is enabled, Amazon SES will only deliver messages to recipients that meet your selected validation threshold. This helps you protect your sender reputation by preventing sends to addresses that have a high probability of being invalid or risky without requiring manual intervention or API integration. Auto Validation must be enabled separately for each AWS region in your account. For example, if you enable it in us-east-1, it will not be active in us-west-2 unless you explicitly enable it there as well. You can enable it at the account level for an entire region, or selectively within configuration sets. Auto validation costs $0.01 per 1,000 validations. Be aware that sends suppressed by Auto Validation count towards your daily send quota, and you will be charged the standard outgoing message fee for suppressed sends (in addition to the fee for auto validation). See Amazon SES pricing for more information.

When enabled at the AWS account level, you set the Validation threshold to determine which email addresses to suppress based on their validity confidence, as shown in the following screenshot.

  • Amazon SES managed threshold (recommended) – Amazon SES automatically manages the threshold to suppress invalid addresses based on your sending patterns and reputation. This option allows Amazon SES to optimize the validation threshold dynamically. Use this threshold when you want AWS to handle validation decisions based on your account’s specific characteristics.
  • Custom threshold –
    • High – Delivers emails only to addresses with high delivery likelihood. This provides maximum protection for your sender reputation but might suppress some legitimate addresses with medium delivery confidence. Use this threshold for critical transactional emails or when protecting sender reputation is your top priority.
    • Medium – Delivers emails to addresses with medium or high delivery likelihood. This balances reputation protection with delivery reach by allowing addresses with moderate deliverability scores. Use this threshold for marketing campaigns where you want to maximize reach while still filtering obviously invalid addresses.

You will usually find that using the recommended Amazon SES managed threshold works best for the bulk of your sending, however for certain use cases you might want to override the account setting and use a custom threshold in your configuration set. If you choose High or Medium thresholds instead of Amazon SES managed (as shown in the following screenshot), it’s important that you monitor your delivery metrics and validation results regularly.

Auto Validation applies to all outbound emails sent through your account. Addresses that don’t meet your threshold will be suppressed with the bounceSubType of EmailValidationSuppressed. Suppressed sends count towards your daily send quota, and you will be charged the standard outgoing message fee for suppressed sends in addition to the fee for auto validation.

{
  "Type": "Notification",
  "MessageId": "0ded6fd6-4e59-5ae0-9782-0e68faa886e7",
  "TopicArn": "arn:aws:sns:us-east-1:252640393490:ses-auto-validate",
  "Subject": "Amazon SES Email Event Notification",
  "Message": "{\"**eventType**\":\"**Bounce**\",\"bounce\":{\"feedbackId\":\"0100019b345a05a0-95e3062a-9594-499f-aafc-dc2dc9647cb6-000000\",\"**bounceType**\":\"**Permanent**\",\"**bounceSubType**\":\"**EmailValidationSuppressed**\",\"bouncedRecipients\":"
}

How AnyCompany might use the Email Validation API and auto validation

AnyCompany runs an ecommerce platform for both business and consumer office supplies. The company’s website hosts various web-forms for customers to create accounts and sign up to receive newsletters and discount offers. When they place orders through the platform, AnyCompany’s system sends order confirmations and delivery tracking emails. Today, when a new user registers through one of the web forms, AnyCompany sends a verification email to confirm the user’s email address, contact details, and opt-in to the company’s emails. If a user misspells their email address, they will never receive this verification email. Frustrated, they might move on to another provider. Similarly, if a bot or bad actor deliberately submits invalid addresses to the web form, verification emails will bounce. Both scenarios cost AnyCompany money with no return; at scale, a high bounce rate might cause email service providers to throttle or block future sends. AnyCompany previously investigated various third-party email validation services, but the engineering work, security reviews, and costs outweighed the expected benefits. This necessitated the cloud team’s constant and careful vigilance over the company’s bounce rate and reputation, diverting resources that the company would prefer to deploy elsewhere. As an ecommerce company, AnyCompany needs to be highly protective of its sender reputation. With email validation now built directly into Amazon SES, AnyCompany can bypass the complexity and cost of third-party tools and directly benefit from proactive bounce prevention across all email use cases. In the following section, we guide you through the simple steps AnyCompany might take to implement Amazon SES Email Validation.

Prerequisites

Before implementing Email Validation, you’ll need:

AWS account :

  • An AWS account with Amazon SES enabled in your desired AWS Region
  • AWS CLI version 2.0 or later installed and configured

Required IAM permissions:

Your IAM user or role needs the following permissions to configure Email Validation:

  • ses:PutAccountSuppressionAttributes – To enable and configure Email Validation at the account level
  • ses:GetAccount to verify Email Validation configuration
  • ses:CreateConfigurationSet when creating a new configuration set
  • ses:PutConfigurationSetSuppressionOptionsto override validation settings for specific configuration sets
  • ses:GetEmailAddressInsights to call the Email Validation API
  • iam:CreateServiceLinkedRole  creates an IAM service-linked role that is used by Amazon SES to publish CloudWatch metrics
  • cloudwatch:GetMetricStatistics – To retrieve validation metrics

Development environment:

  • Familiarity with AWS CLI commands and JSON configuration files
  • For API integration, SDK support for Amazon SES API v2 in your preferred programming language
  • Access to your application’s user registration code

Existing Amazon SES configuration:

  • At least one verified email address or domain in Amazon SES

While the Email Validation API works with an AWS account that is in the Amazon SES sandbox, auto validation is best demonstrated after your AWS account has been granted production access.

  • (Optional) Configuration sets created for different email types (transactional, marketing, and so on)

Validating email addresses at acquisition with the Email Validation API

To prevent bad addresses from entering their customer database at time of acquisition, AnyCompany will integrate the Email Validation API directly into their registration form. When a user submits their contact details, including email address, the Email Validation API is used. Results arrive within 100 milliseconds, with the overall validity confidence and six detailed checks of the email address. AnyCompany will then use the results and custom business logic they designed for their different use cases. For example, for their B2B business, they might allow registrations with high overall confidences and a role address, such as [email protected]. For the consumer business, they might accept registrations with medium overall confidences, but always reject emails that the API identifies as disposable, such as [email protected] or random, such as [email protected].

Sample code snippets

The code snippets in this section are examples only and are not intended for production use.

Step 1: Validate email address on form submission

When a user submits the registration form, AnyCompany’s application calls the Email Validation API before creating the account:

import boto3

ses_client = boto3.client('sesv2', region_name='us-east-1')

def validate_registration_email(email_address):
    try:
        response = ses_client.get_email_address_insights(
            EmailAddress=email_address
        )
        return response
    except Exception as e:
        # Handle API errors gracefully
        print(f"Validation error: {e}")
        return None

Step 2: Apply business rules based on verdict

AnyCompany’s business logic handles different validation outcomes:

def should_accept_email(validation_response, registration_type):
    if not validation_response:
        # API error - accept email but flag for manual review
        return True, "accepted_with_warning"

    overall_verdict = validation_response['MailboxValidation']['IsValid']['ConfidenceVerdict']
    checks = validation_response['MailboxValidation']['Evaluations']

    # Always reject FAIL verdicts
    if overall_verdict == 'LOW':
        return False, "rejected_invalid"

    # Always accept PASS verdicts
    if overall_verdict == 'HIGH':
        return True, "accepted"

    # Handle NEUTRAL verdicts based on registration type
    if overall_verdict == 'MEDIUM':
        # Reject disposable emails for all registration types
        if checks['IsDisposable']['ConfidenceVerdict'] == 'HIGH':
            return False, "rejected_disposable"

        # Accept role addresses for B2B, reject for consumer
        if checks['IsRoleAddress']['ConfidenceVerdict'] == 'HIGH':
            if registration_type == 'b2b':
                return True, "accepted_role_address"
            else:
                return False, "rejected_role_address"

        # Accept other NEUTRAL cases with warning
        return True, "accepted_with_warning"

Step 3: Provide user-friendly error messages

When validation fails, AnyCompany provides specific, actionable feedback (you can add more conditions based on your requirements):

def get_user_error_message(validation_response):
    checks = validation_response['Evaluations']

    if checks['HasValidSyntax']['ConfidenceVerdict'] == 'LOW':
        return "Please check your email address for typos. It appears to have formatting errors."

    if checks['HasValidDnsRecords']['ConfidenceVerdict'] == 'LOW':
        return "The domain in your email address doesn't appear to exist. Please verify you entered it correctly."

    if checks['IsDisposable']['ConfidenceVerdict'] == 'HIGH':
        return "Temporary email addresses are not accepted. Please use a different email address."

    if checks['IsRoleAddress']['ConfidenceVerdict'] == 'HIGH':
        return "Please use a personal email address rather than a shared mailbox like support@ or admin@."

    return "We couldn't verify this email address. Please check for typos and try again."

Step 4: Suggest corrections for common mistakes

For addresses that fail DNS validation, AnyCompany suggests common corrections to popular domain typos.

def suggest_email_correction(email_address):
    common_domains = {
        'gmial.com': 'gmail.com',
        'gmai.com': 'gmail.com',
        'yahooo.com': 'yahoo.com',
        'hotmial.com': 'hotmail.com',
        'outlok.com': 'outlook.com'
    }

    # Extract domain from email
    if '@' in email_address:
        local, domain = email_address.split('@', 1)

        # Check for common misspellings
        if domain.lower() in common_domains:
            suggested_domain = common_domains[domain.lower()]
            return f"{local}@{suggested_domain}"

    return None

Key benefits of the Email Validation API

The Email Validation API provide proactive quality control by preventing invalid addresses from entering AnyCompany’s database, preventing the reputation damage that occurs when they send to addresses that bounce.

  • Immediate user feedback – Because validation results return within milliseconds, AnyCompany can provide real-time feedback during registration without impacting user experience.
  • Flexible policy enforcement – AnyCompany can use individual check results to define custom validation policies that match their various business requirements, accepting or rejecting addresses based on use case-specific risk tolerance.
  • Cost-effective validation – AnyCompany pays only for the addresses they validate, with no infrastructure to provision or manage and no license fees. Preventing a single bounce might save more than the cost of validation.

By integrating the Email Validation API into their registration workflow, AnyCompany can transform their approach from reactive bounce management to proactive quality assurance. Invalid addresses are prevented from entering their database, legitimate customers receive verification emails reliably, and their sender reputation remains protected with little to no ongoing effort.

Set up a CloudWatch alarm for high rates of LOW verdicts

You can configure CloudWatch alarms to notify you when validation patterns indicate a consistently high rate of LOW verdicts. This might indicate malicious bots attempting to sign up through a web-form or other mechanism.

The following example creates a CloudWatch alarm that fires when the rate of LOW verdicts exceeds 20%.

aws cloudwatch put-metric-alarm \
  --region us-east-1 \
  --alarm-name "EmailInsights-LOW-Rate-Above-20-Percent" \
  --alarm-description "Alarm when LOW confidence verdict rate exceeds 20%" \
  --comparison-operator GreaterThanThreshold \
  --threshold 20 \
  --evaluation-periods 2 \
  --treat-missing-data notBreaching \
  --metrics '[
    {
      "Id": "low",
      "MetricStat": {
        "Metric": {
          "MetricName": "EmailAddressInsights.ConfidenceVerdict.LOW",
          "Namespace": "AWS/SES"
        },
        "Period": 300,
        "Stat": "Sum"
      },
      "ReturnData": false
    },
    {
      "Id": "medium",
      "MetricStat": {
        "Metric": {
          "MetricName": "EmailAddressInsights.ConfidenceVerdict.MEDIUM",
          "Namespace": "AWS/SES"
        },
        "Period": 300,
        "Stat": "Sum"
      },
      "ReturnData": false
    },
    {
      "Id": "high",
      "MetricStat": {
        "Metric": {
          "MetricName": "EmailAddressInsights.ConfidenceVerdict.HIGH",
          "Namespace": "AWS/SES"
        },
        "Period": 300,
        "Stat": "Sum"
      },
      "ReturnData": false
    },
    {
      "Id": "e1",
      "Expression": "IF((low+medium+high)>0, low/(low+medium+high)*100, 0)",
      "Label": "LOW Rate Percentage",
      "ReturnData": true
    }
  ]'

How AnyCompany uses validation metrics

AnyCompany monitors their Email Validation dashboard in the Amazon SES console to track list quality trends. For example, if they notice an increase in disposable email failures, they can add additional client-side validation to their registration forms to discourage this behavior. When Auto Validation blocks a spike of invalid addresses from a specific partner marketing campaign, they avoid the problems associated with a spike in bounces while being better informed when investigating the list source and removing or cleaning it for future campaigns.

Validating email addresses at send time with Auto Validation

AnyCompany has been operating its online platform for many years without a way to validate email addresses. The company also makes frequent acquisitions and partnerships that regularly introduce new email addresses into their sending. This means that no matter how well the new registration for with the Email Validation API performs, they will always have some invalid email addresses in their outbound sends.

This is one of the scenarios that can be addressed with no code or process changes by using Auto Validation. When enabled at the AWS account level, Auto Validation checks each address before sending, automatically suppressing the send of invalid addresses, adding those addresses to the account suppression list, and generating bounce notification events. These bounce events appear in Amazon SES event publishing and can be monitored using Amazon CloudWatch, Amazon Simple Notification Service (Amazon SNS), or Amazon EventBridge or written to an Amazon Simple Storage Service (Amazon S3) bucket. Auto Validation bounce events appear as:

  • Bounce type: Permanent for addresses that will never be deliverable
  • Bounce subtype: EmailValidationSuppressed indicating Auto Validation blocked the send

Because it’s implemented in Amazon SES events, AnyCompany can handle address validation failures the same way they currently handle actual bounces from mailbox providers, maintaining consistency in their email processing workflows.

Conclusion

Amazon SES Email Validation addresses critical needs for organizations sending email at scale: preventing invalid addresses at registration and automatically filtering risky recipients before sending. The feature’s two complementary approaches—the Email Validation API for real-time checks and Auto Validation for automatic send-time filtering—give you flexibility to implement validation where it makes the most sense for your workflows.

Use the Email Validation API to:

  • Validate at point of collection (registration, imports)
  • Receive immediate user feedback
  • Build custom validation workflows
  • Validate before database entry
  • Validate up to 10 addresses

Use Auto Validation to:

  • Automatically protect ongoing campaigns automatically
  • Avoid code changes to sending logic
  • Provide consistent quality across all sends
  • Set organization-wide quality standards

By implementing both features of Amazon SES Email Validation, you can better protect your sender reputation by proactively preventing bounces, reducing the possibility of high bounce rates that can damage your deliverability.

Next steps

Start improving your email deliverability today:

  1. Enable Email Validation in your AWS account using the Amazon SES console or the AWS CLI
  2. Implement API validation at your registration points to improve data quality from the start
  3. Configure Auto Validation policies to protect your sender reputation across all campaigns
  4. Set up CloudWatch dashboards to track validation performance and identify list quality trends
  5. Review validation metrics weekly to refine your validation policies based on actual patterns

For more information about Amazon SES Email Validation, see the Amazon SES Developer Guide.


About the authors

Enhance email security using VPC endpoints with Amazon SES Manager

Post Syndicated from Gabrielle Zhou original https://aws.amazon.com/blogs/messaging-and-targeting/enhance-email-security-using-vpc-endpoints-with-amazon-ses-manager/

Organizations managing on-premises email infrastructure face a critical challenge: how to modernize email systems while maintaining strict security and compliance standards. For healthcare providers, financial institutions, and government agencies, email messages often contain sensitive data that must remain on private networks throughout processing.

The virtual private cloud (VPC) endpoint feature of Amazon Simple Email Service (Amazon SES) Mail Manager addresses this challenge by enabling SMTP messages to remain on your private network throughout processing, routing, and compliance logging before final delivery. This post walks you through implementing this solution to securely modernize your email infrastructure.

Consider this scenario: You’re responsible for a healthcare organization’s email infrastructure that processes thousands of patient communications daily. Your on-premises Exchange servers are aging, maintenance costs are climbing, and your organization is moving workloads to AWS. Your security team requires that email processing for sensitive patient communications—including workflow processing, temporary storage, rule-based routing, and compliance logging—remain within private, controlled networks until ready for final delivery. The Amazon SES Mail Manager VPC endpoint feature addresses this requirement by maintaining network-level isolation for email operations from generation through processing, minimizing data exposure, meeting compliance requirements, and providing defense-in-depth security before final message delivery.

This post demonstrates how to implement VPC endpoints with Amazon SES Mail Manager using exercises from the Amazon SES Mail Manager workshop. We show how to configure VPC endpoints, security groups, and ingress endpoints to maintain private network connectivity for your email processing workflows.

Solution overview

Our approach combines AWS services to create a secure, private email infrastructure:

This solution requires your applications to run within a VPC or have established connectivity between your on-premises network and Amazon VPC through AWS Direct Connect or VPN. For guidance on connecting on-premises networks to AWS, refer to Hybrid network connections.

The following diagram illustrates the solution architecture.

The workflow consists of the following steps:

  1. Amazon Elastic Compute Cloud (Amazon EC2) instances running the sender email application on subnet 10.0.0.0/18 connect to the Amazon SES Mail Manager ingress endpoint through a VPC endpoint.
  2. Sender credentials are retrieved securely from Secrets Manager.
  3. AWS KMS decrypts credentials using your managed encryption keys.
  4. Authenticated email traffic flows securely to SES Amazon SES Mail Manager.

Prerequisites

Before beginning your migration, ensure you have the following:

  • AWS account – Use an AWS account with appropriate permissions for creating and managing a VPC, Secrets Manager, AWS KMS, and Amazon SES. Make sure AWS Identity and Access Management (IAM) policies follow least privilege principles.
  • Existing VPC infrastructure – Use a VPC that hosts your applications in the same AWS account and AWS Region as Amazon SES. For more information, see Plan your VPC.
  • Amazon SES configured – Configure Amazon SES in the same Region and AWS account.
  • Network connectivity – Deploy application servers either on premises with network connectivity to your VPC using Direct Connect or VPN, or already running within the VPC.

For this example, we use Linux SMTP commands from an EC2 instance in the VPC to connect to the Amazon SES Mail Manager ingress endpoint through a VPC endpoint on port 587.

Create traffic policy

Create an Amazon SES Mail Manager traffic policy to filter incoming messages by a combination of recipient address, sender IP address range, and TLS protocol version (1.2 or 1.3). For more details about Amazon SES Mail Manager traffic policies, refer to Traffic policies and policy statements. In this example, we use a traffic policy with minimum TLS version of 1.2.

Complete the following steps:

  1. Open the Amazon SES console in the target Region.
  2. In the navigation pane, under SES Mail Manager, choose Traffic policies.
  3. Choose Create traffic policy.
  4. For Policy name, enter a descriptive name, such as first-traffic-policy.
  5. For Default action, choose Deny.
  6. Choose Add new policy statement.
  7. For Allow or deny properties, choose Allow.
  8. For Properties, choose TLS protocol version.
  9. For Operator, choose Minimum version.
  10. For Value, choose TLS 1.2.
  11. Choose Create traffic policy.

Create rule set

Rule sets are containers for an ordered set of rules that determine how the messages are processed. For more information, see Rule sets and rules. In this example, we use the archive rule to archive all emails processed by Amazon SES Mail Manager.

Complete the following steps:

  1. On the Amazon SES console, under Amazon SES Mail Manager in the navigation pane, choose Rule sets.
  2. Choose Create rule set.
  3. Name the rule (for example, first-rule-set) and choose Create rule set.
  4. Choose Create new rule, then choose Create new rule again.
  5. Under Rule settings, name the rule (for example, archive_all).
  6. Under Actions, choose Add new action.
  7. Chose Archive.
  8. Choose Create archive.
  9. Give the archive a name, such as archive_all.
  10. Set a retention period (3 months for testing).
  11. Choose Create archive.

  1. For Archive resource name, choose archive_all.
  2. Choose Save rule set.

Create security group

Complete the following steps to create a security group:

  1. On the Amazon VPC console, under Security in the navigation pane, choose Security groups.
  2. Choose Create security group.
  3. For Security group name, provide a name that uniquely identifies the security group. For this example, we name the security group my-sg-mail-manager.
  4. For Description, describe the purpose of this security group.
  5. For VPC, choose the VPC that hosts your applications.
  6. For Inbound rules, choose Add rule.
  7. For Type, choose SMTP.
  8. For Source, enter the IP range of your private subnet.
  9. Choose Add rule again.
  10. For Port range, enter 587 and the IP range of your private subnet.
  11. Choose Create security group.

Create VPC endpoint

VPC endpoints make it possible to keep your email traffic within your private AWS network. Complete the following steps to create a VPC endpoint:

  1. Open the Amazon VPC console in the target Region.
  2. Under PrivateLink and Lattice in the navigation pane, choose Endpoints.
  3. Choose Create endpoint.
  4. For Name tag, enter an optional tag, such as mm-vpce-auth-ingress-endpoint.
  5. Select AWS services.
  6. For Services, enter mail-manager to search for Amazon SES Mail Manager VPC endpoints.
  7. Select com.amazonaws.us-east-1.mail-manager-smtp.auth.fips.

  1. For VPC, choose the VPC that hosts your applications.
  2. For DNS name, select Enable DNS name
  3. For DNS record IP type, select IPv4.
  4. Under Subnets, select all Availability Zones and choose the subnet ID for each subnet.
  5. For IP type, select IPv4.

  1. For Security groups, select the group my-sg-mail-manager.
  2. Choose Create endpoint.

Create ingress endpoint

Complete the following steps to create an authenticated ingress endpoint using Secrets Manager and AWS KMS:

  1. On the Amazon SES console, under Amazon SES Mail Manager in the navigation pane, choose Ingress endpoints.
  2. Choose Create ingress endpoint.
  3. For Ingress endpoint name, enter a unique name for the ingress endpoint. For this example, we use my-authenticated-ingress-endpoint.
  4. For Type, choose Authenticated.
  5. For Authentication type, choose Secret.
  6. Choose Create new, which will open a new tab.
  7. For Secret type, choose Other type of secret.
  8. Under Key/value pairs, enter password as the key (anything else will cause authentication to fail), then enter a password as the value.
  9. For Encryption Key, choose Add new key, which will open a new tab.
  10. Choose Create key.
  11. Keep the default values for Key type and Key usage and choose Next.

  1. For Alias, enter a unique name for your custom managed key. For this example, we use my-mail-manager-key.
  2. For Description, describe the purpose of the key.
  3. Choose Next.

  1. For Key administrators, choose any users (other than yourself) or roles you want to permit to administer the key, then choose Next.
  2. For Key users, choose any users (other than yourself) or roles you want to permit to use the key, then choose Next.
  3. For Key policy, choose Edit, then enter the following KMS key policy into the key policy JSON text editor at the "statement" level by adding it as an additional statement separated by a comma. Replace the Region and account number with your own.
{
    "Effect": "Allow",
    "Principal": {
        "Service": "ses.amazonaws.com"
    },
    "Action": "kms:Decrypt",
    "Resource": "*",
    "Condition": {
        "StringEquals": {
           "kms:ViaService": "secretsmanager.us-east-1.amazonaws.com",
            "aws:SourceAccount": "000000000000"
        },
        "ArnLike": {
            "aws:SourceArn": "arn:aws:ses:us-east-1:000000000000:mailmanager-ingress-point/*"
        }
    }
}
  1. Choose Next.
  2. Review and choose Finish.
  3. Switch to the Secrets Manager tab and choose the refresh icon.
  4. Choose the KMS key you just created, then choose Next.

  1. For Secret name, provide a unique name for the secret. For this example, we use my-mail-manager-secret.
  2. For Description, describe the purpose for the secret.
  3. For Resource permissions, replace the example JSON code in the editor with the following policy. Replace the Region and the account number with your own.
{
    "Version": "2012-10-17",
    "Id": "Id",
    "Statement": [
        {
            "Effect": "Allow",
            "Principal": {
                "Service": "ses.amazonaws.com"
            },
            "Action": "secretsmanager:GetSecretValue",
            "Resource": "*",
            "Condition": {
                "StringEquals": {
                    "aws:SourceAccount": "000000000000"
                },
                "ArnLike": {
                    "aws:SourceArn": "arn:aws:ses:us-east-1:000000000000:mailmanager-ingress-point/*"
                }
            }
        }
    ]
}
  1. Choose Save, then choose Next.
  2. Configuring automatic rotation is optional. We skip this step and choose Next.
  3. Review and choose Store.
  4. Switch back to the Amazon SES console tab to finish creating the ingress endpoint.
  5. For Secret ARN, choose Refresh list, then choose the secret you just created.
  6. For Rule set, choose first-rule-set.
  7. For Traffic policy, choose first-traffic-policy.
  8. For Network type, select Private.
  9. For VPC endpoint ID, choose mm-vpce-auth-ingress-endpoint.
  10. Choose Create ingress endpoint.

Test configuration

Complete the following steps to test your configuration:

  1. Open the Amazon VPC console in the target Region.
  2. Under PrivateLink and Lattice in the navigation pane, choose Endpoints.
  3. Choose the VPC endpoint ID of mm-vpce-auth-ingress-endpoint to open the details page.
  4. Find the DNS names for the VPC endpoint. The first DNS name on this list is the Regional DNS name of the VPC endpoint; copy this DNS name and save it on a notepad for later use.

  1. Open the Amazon SES console in the target Region.
  2. Under Amazon SES Mail Manager in the navigation pane, choose Ingress endpoints.
  3. Choose my-authenticated-ingress-endpoint.
  4. In the Authentication section, locate the SMTP user name (typically starts with inp-).

  1. Connect to your EC2 instance using SSH.
  2. Use the command line to send an email using the Amazon SES SMTP interface to test the connectivity. Replace the endpoint with the DNS name of the VPC endpoint you copied earlier.

The message 250 OK esllb73q6bd94cnq004ujd544f169sog39bc9ug1 indicates the message was successfully accepted by Amazon SES Mail Manager.

Clean up

When you’re done with this solution, clean up the resources you created including Mail Manager configurations, security groups, VPC endpoints, KMS keys, and Secrets Manager secrets to avoid additional charges.

Conclusion

In this post, we showed how to enhance email security by implementing Amazon SES Mail Manager with VPC endpoints. This solution can help you modernize your email infrastructure while maintaining network-level isolation and meeting enterprise compliance requirements.

To learn more about Amazon SES, see the Amazon SES Developer Guide. For additional security best practices, refer to AWS Best Practices for Security, Identity, & Compliance. To get started using Amazon SES Mail Manager, participate in an Amazon SES Mail Manager workshop event, explore the advanced workflow features of Amazon SES Mail Manager, and consider integrating with your existing monitoring and alerting systems.


About the authors

Implement Tenants in your Amazon SES environment, Part 3: Implementation guide

Post Syndicated from Rommel Sunga original https://aws.amazon.com/blogs/messaging-and-targeting/implement-tenants-in-your-amazon-ses-environment-part-3-implementation-guide/

This is part 3 in a series covering the new tenants feature in Amazon Simple Email Service (SES). The first post in this series discussed how users can improve email deliverability with tenant management in Amazon SES. Part 2 covered key aspects involved in planning the migration of existing Amazon SES infrastructure to use tenant-based reputation isolation.

With Amazon SES tenants, users can:

  • Manage individual tenant onboardings and their reputations in isolation
  • Provision isolated tenants within a single SES account
  • Apply automated reputation policies to manage email sending
  • Detect and isolate deliverability issues within isolated email streams
  • Preserve sender reputation and improve inbox placement with mailbox providers

This post provides a step-by-step migration guide to Tenants for key AWS components like AWS Identity and Access Management (IAM) permissions, Amazon CloudWatch logging and Amazon EventBridge monitoring. Additionally, we provide several code examples that show how to programmatically provision tenants in real time as customers are onboarded. The goal is to demonstrate how to use the Tenants feature to achieve reputation isolation between customers or business units (BUs), get more control over sending policies, and enable the automatic pause mechanism to limit the damage from problematic senders.

Step-by-step migration guide

Having completed the inventory and configuration planning prescribed in part 2 of this series, we are ready to start the 4-step migration (or implementation) of the tenants feature in the AWS SES account.

The Amazon SES Tenants Migration process is as follows:

  1. Preparation
    1. Verify SES V2 API usage
    2. Update SDK versions
  2. Create Your First Tenant
    1. Create Tenant API calls
    2. Implement in onboarding workflow
    3. Verify tenant creation
  3. Associating Resources
    1. Link verified domains to tenants
    2. Associate configuration sets
    3. Connect IP pools
  4. Updating Your Sending Code
    1. Add Tenant/Name parameter to API calls
    2. Add X-SES-TENANT header for SMTP
    3. Update application sending code
    4. Test email sending functionality

Preparation

When sending email through a tenant, be sure to specify the tenant in the API calls or SMTP headers and ensure that all resources used are associated with that tenant. Before getting started, keep in mind that there’s an additional charge per tenant per month based on the number of emails. For more detailed information, see the SES Pricing page.

For applications that use SMTP, see the SMTP Implementation section later in this document.

For applications that use the SES API, confirm that the latest Amazon SES V2 API is being used, as tenant management capabilities are only available in this version (see SES V2 API migration guide). We also recommend verifying that the AWS SDK version being used supports these operations, otherwise you may need to update to a version that supports them.

The SES V2 API includes the seven essential operations for managing the tenant architecture that the application will need to leverage throughout the migration (or implementation) and tenant lifecycle:

  1. CreateTenant for establishing new tenant containers
  2. CreateTenantResourceAssociation for linking resources like domains and configuration sets to tenants
  3. DeleteTenant for removing tenants when workloads offboard
  4. DeleteTenantResourceAssociation to unlink resources from tenants
  5. GetTenant retrieves specific tenant details
  6. ListTenants provides an overview of all tenants in an account
  7. ListTenantResources shows which resources are associated with each tenant

Implementation Steps

Creating the tenant(s)

The following Python code example uses the AWS SDK for Python (Boto3) and CreateTenant to demonstrate tenant creation. We’ve added optional tags to better organize the tenant resource for billing or logging purposes.

import boto3
from botocore.exceptions import ClientError

def setup_ses_tenant():
    ses_client = boto3.client('sesv2')
    
    # Create a new tenant with descriptive tags
    tenant_response = ses_client.create_tenant(
        TenantName='MyTenant',
        Tags=[
            {
                'Key': 'Environment',
                'Value': 'Production'
            },
            {
                'Key': 'CustomerID',
                'Value': '[customer_id]'
            }
        ]
    )
    
    # Verify tenant creation
    tenants = ses_client.list_tenants()
    print(f"Total tenants in account: {len(tenants['Tenants'])}")
    
    return tenant_response['TenantName']


if __name__ == "__main__":
    try:
        tenant_name = setup_ses_tenant()
        print(f"Successfully created tenant: {tenant_name}")
    except ClientError as e:
        print(f"AWS error: {e}")
    except Exception as e:
        print(f"Unexpected error: {e}")

This example code can be used when a customer first onboards onto the platform to send email. By creating a tenant for this customer, resources under that tenant will be associated together whenever the tenant is used as explained in the next steps.

Associating resources with the tenant

Each tenant needs appropriate resources—configuration sets, sending identities, and potentially dedicated IP pools—to begin sending email. The association process should align with the resource sharing strategy as established during the migration planning phase.

The following Python code example uses the AWS SDK for Python (Boto3) and CreateTenantResourceAssociation to associate resources to the tenant that was created in the previous step.

import boto3
from botocore.exceptions import ClientError

def associate_resources_with_tenant():
    ses_client = boto3.client('sesv2')
    
    try:
        # Associate verified domain identity
        ses_client.create_tenant_resource_association(
            TenantName='MyTenant',
            ResourceArn='arn:aws:ses:[aws_region]:[account_id]:identity/[domain_name]'
        )
        print("Successfully associated email identity with tenant")

        # Associate configuration set for tracking
        ses_client.create_tenant_resource_association(
            TenantName='MyTenant',
            ResourceArn='arn:aws:ses:[aws_region]:[account_id]:configuration-set/MyTenantConfigurationSet'
        )
        print("Successfully associated configuration set with tenant")

    except ClientError as e:
        print(f"Error: {e.response['Error']['Message']}")
        raise

if __name__ == "__main__":
    associate_resources_with_tenant()

Consider implementing batch association for email streams with multiple domains or configuration sets. This approach reduces API calls and improves provisioning efficiency. Remember that resources can be shared across multiple tenants if the architecture requires it, allowing flexible resource allocation strategies.

Update the applications

The transition to tenant-based sending requires minimal code changes in the apps, namely adding the TenantName and ConfigurationSetName to the sending process.

API Implementations

For applications that use the SES V2 API, add the tenant and configuration set parameters to the send calls as demonstrated below using the AWS SDK for Python (Boto3) :

import boto3

def send_email_from_tenant():
    ses_client = boto3.client('sesv2')
    
    response = ses_client.send_email(
        FromEmailAddress='sender@[domain_name]',
        Destination={
            'ToAddresses': ['[recipient_email]']
        },
        Content={
            'Simple': {
                'Subject': {
                    'Data': 'Test email from SES tenant'
                },
                'Body': {
                    'Text': {
                        'Data': 'This is a test email sent from an SES tenant'
                    }
                }
            }
        },
        ConfigurationSetName='MyTenantConfigurationSet',
        TenantName='MyTenant'  # Critical addition for tenant routing
    )
    
    print(f"Message sent! Message ID: {response['MessageId']}")
    return response

if __name__ == "__main__":
    send_email_from_tenant()

SMTP Implementations

For sending applications that use SMTP, add the X-SES-TENANT and the ConfigurationSetName header parameters to every message. In the code block that follows, we demonstrate the proper header configuration for SMTP sending using Python:

from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
import smtplib

def send_smtp_email_with_tenant():
    sender = 'smtp-sender@[domain_name]'
    sender_name = 'Sender Name'
    recipient = '[recipient_email]'
    username_smtp = '[smtp_username]'
    configuration_set = 'MyTenantConfigurationSet'
    host = 'email-smtp.[aws_region].amazonaws.com'
    port = 587
    
    subject = 'Amazon SES test (SMTP interface accessed using Python)'
    body_text = """Email Test
    This email was sent through the Amazon SES SMTP interface using Python."""
    body_html = """<h1>Email Test</h1>
        <p>This email was sent through the 
        <a href="https://aws.amazon.com/ses">Amazon SES</a> SMTP
        interface using Python."</p>"""
    
    msg = MIMEMultipart('alternative')
    msg['Subject'] = subject
    msg['From'] = f"{sender_name} <{sender}>"
    msg['To'] = recipient
    msg['X-SES-CONFIGURATION-SET'] = configuration_set
    
    # Critical: Specify tenant for SMTP sending
    msg['X-SES-TENANT'] = 'MyTenant'
    
    part1 = MIMEText(body_text, 'plain')
    part2 = MIMEText(body_html, 'html')
    msg.attach(part1)
    msg.attach(part2)
    
    try:
        server = smtplib.SMTP(host, port)
        server.ehlo()
        server.starttls()
        server.ehlo()
        server.login(username_smtp, fetch_smtp_password_from_secure_storage())
        server.sendmail(sender, recipient, msg.as_string())
        print("Email sent successfully!")
        
    except Exception as e:
        print(f"Error: {str(e)}")
    
    finally:
        server.quit()

def fetch_smtp_password_from_secure_storage():
    # Implement secure password retrieval from AWS Secrets Manager
    # or your preferred secret storage solution
    return '[smtp_password]'


if __name__ == "__main__":
    send_smtp_email_with_tenant()

Configuring IAM policies and permissions for tenants

This section explains how to configure IAM permissions for SES tenants, including how to set up different permission levels for tenant management, email sending, and monitoring while following security best practices to control access based on organizational roles. Remember that IAM policies for tenants follow the principle of least privilege. Start with minimal permissions and expand as needed, regularly reviewing and removing unused permissions to maintain security.

Tenant management permissions

SES Tenants can be controlled through specific IAM permissions that determine who can create, modify, and use specific tenant(s) in the organization. The tenant management system’s core API actions discussed previously can be granted with granular access through IAM policies for administrative operations. The Service Authorization Reference for Amazon Simple Email Service v2 page contains the latest documentation for the service-specific actions used below for Amazon Simple Email Service.

We recommend limiting each IAM role’s permission based on the minimum capabilities required by that role. This helps mitigate the potential for negative effects if an SMTP credential is misused. What follows is a basic IAM policy that demonstrates full tenant management capabilities; this is NOT demonstrating the principle of least privilege (yet):

{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Effect": "Allow",
            "Action": [
                "ses:CreateTenant",
                "ses:DeleteTenant",
                "ses:GetTenant",
                "ses:ListTenants",
                "ses:CreateTenantResourceAssociation",
                "ses:DeleteTenantResourceAssociation",
                "ses:ListTenantResources",
                "ses:ListResourceTenants"
            ],
            "Resource": "*"
        }
    ]
}

Configuring sending permissions with tenants

Applications that send emails through tenants need different permissions than those managing tenants. The key distinction is using the ses:TenantName condition to restrict which tenants an application can use for sending.

The IAM policy below allows sending emails only through the specified CustomerA-Tenant tenant, ensuring applications can’t accidentally or maliciously send through other customers’ tenants.

{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Effect": "Allow",
            "Action": [
                "ses:SendEmail",
                "ses:SendBulkEmail"
            ],
            "Resource": [
                "arn:aws:ses:[aws_region]:[account_id]:identity/*",
                "arn:aws:ses:[aws_region]:[account_id]:configuration-set/*"
            ],
            "Condition": {
                "StringEquals": {
                    "ses:TenantName": "CustomerA-Tenant"
                }
            }
        }
    ]
}

Separating administrative and operational access

Production environments implement role separation between tenant management and email sending operations. Administrative roles handle tenant creation and resource association during customer onboarding, while application roles can only send emails through assigned tenants. The IAM policy below is an example of an administrative role; it allows creating and configuring tenants for use during customer onboarding but does not allow the tenant deletion action to prevent accidental deletions.

{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Effect": "Allow",
            "Action": [
                "ses:CreateTenant",
                "ses:ListTenants"
            ],
            "Resource": "*"
        },
        {
            "Effect": "Allow",
            "Action": [
                "ses:CreateTenantResourceAssociation",
                "ses:GetTenant"
            ],
            "Resource": "arn:aws:ses:[aws_region]:[account_id]:tenant/*/tn-*"
        },
        {
            "Effect": "Deny",
            "Action": "ses:DeleteTenant",
            "Resource": "*"
        }
    ]
}

Resource-level permissions

Tenants support resource-level permissions using Amazon Resource Names (ARNs), enabling fine-grained access control. Grant access to specific tenants by specifying the tenant name and tenant id (ex. CustomerA-Tenant/tn-1a2b3c4d5e6f7890abcdef1234567890) rather than granting blanket permissions using the “*/tn-*” wildcard as above. To obtain the tenant id you can use the list-tenants command of the AWS SESv2 CLI.

The IAM policy below grants access only to tenants CustomerA-Tenant and CustomerB-Tenant where the following tenant id is a placeholder that should be replaced by the correct tenant id that you obtained from list-tenants.

{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Effect": "Allow",
            "Action": "ses:GetTenant",
            "Resource": [
                "arn:aws:ses:[aws_region]:[account_id]:tenant/CustomerA-Tenant/tn-1a2b3c4d5e6f7890abcdef1234567890",
                "arn:aws:ses:[aws_region]:[account_id]:tenant/CustomerB-Tenant/tn-9876543210fedcba0987654321abcdef"
            ]
        }
    ]
}

Monitoring and compliance access

Security and compliance teams often need read-only access to monitor tenant usage. The following IAM policy grants read-only access to all tenants, but does not permit modifications or deletions of any tenants:

{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Effect": "Allow",
            "Action": [
                "ses:GetTenant",
                "ses:ListTenants",
                "ses:ListTenantResources"
            ],
            "Resource": "*"
        }
    ]
}

Monitoring Tenants with EventBridge and CloudWatch

Amazon SES integrates with Amazon EventBridge to deliver comprehensive monitoring capabilities for tenant management, providing real-time visibility into reputation changes and enabling automated response workflows. EventBridge is a serverless service that uses JSON-formatted events to connect application components, making it straightforward to build scalable event-driven applications. Amazon SES’s tenant feature’s integration with EventBridge enables organizations to track tenant-specific metrics and other metrics, such as reputation findings and reputation status changes, and tenant status changes.

Understanding EventBridge Integration with SES

EventBridge operates as a router that receives events from SES and delivers them to one or many destinations (aka targets). When SES features experience state changes or status updates, they automatically send events to the EventBridge default event bus. Rules associated with the event bus evaluate events as they arrive, checking whether each event matches the rule’s pattern before routing to specified targets. For SES tenant management, organizations can receive real-time alerts through Amazon EventBridge when tenant reputation findings are detected or when tenant status changes occur. These events are delivered on a best-effort basis; they might be delivered out of order, requiring users to deploy processing logic to handle such scenarios gracefully.

The code block that follows can guide users through the basic EventBridge integration with the SES tenant feature. For more extensive documentation on integrating with EventBridge please consult AWS documentation.

Setting up EventBridge integration

Create an EventBridge rule using the AWS SDK for Python (Boto3) to capture tenant status changes and reputation findings:

# Create rule for monitoring tenant status changes
aws events put-rule \
    --name "SESTenantStatusMonitor" \
    --description "Monitor SES tenant status changes" \
    --event-pattern '{
        "source": ["aws.ses"],
        "detail-type": [
            "Sending Status Enabled",
            "Sending Status Disabled",
            "Advisor Recommendation Status Open",
            "Advisor Recommendation Status Closed"
        ]
    }'

Routing events from EventBridge to CloudWatch Logs

CloudWatch provides the capability to collect raw data and process it into readable, near real-time metrics. Follow these steps to set up a CloudWatch log group for SES tenant events and configure the appropriate IAM permissions:

  1. Create a CloudWatch log group for tenant events:

aws logs create-log-group --log-group-name "/aws/ses/tenants"

  1. Add resource-based policy to CloudWatch Logs:
aws logs put-resource-policy \
    --policy-name EventBridgeToCloudWatchLogsPolicy \
    --policy-document '{
        "Version": "2012-10-17",
        "Statement": [{
            "Sid": "TrustEventsToStoreLogEvent",
            "Effect": "Allow",
            "Principal": {
                "Service": ["events.amazonaws.com", "delivery.logs.amazonaws.com"]
            },
            "Action": ["logs:CreateLogStream", "logs:PutLogEvents"],
            "Resource": "arn:aws:logs:[aws_region]: [account_id]:log-group:/aws/ses/tenants:*"
        }]
    }'
  1. Add the EventBridge target:

aws events put-targets \
    --rule "SESTenantStatusMonitor" \
    --targets '[{
        "Id": "SendToCloudWatchLogs",
        "Arn": "arn:aws:logs:[aws_region]:[account_id]:log-group:/aws/ses/tenants"
    }]'

An example event of a paused (“disabled”) tenant is shown below for reference:

{
    "version": "0",
    "id": "3cc76530-9842-03a9-fdef-e4e4f667cf4e",
    "detail-type": "Sending Status Disabled",
    "source": "aws.ses",
    "account": "[account_id]",
    "time": "2025-10-01T03:37:17Z",
    "region": "[aws_region]",
    "resources": [
        "arn:aws:ses:[aws_region]::tenant/CustomerA-Tenant/tn-2a8c678ec0000fdaf76cc1f127b40"
    ],
    "detail": {
        "version": "1.0.0",
        "data": {
            "origin": "CUSTOMER_MANAGED",
            "record": {
                "status": "DISABLED",
                "cause": "Status manually updated.",
                "lastUpdatedTimestamp": [
                    2025,
                    10,
                    1,
                    3,
                    37,
                    17,
                    671000000
                ]
            }
        }
    }
}

Managing tenant reputation with key Tenants features

Reputation management for individual tenants is one of the core benefits of using Amazon SES’s tenant feature, providing automated protection against deliverability issues that could damage overall account reputation. This section demonstrates how to configure reputation policies that can automatically pause tenants when they experience high bounce rates or reputation issues, as well as how to manually control tenant sending status for custom workflows.

Setting reputation policies

Amazon SES provides three reputation policy enforcement levels that determine how the system responds to reputation findings.

  • The Standard policy (recommended) pauses sending only for high-impact findings, providing a balance between protection and operational flexibility.
  • The Strict policy pauses sending for any reputation finding, offering maximum protection for sensitive environments.
  • The None option disables automated pausing while continuing to track findings, useful for manual monitoring scenarios.

Reputation findings are generated in two severity levels—low and high—based on metrics like bounce rates and complaint rates. When these metrics indicate a potential deliverability issue, SES creates findings that can trigger automatic pausing based on a chosen policy.

In the following code block, we demonstrate how to set a reputation policy on the CustomerA-Tenant

import boto3
from botocore.exceptions import ClientError

def update_tenant_reputation_policy(tenant_arn, policy_arn):
    ses_client = boto3.client('sesv2')
    
    ses_client.update_reputation_entity_policy(
        ReputationEntityType='RESOURCE',
        ReputationEntityReference=tenant_arn,
        ReputationEntityPolicy=policy_arn
    )
    print(f"Tenant policy_arn updated to: {policy_arn}")

# Example usage
if __name__ == "__main__":
    tenant_arn = "arn:aws:ses:[aws_region]:[account_id]:tenant/CustomerA-Tenant/tn-2a8c678ec0000fdaf76cc1f127b40"
    
    # Enable normal sending
    update_tenant_reputation_policy(tenant_arn, 'arn:aws:ses:[aws_region]:aws:reputation-policy/standard')
    
    # Disable/pause sending
    update_tenant_reputation_policy(tenant_arn, 'arn:aws:ses:[aws_region]:aws:reputation-policy/strict')
    
    # Reinstate with monitoring
    update_tenant_reputation_policy(tenant_arn, 'arn:aws:ses:[aws_region]:aws:reputation-policy/none')

Our recommendation is to choose the Standard policy for most production tenants, as this policy provides automatic protection against severe reputation issues while avoiding unnecessary disruptions. Reserve the Strict policy for new or untrusted tenants where maximum caution is warranted. Use the None option during initial monitoring periods or when implementing custom reputation management logic.

Handling paused tenants

When a tenant is paused, either automatically through reputation policies or manually, the sending status prevents any emails from being sent through that tenant. The system derives this aggregate status from both customer-managed and AWS-managed statuses; if either is set to DISABLED, the tenant cannot send emails.

Amazon SES publishes notifications to EventBridge when tenant status changes occur or new reputation findings are detected, enabling real-time response to reputation events. After investigating and resolving the underlying issues, the tenant’s sending capabilities can be reinstated. During reinstatement (REINSTATED status), the tenant can continue sending while metrics are monitored to verify improvement.

def update_tenant_status(tenant_arn, status):
    ses_client = boto3.client('sesv2')
    
    ses_client.update_reputation_entity_customer_managed_status(
        ReputationEntityType='RESOURCE',
        ReputationEntityReference=tenant_arn,
        SendingStatus=status
    )
    print(f"Tenant status updated to: {status}")

# Example usage
if __name__ == "__main__":
    tenant_arn = "arn:aws:ses:[aws_region]:[account_id]:tenant/CustomerA-Tenant/tn-2a8c678ec0000fdaf76cc1f127b40"
    
    # Enable normal sending
    update_tenant_status(tenant_arn, 'ENABLED')
    
    # Disable/pause sending
    update_tenant_status(tenant_arn, 'DISABLED')
    
    # Reinstate with monitoring
    update_tenant_status(tenant_arn, 'REINSTATED')

The REINSTATED status allows the tenant to continue sending even with active reputation findings. Once metrics return to healthy levels, the tenant automatically transitions back to ENABLED status. This approach ensures minimal disruption while protecting the overall account reputation from problematic email streams.

Managing tenant lifecycle

When customers modify a service tier or leave the platform, proper cleanup ensures resource efficiency and maintains account organization.

Removing resource associations

Before deleting a tenant, remove all resource associations to prevent orphaned configurations:

import boto3
from botocore.exceptions import ClientError

def remove_resource_from_tenant():
    ses_client = boto3.client('sesv2')
    
    try:
        # Remove identity association
        ses_client.delete_tenant_resource_association(
            TenantName='MyTenant',
            ResourceArn='arn:aws:ses:[aws_region]:[account_id]:identity/[domain_name]'
        )
        print("Successfully removed identity association")
        
        # Remove configuration set association
        ses_client.delete_tenant_resource_association(
            TenantName='MyTenant',
            ResourceArn='arn:aws:ses:[aws_region]:[account_id]:configuration-set/MyTenantConfigurationSet'
        )
        print("Successfully removed configuration set association")
    
    except ClientError as e:
        print(f"Error: {e.response['Error']['Message']}")
        raise


if __name__ == "__main__":
    remove_resource_from_tenant()

Deleting tenants

Once all resources are disassociated, remove the tenant entirely:

import boto3
from botocore.exceptions import ClientError

def delete_tenant(tenant_name):
    ses_client = boto3.client('sesv2')
    
    try:
        # Delete the tenant
        ses_client.delete_tenant(TenantName=tenant_name)
        print(f"Successfully deleted tenant: {tenant_name}")
        return True
        
    except ClientError as e:
        print(f"Error deleting tenant: {e.response['Error']['Message']}")
        raise

# Example usage with error handling
if __name__ == "__main__":
    try:
        delete_tenant("MyTenant")
    except ClientError as e:
        print(f"Cleanup failed: {e}")

Tenant lifecycle management ensures clean transitions when customers change service tiers or leave the platform. Implement these operations in customer offboarding workflows to maintain optimal account organization and resource utilization.

Resource Management

Resource Sharing Capabilities

Resources can be assigned to multiple tenants simultaneously. This enables sharing common resources between tenants while maintaining separate reputation tracking. For example, the reputation for marketing and transactional email could be tracked separately across independent tenants while using the same sending domain. SES validates tenant-resource associations at send time, rejecting requests if the specified tenant lacks access to the requested resources.

Resource Migration Between Tenants

Resource migration involves two API calls. First, remove the association from the current tenant using DeleteTenantResourceAssociation, then create a new association with the target tenant using CreateTenantResourceAssociation. This process can be automated for bulk migrations during reorganizations.

Reputation Management

Tenant Isolation Protection

Each tenant maintains independent reputation metrics and sending status. When one tenant experiences deliverability issues, it can be automatically paused without affecting other tenants’ ability to send, protecting both shared resources and account-level reputation.

Tenant Pausing Triggers

Tenants can either be paused manually using the UpdateReputationEntityCustomerManagedStatus API or paused automatically based on the reputation policy assigned to the tenant. Reputation policies pause tenants based on reputation findings generated from bounce rates, complaint rates, and third-party feedback reports. The Standard policy (recommended) pauses only for high-severity findings (bounce rate > 15%, complaint rate > 1%), while Strict pauses even for low severity findings (bounce rate > 10%, complaint rate > 0.5%).

Tenant Reactivation Process

For tenants paused by automated reputation policies, use the UpdateReputationEntityCustomerManagedStatus API to reinstate sending after addressing root causes. Tenants paused by AWS Trust & Safety require case resolution through AWS Support.

Migrating Existing Customers

Creating tenants for existing email streams can be completed with no disruption to email sending. Start by creating tenants for each customer or business unit, then associate existing resources like email identities, configuration sets, and templates using the tenant association APIs. Once those steps are complete, update the application, or inform the customer or BU they now need to specify the tenant name and configuration set in their SES SendEmail API calls or SMTP headers which enables SES to route emails through the appropriate tenant.

Reputation Metrics Transition

New reputation metrics will be tracked separately for each tenant from the point of creation and use. Historical metrics from before tenant implementation are not available. Tenant metrics contribute to the overall account-level reputation. For example, if tenant-a, tenant-b, and tenant-c each send 1,000 emails and:

  • Tenant-a receives 150 bounce notifications over 1,000 emails (for a bounce rate of 15%), tenant reputation protection will pause this tenant before the issue escalates.
  • Tenant-b receives 0 bounces over 1,000 emails, for a bounce rate of 0%
  • Tenant-c receives 0 bounces over 1,000 emails, for a bounce rate of 0%

The SES Account Level Bounce Rate (all tenants) is 150 out of 3,000, or 5%

Account Activation Requirements

No account-level activation is required to configure and use the Tenant feature, it is immediately available through the SES V2 API or the AWS SES Console. Users can also start using the tenant management APIs (CreateTenant, CreateTenantResourceAssociation, DeleteTenant, etc.) without any account modifications or support requests.

Conclusion

This post covered detailed migration steps, monitoring setup, practical implementation examples and troubleshooting steps. From running a SaaS platform, to managing multiple brands, to operating separate business units, tenant-based reputation isolation ensures Amazon SES email infrastructure scales reliably as an organization grows.

Additional resources


About the authors

Implement Tenants in your Amazon SES environment, Part 2: Assessment and planning

Post Syndicated from Rommel Sunga original https://aws.amazon.com/blogs/messaging-and-targeting/implement-tenants-in-your-amazon-ses-environment-part-2-assessment-and-planning/

Running multiple users or business units (BUs) on a shared email infrastructure often creates deliverability and compliance risks. The tenant-based reputation isolation feature in Amazon Simple Email Service (Amazon SES) solves these challenges by separating email reputation by customer, BU, or workload. This is part 2 in a series covering the new tenants feature in Amazon Simple Email Service (SES). The first post in this series discussed how users can improve email deliverability with tenant management in Amazon SES (for more details, see the blog post).

In this post, we provide an overview of the tenants feature and guidance for planning the implementation to or migration of your existing Amazon SES infrastructure to use tenant-based reputation isolation.

Part 3 covers practical implementation steps for the tenants feature, including configuration steps for key components like Identity and Access Management (IAM) permissions, Amazon CloudWatch logging, and Amazon EventBridge monitoring. We also provide code examples using the Amazon SES v2 APIs that show how to provision tenants in real time as you onboard downstream customers or business divisions onto your Amazon SES account. Key outcomes include complete reputation isolation between customers, control over sending policies, and automated pause mechanisms for problematic senders.

Solution overview

Amazon SES now offers tenant management capabilities that enable isolated email sending environments within a single AWS account. This provides granular reputation management across different email streams. You can assign dedicated configuration sets, sending identities, and templates to each tenant. Each tenant functions as a logical container that maintains its own sending reputation independently. This tenant-based reputation isolation makes sure deliverability issues with one tenant won’t affect your other tenants. You also get real-time visibility into tenant-level metrics, including messages sent, bounce rates, and complaint rates.

The following diagram illustrates the solution architecture.

Tenants are a best practice for those who want visibility, isolation, and control over their email reputation, from large-scale platforms to smaller teams:

  • Independent software vendors (ISVs) with multiple customers, and marketing and software as a service (SaaS) solutions using a central AWS SES account – You can provision a tenant for each customer to segregate email sending and prevent one client’s sending from negatively affecting deliverability for other clients.
  • Enterprises and other large organizations with multiple BUs – You can maintain separate reputation profiles for different BUs, departments, or brands within the same AWS account.
  • Organizations with distinct mail streams – You can separate transactional and marketing mail, or keep product notifications distinct from internal communications, to make sure issues with one tenant’s email stream don’t affect the other tenants.
  • Single-stream senders – Even if you currently only operate one email stream, you can future-proof your SES account by assigning a tenant from day one. This provides visibility into reputation findings and helps you apply proactive policies to stay ahead of deliverability issues before they impact sending.

In the following sections, we outline how to plan and execute your migration to Amazon SES tenants. We show how to assess your current setup, choose the right tenant structure for your organization, and implement a gradual rollout that minimizes disruption to your existing email operations.

Pre-migration assessment

If you are already using Amazon SES, the transition to tenant-based architecture begins with understanding your current email infrastructure. Start by creating an inventory of your existing sending identities (domains) and identify what, if any, Amazon SES configuration set is assigned. This will help you understand how each customer or BU is currently distributed across your Amazon SES infrastructure. Review each configuration set to identify and track the various configuration options, such as the sending IP pool and archive option. The information you uncover in this phase will serve as the blueprint for your tenant associations and help you make sure each tenant has access to the appropriate resources, while maintaining proper isolation boundaries.

Recommended tenant structure: Individual tenants per customer

For most implementations, we recommend creating one or more tenants per customer or BU so you can achieve complete tenant-level isolation of email workloads. With this approach, you can supply dedicated SMTP or API credentials per tenant to provide secure access to allocated resources. You can apply different reputation policies per tenant as needed and automatically pause any tenant that conflicts with the reputation policy. Additionally, the shared tenant monitoring tools in Amazon SES help you automatically monitor and enforce reputation-based policies at the tenant level, so that problematic email sending behavior from one tenant doesn’t impact the deliverability of others.

The following diagram shows an example of an ISV that operates a SaaS platform on AWS that sends emails on behalf of its many customers from a single Amazon SES account. They have followed the recommended approach by implementing a 1:1 mapping between tenants and customers. This strategy provides complete reputation isolation for each customer and makes sure the ISV operating the Amazon SES account can automatically prevent deliverability issues from one customer from impacting others. This architecture minimizes the reputation damage a single tenant can cause to the ISV’s Amazon SES account’s shared resources like IP pools and domains, making it the optimal choice for maintaining high deliverability standards.

Resource sharing strategies

Your resource allocation strategy depends on your business model and customer segmentation. Consider the following recommended approaches:

  • Complete resource isolation – Each customer, brand, BU, or workload is assigned to individual, dedicated resources using the tenant configuration. This approach offers the simplest migration path: associate each customer’s dedicated resources (identities, IP addresses) with their corresponding tenant and continue operations with enhanced isolation. This model works well for enterprise customers and ISVs who deploy dedicated IPs for customers and require complete separation.
  • Tiered resource sharing – Organizations and ISVs with service tiers (such as free, pro, and VIP) can align tenants and resource sharing with these tiers. Free-tier customers might use the free-tier tenant and share basic resources, pro customers access the pro-tier tenant that maps to enhanced shared resources, and VIP customers receive dedicated resources, often using VIP customer-specific tenants. This balances cost-efficiency with appropriate isolation levels for each customer segment.
  • Extensive resource sharing – Even when email streams share most resources in the Amazon SES account, such as sending identities and IP pools, tenant isolation tenant isolation allows you to protect the sender reputation for independent email streams you send through the shared resources. Consider grouping similar types of customers or email streams into a single tenant or assigning a certain number of customers to each tenant. Although the grouping might be varied, the Amazon SES tenant feature can still minimize the effect of problematic email streams in any one tenant from affecting other tenants by pausing the offending tenant. This helps avoid Amazon SES account-level reputation damage to shared resources, protecting customers and stakeholders using those resources.

Tenant limits and quotas

Amazon SES provides tenant limits to accommodate various organizational scales. The default limit supports 10,000 tenants per account, which is sufficient for most organizations. Qualifying accounts can request increases for more tenants as needed through the Service Quotas console.

Importantly, implementing tenants doesn’t impact your account-level sending quotas or transactions per second (TPS) limits; these remain unchanged and continue to apply across the tenants within your account.

Low-friction adoption

Amazon SES tenants are designed for low-friction adoption, providing isolated containers for your existing Amazon SES email infrastructure. With tenants, you can continue sending emails using your current domains, configuration sets, and IP pools while progressively associating them with appropriate tenants. If you use them, your senders can continue targeting their assigned configuration set. After you’ve configured your Amazon SES account with tenants, instruct your customers or event buses to add a new Amazon SES API call or SMTP header specifying their unique tenant ID. If you aren’t yet using configuration sets, we’ve found that the introduction of the Amazon SES tenants feature often serves as a compelling reason for ISVs and large organizations to adopt configuration sets. If your organization has been looking for ways to offer enhanced email services to existing customers, you might want to use this opportunity to review customer accounts and offer dedicated IPs or email archiving to important email workloads. The ability to gradually roll out the Amazon SES tenants feature facilitates selective adoption, starting with a subset of customers, brands, event buses, or workloads before expanding to your entire customer base. This phased approach enables testing and refinement of your tenant strategy without disrupting existing email operations. Organizations can validate their tenant configuration with low-risk customers before rolling out to critical segments, providing a smooth transition to enhanced reputation management.

Conclusion

In this post, we discussed key aspects of the migration process to Amazon SES tenants, from initial assessment to tenant structure planning. Part 3 of this series will cover details of IAM configuration, monitoring setup, and practical implementation examples. Whether you’re running a SaaS platform, managing multiple brands, operating separate BUs, or just starting to use Amazon SES for your organization, the tenant feature provides simple reputation isolation, boosts efficiency, and helps create better experiences for users.

To learn more, refer to the following resources:


About the authors

Learning email deliverability with Amazon SES

Post Syndicated from Alaa Hammad original https://aws.amazon.com/blogs/messaging-and-targeting/learning-email-deliverability-with-amazon-ses/

Emails landing in spam folders? Facing account suspension warnings? This blog post walks you through seven targeted video tutorials that address the most common Amazon Simple Email Service (Amazon SES) deliverability challenges our customers encounter. Each video in this series provides actionable insights which will allow you to gain knowledge on every aspect of email deliverability, improve your email performance and increase your inbox placement rates.

Why email deliverability matters

Poor deliverability can lead to emails landing in spam folders, increase bounce rates, and can trigger account suspension. Email deliverability directly impacts:

  • Your sender reputation
  • Inbox placement rates
  • Customer engagement
  • Business revenue
  • Compliance with email service provider policies.

Our video series will help you avoid these pitfalls and build a robust email delivery strategy, including onboarding to Amazon SES, choosing your IP, monitoring feedback, reputation, and how to handle unsubscribes, bounces, and complaints.

Onboarding your email solution to Amazon SES

Watch: SES Deliverability learning series: Onboarding your email solution to Amazon SES

What you’ll learn: This video provides a complete migration roadmap for moving your email system to Amazon SES, including domain verification and authentication setup through DKIM, SPF, and DMARC protocols. You’ll learn how to move the account to the production access, acquire and configure dedicated IPs, create and manage configuration sets, and set up Virtual Deliverability Manager for email monitoring. The video also covers the difference between SMTP and API sending methods to explain bulk sender requirements and how to comply with them for successful email delivery.

How this helps with email deliverability: Following SES best practices when onboarding your email system to Amazon SES will help protect your emails from being spoofed, with proactive monitoring using Virtual Deliverability Manager, you can identify issues before they impact delivery, maintaining strong sender reputation and sustained email delivery success.

Choosing the right Amazon SES IP

Watch: SES Deliverability learning series: Choosing the Right Amazon SES IP for Your Email Needs

What you’ll learn: Key differences between shared IPs, dedicated IPs (Managed and Standard), How to choose the right IP environment based on your sending volume and use case, best practices for managing IP reputation, the IP warm-up process and its importance, and shared responsibilities between you and Amazon SES when using dedicated IPs. This video shows you how to rebuild trust with mailbox providers through proper IP management.

How this helps with email deliverability: If your account’s reputation was impacted due to poor sending practices, switching to dedicated IPs can help isolate your reputation and provide better control over your sending environment.

Monitoring email feedback

Watch: Mastering email deliverability: Monitoring email feedback

What you’ll learn: Discover how Amazon SES feedback loops can prevent account pause by alerting you to rising complaint, understanding and analyzing complaint data, utilizing mailbox provider postmaster tools, setting up comprehensive monitoring dashboards, tracking deliverability and engagement metrics, and strategies for emails to reach intended recipients. This video teaches you how to set up systems that alert you to rising complaint rates, bounce rates, and other warning signs before they started to impact your account’s ability to send emails.

How this helps with email deliverability: Proper monitoring is essential for preventing further complaints or bounces that could put your AWS account at risk of termination.

Email reputation with Amazon SES

Watch: Mastering email deliverability: Email Reputation with Amazon SES

What you’ll learn: What email reputation is and why it matters, how email providers evaluate sender reputation, best practices for isolating and managing your reputation, authentication methods to protect your reputation, and effective monitoring techniques for reputation management.

How this helps with email deliverability: Understanding email reputation is important for maintaining a good reputation with mailbox providers.

Handling email unsubscribes

Watch: Mastering email deliverability: Handling email unsubscribes

What you’ll learn: The importance of proper unsubscribe handling, how to remove unsubscribes from your SES mailing lists, the connection between unsubscribes and deliverability rates, strategies to maintain clean email lists, how to identify and prevent mass unsubscribe events, what to do when you see high unsubscribe rates. This video shows you how to properly handle unsubscribes and reduce rates that might trigger spam complaints by mailbox providers or impact your account’s ability to send emails.

How this helps with email deliverability: High unsubscribe rates often indicate content quality issues, sending emails to users who don’t want or expect, list hygiene issue, not having a proper confirmed opt-in, and sending too frequently.

How to handle bounces and boost inbox success

Watch: Mastering Email Deliverability: How to Handle Bounces and Boost Inbox Success

What you’ll learn: Different types of email bounces (soft and hard bounces), What each bounce type indicates about your campaign health, practical strategies to manage and reduce bounce rates, best practices for cleaning your email lists, how to implement effective bounce monitoring systems, steps to identify and address unusual bounce trends, and actionable solutions for common bounce-related challenges. This video provides specific strategies to clean your lists and reduce bounce rates that could impact your account’s ability to send emails, helping you demonstrate improved sending practices with SES.

How this helps with email deliverability: High bounce rates often indicate that a sender is sending unsolicited email to their recipients.

Understanding and handling email complaints

Watch: Mastering Email Deliverability: Understanding and Handling Email Complaints

What you’ll learn: What email complaints are and why they matter, different types of complaints (spam reports, unsubscribe requests), how complaints directly impact your deliverability rates, the correlation between complaint rates and spam folder placement , strategies to keep complaint rates within ideal ranges, practical tips to proactively reduce email complaints, and best practices for content creation and opt-out options. This video helps you understand how to maintain a healthy sender reputation by implementing best practices that align with email service provider guidelines and minimize potential risks to the email system.

How this helps with email deliverability: Mailbox providers may reject emails received from senders based on the complaints they received from their recipients.

Take action today

Don’t let deliverability issues impact your business success. Each video in this series provides practical, actionable guidance that you can implement immediately. Whether you’re dealing with account suspensions issue or simply want to optimize your email performance, these videos will help you establish reliable email delivery that meets mailbox provider requirements.

Ready to get started? Begin with the video that addresses your most pressing challenge, then work through the complete series to learn more about all aspects of email deliverability with Amazon SES.

Have questions about implementing these strategies? The AWS Support team is here to help you optimize your email deliverability and resolve any challenges you may be facing.


About the author

Enhance email security using VPC endpoints with Amazon SES

Post Syndicated from Mamadou Ba original https://aws.amazon.com/blogs/messaging-and-targeting/enhance-email-security-using-vpc-endpoints-with-amazon-ses/

Email’s universal adoption and accessibility make Amazon Simple Email Service (Amazon SES) an ideal platform for delivering critical business communications, such as customer notifications or password resets. However, the ubiquity of email also invites bad actors who seek to actively exploit email’s ubiquity to launch sophisticated attacks. Business email transmissions traverse a complex network with potential vulnerabilities, making email systems prime targets for these malicious actors. Common threats include message interception, email spoofing, unauthorized access to sending services, and service disruption attacks.

Amazon SES handles millions of sensitive communications daily. For example, healthcare providers transmit patient data, financial institutions send transaction alerts, and businesses exchange confidential information. Securing this critical infrastructure requires deep expertise in email systems, threat detection, and advanced security protocols to provide message integrity and confidentiality.

In this post, we discuss and guide you in enhancing your email security by using VPC endpoints with Amazon SES.

Common security challenges customers face sending email with Amazon SES

Consider the challenges faced by a large healthcare provider seeking to send automated appointment reminders and confidential lab results. Although Amazon SES meets their email delivery needs, the IT team must implement strict security measures to satisfy industry, government, and internal requirements. These likely include secure SMTP connections, identity-based access controls, and network isolation to safeguard sensitive patient information.

These common security requirements seek to address two critical concerns. First, they aim to prevent unauthorized access to the organization’s Amazon SES accounts, thereby safeguarding sensitive communications from potential breaches. Second, these measures mitigate the risks of bad actors co-opting their Amazon SES accounts to launch sophisticated email spoofing and phishing attacks.

Either breach could compromise trusted domains, undermining the security of the healthcare provider’s email communications and damaging their reputation.

For organizations with specific network security requirements or compliance mandates, Amazon SES offers VPC endpoint integration to provide additional network-level controls. This approach is particularly valuable for customers who prefer to avoid API calls traversing the public internet or need to ensure email processing workflows remain within private network boundaries.

VPC endpoints create a direct connection between your applications and Amazon SES, offering the following capabilities:

  • Enhanced network isolation: Keeps email traffic within your private network infrastructure
  • Compliance alignment: Supports regulatory frameworks like HIPAA and GDPR that may require additional network controls
  • Network-based access controls: Restricts SES access to authorized IP ranges and subnets
  • Simplified hybrid connectivity: Leverages existing VPN or Direct Connect infrastructure for seamless integration
  • Defense-in-depth architecture: Adds an additional layer of network security to your email infrastructure

Amazon SES VPC endpoints are enabled by AWS PrivateLink for SMTP message traffic. With these VPC endpoints, you can route SMTP email traffic privately within the AWS network between your sending applications, optionally with encryption, and Amazon SES. When using a VPC endpoint, traffic to Amazon SES doesn’t transmit over the internet and never leaves the Amazon network to securely connect your VPC to Amazon SES without availability risks or bandwidth constraints on your network traffic.

At the time of writing, Amazon SES VPC endpoints don’t support API-based email sending (such as SendEmail, SendRawEmail, or SDKs). Amazon SES API traffic should be encrypted and routed using a VPC through a NAT gateway or over the public internet.

Solution overview

Our solution can help you secure your SMTP message traffic by using the following components:

The following diagram illustrates the solution architecture. The architecture assumes you already have connectivity from your on-premises network to your VPC. For instructions to connect your on-premises network to AWS, refer to Hybrid network connections.

For testing purposes, we use connectivity within AWS. The same concept applies if you’re connecting from an on-premises network that is connected to your VPC either through a Virtual Private Network (VPN) or Direct Connect (DX).

The solution workflow consists of the following steps:

  1. Your SMTP sending applications and services are located on premises or in your data center using two subnets:
    1. Subnet A (IP range: 10.10.10.50)
    2. Subnet B (IP range: 10.90.120.50)
  2. Secure connections are transmitted using AWS Direct Connect or VPN connection to a VPC in the same AWS Region as your Amazon SES account.
  3. The SMTP message traffic, optionally encrypted, is sent to the Amazon SES VPC endpoints configured to restrict network connections from the VPC to only specific subnets:
    1. Traffic on approved subnet A (10.10.10.50) is sent to Amazon SES.
    2. Traffic on denied subnet B (10.90.120.50) is dropped (not sent to Amazon SES).
  4. SMTP traffic from only the allowed subnet A is further restricted to an IAM policy with valid SMTP credentials.
  5. Messages that conform to the traffic and authentication policies are passed to Amazon SES for final delivery to recipients.

Prerequisites

To implement this solution, you must have the following prerequisites:

  • Amazon SES, configured with at least one verified identity, in the same Region as the VPC.
  • An existing VPC in the same Region as Amazon SES. This can be the default VPC. For more information, see Plan your VPC.
  • An SMTP sending application (optionally supporting TLS encryption) located in one of the following options:
    • On premises or in a data center that is connected to the VPC through a private network connection (such as Direct Connect or VPN). For more details about private network connections to AWS, refer to Network-to-Amazon VPC connectivity options.
    • In the VPC running on a compute resource such as Amazon Elastic Compute Cloud (Amazon EC2) or AWS Lambda. For this post, we use an EC2 instance in the VPC and connect to Amazon SES through the VPC endpoint on port 587 with TLS enabled. Note that AWS blocks outbound SMTP traffic on port 25 across most AWS services. Use an alternative TCP port, such as 465, 587, 2465, or 2587. Request port 25 exemption by submitting a request to AWS Support from your AWS account using the “Request to remove email sending limitations” form. This can take upwards of 7 business days to be reviewed; approval is not guaranteed. Amazon SES uses an opportunistic TLS policy by default for encrypting messages when the receiving host supports it. You should use encryption whenever it is available.
  • For testing, you can use one of the following options:
  • DNS resolution for resources in the VPC with the Amazon SES VPC endpoints in the source network. To learn more, see Resolving DNS queries between VPCs and your network.

Create security group

The first step is to create a security group with inbound rules that only allow a specific IP range on the appropriate port (host-permitting, 25, 465, 587, 2465, or 2587). In our example, we only allow subnet A (IP range: 10.10.10.50) on port 587. Complete the following steps to create the security group:

  1. In the navigation pane of the Amazon EC2 console, under Network & Security, choose Security groups.
  2. Choose Create security group.
  3. For Security group name, enter a unique name that identifies the security group (we use ses-vpce-sec-group).
  4. For Description, enter the purpose of the security group.
  5. For VPC, choose the VPC in which you will host the application that will use Amazon SES.
  6. Under Inbound rules, choose Add rule.
  7. For Type, choose Custom TCP.
  8. For Port range, enter the port number that you want to use to send email. You can choose from 465, 587, 2465, or 2587. For this post, we use 587.
  9. For Source type, choose Custom.
  10. Enter the private IP CIDR range for subnet A (IP range: 10.10.10.50), which contains the resources that will use the VPC endpoint to communicate with Amazon SES.
  11. Choose Create security group.

Create VPC endpoint to connect the VPC to Amazon SES

Complete the following steps to create your VPC endpoint:

  1. On the Amazon VPC console, in the navigation pane, under PrivateLink and Lattice, choose Endpoints.
  2. Choose Create endpoint.
  3. Optionally, under Endpoint settings, create a tag in the Name tag field.
  4. For Service category, select AWS services.
  5. For Services, filter for and select smtp.
  6. For VPC, choose a VPC (for more details, see Prerequisites).
  7. For Subnets, select Availability Zones and Subnet IDs.
    Amazon SES doesn’t support VPC endpoints in the following Availability Zones: use1-az2, use1-az3, use1-az5, usw1-az2, usw2-az4, apne2-az4, cac1-az3, and cac1-az4.
  1. For Security groups, choose the security group you created earlier.
  2. Optionally, for Tags, create one or more tags.
  3. Choose Create endpoint.
    Wait approximately 5 minutes while Amazon VPC creates the endpoint. When the endpoint is ready to use, the value in the Status column changes to Available.
  4. Copy the VPC endpoint ID to your clipboard to use in the next step.

Optionally, you can test the connection to make sure the VPC endpoint is configured properly by using command line tools to send a test email using the Amazon SES SMTP interface from an EC2 instance in the same VPC where you just created the email-smtp VPC endpoint. For more information, see Using the Amazon SES SMTP interface to send email.

Create SMTP credentials in Amazon SES that will be used by sender applications to authenticate

Complete the following steps to create SMTP credentials:

  1. On the Amazon SES console, choose SMTP Settings in the navigation pane.
  2. Choose Create SMTP credentials.
  3. Enter your preferred user name and choose Create user.
  4. Download the user’s SMTP credentials or copy the credentials to AWS Secrets Manager. (we will use these SMTP credentials in the next step).
  5. Return to the SES console.

Limit traffic to the Amazon SES VPC endpoint using IAM

In this step, we limit traffic to the Amazon SES VPC endpoint using an IAM policy. The IAM policy has a condition that restricts access to aws:SourceVpce. Complete the following steps:

  1. On the Amazon SES console, choose SMTP Settings in the navigation pane.
  2. Choose Manage my existing SMTP credentials.
  3. Choose the user you created earlier, then choose Permissions.
  4. Choose the policy name AmazonSesSendingAccess to go to the IAM policy editor.
  5. Replace the policy content in JSON view with the following policy, which adds the conditions for traffic to come from the Amazon SES VPC endpoint:
{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Sid": "SESSendPermissions",
      "Effect": "Allow",
      "Action": [
        "ses:SendEmail",
        "ses:SendCustomVerificationEmail",
        "ses:SendRawEmail",
        "ses:SendBulkEmail"
      ],
      "Resource": "*",
      "Condition": {
        "StringEquals": {
          "aws:SourceVpce": ""
        }
      }
    }
  ]
}
  1. Choose Next.
  2. Choose Save changes.

As a best practice, rotate your SMTP credentials on a periodic basis and whenever there is concern over the confidentiality of the credentials. For more information, see Automate the Creation & Rotation of Amazon Simple Email Service SMTP Credentials.

Test permissions and connectivity

To test permissions and connectivity by sending a test email, complete the following steps to create an EC2 instance in your VPC:

  1. On the Amazon EC2 console, create a new EC2 instance.
  2. Make sure to specify your VPC and subnet. The subnet must be the same as the one selected in previous steps.
  3. Use the SMTP script in the Amazon SES documentation for testing.

This screenshot shows the test result using the SMTP VPC Endpoint URL.

This configuration allows Amazon SES to only accept SMTP message traffic from applications from allowed on-premises subnets with connectivity to AWS and in the VPC that originates from the permitted SMTP IAM identity policy. This design follows the AWS least privilege access approach to security. To learn more, refer to Strategies for achieving least privilege at scale.

Clean up

After testing, if you don’t want to keep these configurations you should delete the EC2 instance, the VPC endpoint, the SMTP credential, and the IAM user.

Conclusion

In this post, we demonstrated how to implement a secure Amazon SES environment by combining multiple AWS security controls. By using Amazon SES VPC endpoints, security groups, and IAM policies, you can create a robust security architecture that restricts email sending capabilities to authorized networks only.

This multi-layered approach addresses critical security challenges by avoiding public internet exposure for SMTP traffic, enabling comprehensive traffic monitoring through VPC flow logs, and establishing defined network boundaries that satisfy strict compliance requirements.

The solution provides significant security benefits while maintaining the scalability and reliability that Amazon SES customers expect. Organizations can effectively protect sensitive email communications, prevent unauthorized access, and maintain compliance with industry regulations like HIPAA and GDPR. This becomes increasingly important as email-based threats continue to evolve and regulatory requirements become more stringent.

Start implementing these security controls today:

  • Deploy this solution in your development environment first, testing each component thoroughly
  • Review the security best practices for Amazon SES and VPC endpoints
  • Validate your implementation against your organization’s security requirements
  • Create a detailed migration plan for your production environment
  • Monitor and audit your email infrastructure regularly using VPC Flow Logs and Amazon CloudWatch

For additional guidance, consult the Amazon SES documentation, explore the AWS Security Blog for related articles, or engage with AWS Support. Remember to periodically review and update your security configurations as new features and best practices emerge.


About the authors

Set up custom domains in Amazon Connect hosted with M365 Exchange Online or Google Workspace

Post Syndicated from Zip Zieper original https://aws.amazon.com/blogs/messaging-and-targeting/set-up-custom-domains-in-amazon-connect-hosted-with-m365-exchange-online-or-google-workspace/

Amazon Connect Email provides built-in capabilities that make it straightforward to prioritize, assign, and automate the resolution of customer service emails, improving customer satisfaction and agent productivity. With Amazon Connect Email, you can receive and respond to emails sent by customers to business addresses or submitted through web forms on your website or mobile app. You can configure auto-responses, prioritize emails, create or update cases, and route emails to the best available agent when agent assistance is required. Additionally, these capabilities work seamlessly with Amazon Connect outbound campaigns, helping you deliver proactive and personalized email communications.

Amazon Connect Email integrates with Amazon Simple Email Service to send, receive, and monitor emails for content marked as spam or containing viruses, delivery success rates, and sender reputation results.

This post guides you through setting up email in Amazon Connect by routing emails from your email server (Microsoft 365 or Google Workspace) to Amazon Simple Email Service (Amazon SES) SMTP endpoints using a custom email domain onboarded to Amazon SES. By configuring Amazon Connect with your custom email domain in Amazon SES, you can create a unified communication hub that enhances customer experience while simplifying agent workflows. The result is a more responsive, efficient contact center that meets customers where they are, whether they prefer speaking, chatting, or sending emails.

Use case overview

AnyCompany has invested heavily in its email infrastructure over the years, developing a robust and centralized email server that manages both internal and external email traffic. This unified system has become an integral part of their operations, streamlining communication across departments and with customers. AnyCompany has also established a public support email address that has gained significant recognition and trust among their customer base. This email address, featured prominently in all their product documentation, marketing materials, and customer communications, has become a cornerstone of their brand identity in customer support.

Now, AnyCompany faces the challenge of enhancing their customer support process by implementing an automated acknowledgment system for incoming support emails. However, they want to maintain their existing email setup due to its deep integration with internal workflows and the substantial investment it represents. Additionally, preserving their well-known support email address is crucial to protect the brand equity they’ve built over years of customer interactions.

By integrating Amazon Connect with their current email server, AnyCompany can create a seamless solution that addresses these complex requirements. With this integration, customers can continue sending emails to the familiar public support address (for example, [email protected]), maintaining consistency in their customer experience. When new emails are received, Amazon Connect can trigger automated acknowledgment messages, providing immediate assurance to customers that their inquiries have been received and are being processed.

This approach offers multiple benefits. It improves customer satisfaction by providing prompt responses and reduces the volume of follow-up emails. It also preserves AnyCompany’s significant investment in their existing email infrastructure, so they can continue using the centralized system for both internal and external communications. Perhaps most importantly, it maintains the brand recognition associated with their long-standing support email address, so customers can continue to use the contact point they’ve grown to trust over the years.

Solution overview

This post provides a contact center email solution with the following benefits:

  • Customers continue to send emails to your custom domain
  • Emails are routed through your primary email server to Amazon Connect (via Amazon SES)
  • Agents receive and respond to emails within the Amazon Connect agent workspace
  • Customers receive agent responses from your custom domain (via Amazon SES)

This solution involves three main steps:

  1. Configure Microsoft 365 or Google Workspace to route emails to Amazon Connect
  2. Verify your custom domain in Amazon SES to enable sending emails
  3. Onboard your email address in Amazon Connect to handle customer communications

Prerequisites

Before you begin, make sure you have the following prerequisites:

  • Administrative access to modify your custom email domain’s DNS settings.
    • Note – modifying MX records can impact email receiving for your primary domain (example.com). It is highly recommended to create a subdomain (for example, testing.example.com) for testing to avoid impacting any email receiving on your primary domain or use the provided email domain that comes with the Amazon Connect instance (for example, @<instance-alias>.email.connect.aws).
  • Administrative access to modify your Microsoft 365 Exchange Online or Google Workspace Gmail configuration.
  • AWS Identity and Access Management (IAM) access to Amazon SES and Amazon Connect on your AWS Management Console.
  • An existing user in Amazon Connect with access to managing email flows, channels, and routing. For example, CallCenterManager can be used to perform actions related to user management, metrics, and routing. Or you can create a user with a custom scoped-down security profile.
  • When setting up Amazon Simple Email Service for use with Amazon Connect your SES account will be in the sandbox mode, which works well for testing. You will need to request Amazon SES production access before you can fully utilize Amazon SES with Amazon Connect.

Configure Amazon SES

Part of creating a domain identity is configuring its DKIM-based verification. DomainKeys Identified Mail (DKIM) is an email authentication method that Amazon SES uses to verify domain ownership, and receiving mail servers use to validate email authenticity. To learn more, refer to Creating a domain identity.

Complete the following steps to configure your domain identity in Amazon SES:

  1. Open your AWS console and choose the AWS Region where your Amazon Connect instance is deployed.
  2. On the Amazon SES console, choose Identities under Configuration in the navigation pane.
  3. Choose Create identity and provide the following information:
    1. Choose Domain as the identity type.
    2. Enter your custom email domain name.
    3. Enable Use a custom MAIL FROM domain.
    4. Set MAIL FROM domain to feedback.
    5. Set Behavior on MX failure to Use default MAIL FROM domain.
  4. For DKIM verification, provide the following information (unless instructed otherwise):
    1. Choose Easy DKIM under Advanced DKIM settings.
    2. Choose RSA_2048_BIT for DKIM signing key length.
    3. Enable Publish DNS records to Route53 if applicable.
    4. Enable DKIM signatures.
  5. Choose Create identity.

Amazon SES will generate DNS records needed to verify the domain, including:

  • DKIM CNAME records
  • Custom MAIL FROM domain MX and TXT records
  • DMARC TXT records

If the domain is hosted in Route 53, Amazon SES provides an option to automatically Publish DNS records to Route53. When your domain is hosted with Route 53, SES domain verification typically completes within a few minutes. You will see the status Verification pending, followed by Verified.

If the domain is not hosted in Route53, Amazon SES will present individual copy buttons per record as well as a CSV file download option. These records must be added to your DNS so Amazon SES can verify the domain.

After your externally managed DNS has been updated, return to the Amazon SES console and confirm that the identity status has changed to Verified. The time to complete this step is highly variable. You can choose to configure DKIM by using either Easy DKIM or Bring Your Own DKIM (BYODKIM), and depending on your choice, you will have to configure the signing key length of the private key. For detailed steps, refer to Creating a domain identity.

When you first setup Amazon SES, your account is placed in the SES sandbox which we use to prevent unauthorized or unintended sending. While in sandbox mode, you can only send mail to email addresses and domains you verify. After you receive Amazon SES production access for your custom domain, you can send and receive email to and from a valid email address without verification. For more information about the Amazon SES sandbox, refer to Request production access (Moving out of the Amazon SES sandbox).

For setup and testing purposes, complete the following steps to configure an email identity in Amazon SES:

  1. On the Amazon SES console, choose Identities under Configuration in the navigation pane.
  2. Choose Create identity and choose Email Address.
  3. Enter your work email address (you will need access to the inbox to verify ownership). This is the email address that Amazon Connect and Amazon SES will use to send and receive email while your SES account is in the sandbox.
  4. Click Create identity.
  5. Check your email inbox and click the link to verify this is an email address you control.

Configure Amazon Connect

Complete the following steps to configure Amazon Connect:

  1. On the Amazon Connect console, open your instance by clicking on Instance alias.
  2. Under Channels and communications, choose Email.
  3. Choose Add domain.
  4. Choose the domain you verified in Amazon SES.
  5. In your instance, choose Email addresses under Channels.
  6. Choose Create email address and provide the following information:
    1. Create an email address with the same name and domain as the inbound address your customers will use ([email protected]).
    2. Provide a friendly sender name that will appear in customer inboxes.
    3. Create a new flow or attach an existing flow to the custom domain email address (this flow will route inbound emails).
    4. Choose Save.
  7. Configure Outbound email configuration in your outbound queue:
    1. For Default email address, provide the email address you created earlier.
    2. For Outbound email flow, provide the email flow for outbound emails (this flow will route outbound emails).
    3. Choose Save.

Configure Microsoft 365 Exchange or Google Workspace

In this section, we provide step-by-step guidance to configure your primary email service with a rule (Microsoft) or route (Google) that sends inbound email addressed to a specific address(s) to Amazon Connect.

Option A: Microsoft 365 Exchange configuration

Complete the following steps to configure Microsoft 365 Exchange:

  1. Find the email receiving endpoint for your Region. For example, inbound-smtp.us-west-2.amazonaws.com.
  2. Create a connector in Exchange:
    1. Navigate to the Exchange admin center.
    2. Under Mail flow, choose Connectors.
    3. Choose Add a connector.
    4. Set Connection from to Office 365
    5. Set Connection to to Your organization’s email server.
    6. Choose Next.
    7. Name the connector to identify the Region.
    8. Choose Next.
    9. For Use of connector, select Only when I have a transport rule set up that redirects messages to this connector.
    10. For Routing, enter the SES email receiving endpoint.
    11. Choose the plus sign, then choose Next.
    12. For Security restrictions, select Always use Transport Layer Security (TLS) to secure the connection.
    13. Follow your internal process for this step. In this example, we select Any digital certificate, including self-signed certificates.
    14. Choose Next.
    15. For Validation email, enter a valid email address currently used in your Amazon Connect instance.
    16. Choose the plus sign, then choose Next.
      This will send a test email address to that email address. No action needs to be taken with the test email. You should see the email validated and receive the validation test email in the agent workspace.
    17. Review your connector configuration and choose Create connector.

Validate that the connector status is set to On, then proceed to the next steps.

  1. Create a mail flow rule to send your inbound email to Amazon Connect:
    1. Under Mail flow, choose Rules.
    2. Choose Add a rule¸ then choose Create a new rule.
    3. Name the rule.
    4. Set conditions to apply if the recipient is this person and choose the email address for Amazon Connect.
    5. Set the action to Redirect the message to and the following connector and choose your new connector.
    6. Choose Next.
    7. Set Rule mode to Enforce.
    8. Activate the rule immediately by specifying the current time.
    9. Set Match sender address in message to Header or envelope.
    10. Choose Next.
    11. Review your rule configuration and choose Finish.

After you confirm your rule is enabled, you can test your configuration.

Option B: Google Workspace Gmail configuration

Complete the following steps to configure with Google Workspace:

  1. Log into your Google Workspace admin account.
  2. Navigate to Gmail.
  3. Choose Hosts and choose Add Route.
  4. Configure the mail route:
    1. Provide a name indicating the Region.
    2. Enter the SES email receiving endpoint and port 25.
    3. Enable security options:
      1. Select Require mail to be transmitted via a secure (TLS) connection.
      2. Select Require CA signed certificate.
      3. Select Validate certificate hostname.
    4. Choose Test TLS connection.
    5. If the connection is successful, choose SAVE.
  5. Configure default routing:
    1. Navigate to Default routing and choose Configure.
    2. Enter the email address that should route to Amazon Connect.
    3. Change the route to the mail route you created.
    4. Select Perform this action on non-recognized and recognized addresses.
    5. Save and confirm the route is enabled.

Test your configuration

After you have completed the appropriate steps above, test both inbound (to Amazon Connect) and outbound (from Amazon Connect) message-flows.

Test inbound (to Amazon Connect)

Test your inbound configuration:

  1. Open your email application.
  2. Send a test email to the email address you configured to be sent to Amazon Connect.
  3. In the Amazon Connect agent workspace, accept the incoming email.
  4. Confirm the email received in your agent workspace matches the email address you configured to be sent to Amazon Connect.

Test outbound (to external recipient from Amazon Connect)

Test your outbound configuration:

  1. Log in to your Amazon Connect instance.
  2. Choose New email.
  3. Enter To address (use your work email address), Subject & Body.
    1. Alternatively, To address (use your work email address) and choose a Template.
  4. Click Send.
  5. Check your work email inbox for the message. Verify the email’s From address is the email address you configured to be sent from Amazon Connect.

Request Amazon SES production access

Once you have successfully tested email receiving and sending within Amazon Connect, request Amazon SES production access (see Moving out of the Amazon SES sandbox) in the Amazon SES Developer Guide. Importantly, you will not be able to send email from your domain via Amazon Connect until your account is removed from the SES sandbox.

Conclusion

In this post, we showed how to configure Amazon Connect to handle emails using your custom domain through Microsoft 365 or Google Workspace. This setup provides a seamless email experience for your customers while giving your agents the powerful tools available in the Amazon Connect agent workspace.

To get started with Amazon Connect Email, refer to the Amazon Connect Administrator Guide. For hands-on learners, the Amazon Connect Email Enablement Workshop provides guidance and exercises to configure Amazon Connect Email, set up email queues and routing rules, and discusses best practices for delivering exceptional email-based customer service.

Additional resources

For additional guidance and information, refer to the following resources:


About the authors

Improve email deliverability with tenant management in Amazon SES

Post Syndicated from Satya S Tripathy original https://aws.amazon.com/blogs/messaging-and-targeting/improve-email-deliverability-with-tenant-management-in-amazon-ses/

Amazon Simple Email Service (Amazon SES) serves diverse industries—from ecommerce services to financial institutions to marketing technology product providers—helping organizations manage their email communication needs. Many businesses face the challenge of sending emails not just for themselves, but on behalf of their downstream customers or across various business divisions. These scenarios, commonly known as multi-tenant email sending practices, require careful architectural consideration. For example, a marketing service might need to send promotional emails for hundreds of retail clients, or an enterprise IT team might manage email communications across multiple business units (BUs). These clients and BUs are also identified as tenants. To successfully implement multi-tenancy in Amazon SES, customers usually develop an architecture pattern within Amazon SES that accomplishes critical objectives to efficiently handle the email sending needs of thousands of downstream tenants while maintaining isolated email sending reputations for each tenant. This isolation is crucial for protecting each customer’s deliverability metrics and to prevent issues with one tenant from impacting others.

Amazon SES customers can achieve multi-tenancy through isolated configuration sets for sending emails, but traditionally, reputation management and enforcement occur at the account level. To address this, Amazon SES now offers tenant management capabilities that enable tenant isolation and reputation management at the individual tenant level. This new feature provides greater control and flexibility for organizations managing multiple tenants within a single Amazon SES account, allowing each tenant to maintain its own sending reputation independently.

In this post, you will learn about the newly released tenant management feature that helps customers manage individual tenant onboardings and manage their reputations in isolation. This feature helps organizations create and manage up to 10,000 isolated tenants within a single AWS account (which can be increased 300,000 on explicit request), each with independent configurations and reputation metrics. You will discover how these capabilities maintain email deliverability through automated tenant-level controls, real-time monitoring, and customizable sending policies.

Whether you’re a service provider sending emails on behalf of multiple customers or an enterprise coordinating various BUs or lines of business (LOBs), this new feature offers sophisticated workflows to identify reputation-based findings and pause individual tenant sending to protect other tenants’ reputations. These enhancements are available globally across AWS Regions where Amazon SES is offered, representing a significant advancement in email deliverability management at scale.

Use cases

Following use cases can easily achieved though Amazon SES tenant management feature.

  • Onboard multiple brands from different BUs with different domains
  • Separate marketing and transaction tenants
  • Support independent software vendor (ISV) customers’ requirement to segregate email sending reputation of their customers
  • Domain management using configuration sets.
  • Track individual customers’ email sending reputations and control their email sending processes

Multi-tenant email operation challenges

Businesses rely on email as a critical communication channel. However, managing email operations for multiple tenants (customers or business units) has historically presented significant challenges such as:

  • Lack of isolation: Without proper tenant isolation, poor sending practices by one tenant could negatively impact the email deliverability of others, potentially jeopardizing your entire email sending operation.
  • Limited visibility: Understanding per-tenant email performance metrics and managing reputation independently has been difficult, if not impossible.
  • Scalability constraints: Many organizations struggle to scale their email operations because of account-level limitations on resources such as identities and configuration sets.
  • Inadequate control: The inability to set tenant-specific limits and configurations has made it challenging to prevent individual tenants from impacting others or exceeding allocated resources.
  • Complex monitoring: Building custom solutions for monitoring tenant activity often leads to inconsistent and inefficient workflows.

Benefits of tenant management capability

The Amazon SES tenant management feature provides a comprehensive solution for organizations managing email sending at scale on behalf of their customers or LOBs (called tenants). This capability is particularly valuable for software as a service (SaaS) providers, email service providers, and enterprises managing email operations across multiple clients or departments while separating tenants from each other.

Through tenant management, organizations can effectively manage email streams and reputation independently and maintain oversight of their various email operations. This new functionality transforms how organizations use Amazon SES, enabling them to handle complex, multi-faceted email operations with greater control and visibility at the tenant level with the following key capabilities.

  • Isolate tenant resources and reputation: Tenant management provides dedicated resource isolation that protects your email reputation across different customers and lines of business. Each tenant (customers or LOBs) will have their own dedicated set of resources such as email sending IPs, domain, and identifiers in DomainKeys Identified Mail (DKIM) signed headers, which are observed by mailbox providers within your Amazon SES account. Tenant management delivers granular control over resource allocation. You can assign tenant-specific or shared sending identities based on your organizational requirements. Each tenant can receive dedicated SMTP or API credentials that provide secure access to their allocated resources. You can configure tenant-level IP pools that separate sending traffic and maintain distinct reputation profiles for each tenant. You can use tenant management to manage tenant-specific configuration sets that define how emails are processed and tracked for each tenant. You can associate email templates with specific tenants, confirms that branded communications remain properly segmented and controlled. This isolation helps ensure that one tenant’s actions cannot affect the reputation or performance of other tenants. When a tenant experiences delivery issues or reputation problems, these challenges remain contained within their dedicated resources. This approach maintains fairness across all tenants and establishes clear individual accountability for email practices.
  • Monitor tenant-specific metrics in real time: You can access specific reputation metrics for each tenant, including raw bounce rates and complaint rates that directly impact sender reputation. You can use this system to set up tenant-level event destinations though the respective configuration set mapped to the tenant for detailed tracking and analysis. With this, you gain access to detailed tenant-level events that track performance, engagement, and compliance metrics for each tenant individually. You can also establish automated enforcement policies based on configurable thresholds that align with your business requirements. When tenant reputation findings are detected or when tenant status changes occur, you can receive real-time alerts through Amazon EventBridge.
  • Scale to hundreds of thousands of tenants: The system is designed to handle massive scale (starting at 10 thousand tenants per account and can increase to as many as 300 thousand tenants), allowing you to grow your business or expand your email operations without worrying about infrastructure limitations. Whether you’re managing dozens or hundreds of thousands of tenants, the system will adapt to your needs.
  • Automate tenant management workflows: You can set up automated processes for onboarding new tenants, applying policies, and managing tenant lifecycles. With this system, you can use API and console interfaces to create, modify, and delete tenants and have the flexibility to pause or resume sending capabilities as required. This automation reduces manual overhead for consistent application of your email sending standards across all tenants.
  • Take targeted enforcement actions to maintain high deliverability: If issues arise with a specific tenant, you can take precise actions—such as suspending sending privileges or applying stricter reputation policies—without affecting other tenants. This capability helps maintain overall high deliverability rates for your entire operation.

These features collectively represent an advancement in email management capabilities, so organizations can offer more sophisticated, scalable, and reliable email services to their clients or internal departments while maintaining strict control over reputation and compliance.

How tenant management works

You can use the tenant management feature from Amazon SES to segment your email sending operations effectively. You can use the system to create multiple tenants within a single Amazon SES account, with each tenant having its own dedicated resources. These resources include essential components such as sending identities, SMTP credentials, configuration sets, and dedicated IP pools. What makes this architecture particularly flexible is the ability to share common resources across tenants, such as IP pools and configuration sets, enabling optimal resource utilization while maintaining operational separation. The following diagram illustrates the preceding information in detail.

Prerequisites

To get started with tenant management, you need:

  • An AWS account
  • Verified sending identities within Amazon SES (domains or email addresses)
  • Configuration sets for email settings
  • A clear understanding of your tenant structure based on your business requirements

How to set up tenant management and its key considerations

Setting up a multi-tenant system in Amazon SES requires careful configuration of three key components: IP pools, domain verification, and configuration sets. By following the set-up procedure, each tenant will have isolated resources, proper tracking, and monitoring capabilities. Using the AWS Management Console for Amazon SES or the Amazon SES APIs, you can create a robust email sending infrastructure that maintains high deliverability while keeping each tenant’s reputation separate.

IP pool configuration

IP pool configuration is a fundamental step to send email communications using Amazon SES. Begin your multi-tenant setup by establishing dedicated IP pools or managed IP pools for each customer though a configuration set. First, access the Amazon SES console and navigate to the Dedicated IP pools section. Create a new Standard dedicated IP pool, giving it a name that clearly identifies the customer. Through AWS Support, request the specific number of IP addresses needed based on your customer’s sending volume—typically one IP per 50,000 daily emails. After the IPs are provisioned, assign them to the appropriate pool. Then, map the IP pool with the configuration set mapped to the tenant. For IP warm-up, you have two options: enable the automatic warm-up schedule, which gradually increases sending volume over 45 days, or disable it to implement your own custom warm-up plan. Monitor the warm-up progress closely to help ensure optimal delivery rates.

Domain verification process

After setting up the IP pool, proceed with domain verification to establish your customer’s sending identity. Navigate to the “verified Identities” (verified identities are the domains or email ids those you have already whitelisted with Amazon SES) section in the Amazon SES console and create a new domain identity using your customer’s domain name. Amazon SES will provide DKIM records that need to be added to the domain’s DNS settings. Work with your customer to implement these records correctly in their DNS configuration. The verification process typically takes 24–72 hours to complete. During this time, regularly check the verification status in the Amazon SES console to make sure the process completes successfully.

Authentication and authorization for tenants

In addition to restricting email sending to specific identities and configurations, you can restrict email sending permissions by tenant using AWS Identity and Access Management (IAM) user or role policies. The following policy demonstrates these restrictions by allowing emails only when the tenant Amazon Resource Name (ARN) is arn:aws:ses:us-east-1:111122223333:tenant/testTenant1/tn-e08a68010000a3e4c67bcd990910, the identity is arn:aws:ses:us-east-1:111122223333:identity/example.com and the configuration-set is arn:aws:ses:us-east-1:111122223333:configuration-set/testTenant1.

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Sid": "VisualEditor0",
      "Effect": "Allow",
      "Action": "ses:SendRawEmail",
      "Resource": [
        "arn:aws:ses:us-east-1:111122223333:identity/example.com",
        "arn:aws:ses:us-east-1:111122223333:configuration-set/TestTenant1"
      ],
  "Condition": 
{ "StringEquals": 
{ "ses:TenantName": "testTenant1" }
}
    }
  ]
}

Set up a configuration set

The final step involves creating and configuring the configuration set, which manages tracking and monitoring. Start by creating a new configuration set under configuration set section in the Amazon SES console, naming it to match your customer’s identification. Configure the custom tracking domain and enable appropriate tracking settings for opens and clicks. Link this configuration to the previously created IP pool. Next, set up event destinations to monitor email performance—this can include Amazon CloudWatch metrics, Amazon Data Firehose, or Amazon Simple Notification Service (Amazon SNS) topics. In CloudWatch, create alarms for critical metrics such as bounce rates (recommended threshold: 5%) and complaint rates (recommended threshold: 0.1%). Set up notification systems to alert your team when these thresholds are breached, so you can quickly respond to any delivery issues.

Sample CLI commands

To start using tenant management, you can use the console, AWS Command Line Interface (AWS CLI), or AWS SDKs. The following are basic examples of creating and configuring a tenant using the AWS CLI:

Following states a life cycle of the tenant management procedure starting from creating a tenant to deleting it in case you want to remove the tenant. Make sure that you are using AWS CLI version to 2.28.0 or later. See AWS CLI install and update instructions if necessary.

Create a new tenant

aws sesv2 create-tenant --tenant-name testTenant1 --region us-east-1
Note that “-–region” value is optional

Assign a sending identity to the tenant (domain or email ID)

aws sesv2 create-tenant-resource-association --tenant-name testTenant1 --resource-arn arn:aws:ses:us-east-1:111122223333:identity/example.com

Add a configuration set to the tenant

aws sesv2 create-tenant-resource-association --tenant-name testTenant1 --resource-arn arn:aws:ses:us-east-1:111122223333:configuration-set/test1

The assumption here is that the selected configuration set already has an IP-Pool associated.

Get tenant information through get-tenants or list-tenants

aws sesv2 get-tenant --tenant-name testTenant1 --region us-east-1 

aws sesv2 list-tenants --region us-east-1 <List all the tenants with their ARN>

You can use get-tenant or List-tenants to get information about a specific tenant, including the tenant’s name, ID, ARN, creation timestamp, tags, and sending status or list-tenants to list all tenants associated with your account

List resources of a tenant

aws sesv2 list-tenant-resources --tenant-name testTenant1

Send email using tenant

aws sesv2 send-email --from-email-address "[email protected]" --destination "[email protected] " --configuration-set-name test1   --content '{"Simple":{"Subject":{"Data":"Your email subject","Charset":"UTF-8"},"Body":{"Text":{"Data":"This is the plain text version.","Charset":"UTF-8"},"Html":{"Data":"<html><body><h1>This is the HTML version</h1><p>With formatted content.</p></body></html>","Charset":"UTF-8"}}}}' --tenant-name testTenant1 

To change the reputation policy from standard to strict (Standard policy is applied by default)

aws sesv2 update-reputation-entity-policy --reputation-entity-type RESOURCE --reputation-entity-reference arn:aws:ses:us-east-1: 111122223333:tenant/ testTenant1/tn-145f7885b000074362bfa074ec4e1 --reputation-entity-policy arn:aws:ses:us-east-1:aws:reputation-policy/strict  

Disable sending for a tenant (to temporarily disable or pause a tenant)

aws sesv2 update-reputation-entity-customer-managed-status  —reputation-entity-type RESOURCE —reputation-entity-reference arn:aws:ses:us-east-1:111122223333:tenant/testTenant1/tn-145f7885b000074362bfa074ec4e1 —sending-status DISABLED

Delete the tenant (remove the tenant completely from the Amazon SES account)

aws sesv2 delete-tenant --tenant-name testTenant1

Send emails using SMTP

The X-SES-TENANT header is utilized by AWS to manage emails across multiple tenants. You can specify the tenant name by including it in the X-SES-TENANT field. This approach allows for better organization and routing of emails based on tenant information. To implement this, you can add the X-SES-TENANT header when sending emails using SMTP. The following Python code demonstrates how to include this header in your email sending process::

<Pseudo code>
import smtplib
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart

def send_email(smtp_server, port, username, password, from_email, to_email, subject, body, config_set=None):
    msg = MIMEMultipart()
    msg['From'] = from_email
    msg['To'] = to_email
    msg['Subject'] = subject
    msg['X-SES-TENANT'] = 'test1'
    if config_set:
        msg['X-SES-CONFIGURATION-SET'] = config_set
    msg.attach(MIMEText(body, 'plain'))

    with smtplib.SMTP(smtp_server, port) as server:
        server.starttls()
        server.login(username, password)
        server.send_message(msg)

# Example usage:
send_email('email-smtp.us-east-1.amazonaws.com', 587, 'YOUR_SMTP_USERNAME', 'YOUR_SMTP_PASSWORD','[email protected]', '[email protected]', 'Test Subject', 'Hello World', 'test1')

Email event feedback loop management for tenants

Receiving email events or using a feedback loop is important to monitor the email sending practices followed by the tenants. Tenant management provides reputation management capabilities for multi-tenant environments, so organizations can maintain granular control over email sending practices across their tenant base. You can automatically monitor and enforce reputation-based policies at the tenant level, so that problematic email sending behavior from one tenant doesn’t impact the deliverability of others. When reputation issues are detected, Amazon SES can automatically pause sending for the affected tenant while allowing other tenants to continue their email operations unimpeded.Organizations can now implement precise enforcement mechanisms through automated reputation findings that provide early detection of potential deliverability issues. Tenant isolation uses machine learning models and signal-based detection to identify problematic patterns in email sending behaviour. When issues are detected, Amazon SES automatically notifies the parent account and can trigger predetermined actions based on customizable thresholds. This granular control helps maintain strong deliverability rates across the entire email sending infrastructure while isolating and addressing issues at the tenant level.

Enforcement data and patterns

Unlike other communication channels that are governed by a patchwork of national laws, bulk email delivery is subject to requirements dictated by a handful of large inbox providers. Google, Yahoo, Microsoft, and several others set deliverability targets, leaving compliance up to the sender or service providers such as Amazon SES. Amazon SES, in turn, expects its direct customers, including multi-tenant providers, to monitor key signals of enforcement. If any of the tenants send rogue emails, Amazon SES expects the AWS customer to monitor key enforcement signals and take appropriate actions such as pausing or stopping the rogue tenants. Signals for enforcement and trust indicators are essential components of our email reputation management system. These signals are various data points and behaviours we monitor to assess the trustworthiness of email senders. Trust indicators, derived from these signals, provide a measure of a sender’s reputation and adherence to best practices. Amazon SES uses a combination of pre-send signals (such as account vetting and configuration) and post-send signals (including delivery success rates, bounce rates, and recipient engagement) to calculate reputation findings. These findings then inform automated enforcement actions and manual reviews, helping to ensure that our service maintains high deliverability standards while protecting recipients from unwanted or malicious emails. By continuously refining our signal analysis and enforcement processes, we strive to create a reliable and secure email ecosystem for all users.

Administrating tenant isolation and reputation management

When managing multiple tenants sending email through your SES account, you’ll want to monitor sending behaviour and reputation. Amazon SES provides a comprehensive monitoring system through reputation findings, which alert you when tenants exhibit concerning sending patterns. These findings appear in your dashboard and are delivered as events through Amazon EventBridge default event bus, letting you know immediately when issues arise.

As an email deferability administrator, your daily monitoring routine needs to include reviewing the tenant management dashboard where you can see all your tenants’ status at a glance. Pay particular attention to any reputation findings, which come in two levels—low and high severity. These findings indicate when tenants exceed acceptable thresholds for metrics like bounce rates or complaint rates. You can configure reputation policies to automatically pause tenant sending when these thresholds are breached, with options for standard enforcement (pausing on high severity findings) or strict enforcement (pausing on low severity findings).

When a tenant is paused, either automatically or manually, you’ll need to investigate the cause. The reputation findings provide detailed information about what triggered the pause, such as elevated bounce rates or complaint rates. After addressing the underlying issues with the tenant, you can reinstate their sending capabilities. During reinstatement, the tenant can continue sending while you monitor their metrics to verify that they return to healthy levels. After their metrics improve, the tenant will automatically transition back to a normal enabled status.

Available metrics and data points

These core reputation metrics are released by Amazon SES and can be routed to EventBridge. The event feedback loop will contain the tenant name and ID to enable tracking of tenant-specific bounce rates

  • Complaint rates per tenant
  • Third-party specific complaint rates
  • Spamhaus IP listing status
  • Email volume pattern

For ongoing management, you have full control over tenant resources and configurations. You can assign or remove sending identities and configuration sets as needed, adjust reputation policies, and manually pause sending if you observe concerning patterns. By using this combination of automated monitoring, clear reputation signals, and flexible management tools, you can maintain control over your tenants while preventing individual tenant issues from affecting your overall account reputation. The key is to stay proactive in monitoring the dashboard and reputation findings, and to act quickly when issues arise.

Conclusion

We’re excited to see how our customers will use the tenant management feature to transform their email operations, boost efficiency, and create better experiences for their users. To get started with tenant isolation simply visit the Amazon SES console or see Tenants in the Amazon SES Developer Guide. You can find details about pricing on the Amazon SES pricing page. We’re committed to improving tenant isolation and management based on your feedback and needs, and we look forward to bringing you even more powerful and flexible email management capabilities in the future. Start exploring multi-tenant management today with Amazon SES.


About the authors