Tag Archives: Amazon GameLift

AWS Weekly Roundup: Welcome DuckLabs to the team, Agentic Resource Discovery (ARD), and more (August 31, 2026)

Post Syndicated from Daniel Abib original https://aws.amazon.com/blogs/aws/aws-weekly-roundup-welcome-ducklabs-to-the-team-agentic-resource-discovery-ard-and-more-august-31-2026/

The news that interested me the most last week was the DuckLabs acquisition. AWS has signed a definitive agreement to acquire DuckLabs, the Amsterdam-based company behind DuckDB, the popular open source analytical database that runs in-process and executes SQL directly against files like Parquet, CSV, and JSON. DuckDB stays open source under its independent foundation and the MIT license, and over time AWS plans to combine its speed at everyday queries with the enterprise scale of services like Amazon S3, Amazon Redshift, and Amazon Athena.

Co-founded by Hannes Mühleisen and Mark Raasveldt, DuckDB runs locally or on Amazon S3, which makes it remarkably fast for the everyday queries (a terabyte or less) that make up the bulk of real-world analytics. It also happens to pair beautifully with AI agents, which “poke” and experiment their way through data much like humans do. The co-founders will continue leading its technical direction while AWS combines DuckDB’s speed with analytics services like Amazon EMR, AWS Glue, and Amazon SageMaker. For the bigger picture on why this matters, Andy Warfield, Vice President and Distinguished Engineer shared his thoughts on the post DuckDB and the changing physics of analytics on All Things Distributed.

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:

  • Amazon ECS now automatically detects and recovers container instances that lose agent connectivity – Amazon ECS now continuously monitors agent connectivity to the control plane and surfaces a new AGENT_CONNECTIVITY health event across AWS Fargate, Amazon ECS Managed Instances, and Amazon ECS on EC2. On Fargate and Managed Instances, ECS handles recovery automatically, draining tasks, launching replacements, and deregistering the impaired instance. On EC2, you can wire the event into your own workflow. Available at no additional cost in all AWS Commercial and AWS GovCloud (US) Regions.
  • AWS Lambda introduces public preview runtimes, starting with Node.js 26 and Python 3.15 – You can now test upcoming Lambda runtimes before they reach general availability. Preview runtimes use the same identifier as the eventual GA version, so your functions graduate automatically with no action required. Third-party tools and deployment frameworks can also validate compatibility ahead of GA. Not meant for production yet (breaking changes are possible), but a great way to get ahead of your next upgrade. Available in all AWS commercial, AWS GovCloud (US), and China Regions.
  • AWS IoT Core adds a native InfluxDB rule action – You can now route time-series data from your IoT devices straight into InfluxDB (Amazon Timestream-managed or self-hosted) without writing custom code or standing up an intermediate service. IoT Core formats data into InfluxDB’s line protocol and supports device-side and server-side batching. Available in all AWS Regions where Amazon Timestream for InfluxDB is offered.
  • Amazon GameLift Servers now includes enhanced DDoS protection – Your game servers now get automatic protection against network and transport layer (layers 3 and 4) DDoS attacks – UDP reflection, SYN floods, and similar vectors – with nothing to enable or opt into. Built on top of AWS Shield Standard with gaming-optimized traffic shaping, it turns on the moment your servers start running (Server SDK 5) at no extra cost. It’s available in all supported GameLift Servers Regions except China (Beijing) and China (Ningxia).
  • Amazon SageMaker HyperPod expands support for Ray – You can now run Ray workloads on SageMaker HyperPod with built-in observability, resilient training, and accelerated inference. Create and manage Ray clusters from Amazon SageMaker Studio, attach JupyterLab or your local IDE so a multi-node cluster behaves like a local dev environment, and get auto-provisioned Grafana dashboards. Node auto recovery, hung job detection, and tiered checkpointing keep large training runs healthy, while Ray Serve adds a tiered KV cache for inference. Your existing open source Ray code runs unchanged. Available for HyperPod clusters orchestrated by Amazon EKS.

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:

  • Happy 20th birthday, Amazon EC2! – Amazon EC2 turns 20. Channy Yun looks back at how EC2 grew from a single m1.small instance type in one Region to more than 1,200 instance types across 39 Regions, along with the custom silicon journey from the first Graviton to Graviton5 and Trainium3. A fun and worthwhile read on the service that still underpins so much of AWS – including Amazon ECS, Amazon EKS, AWS Lambda, Amazon SageMaker, and Amazon Bedrock.
  • Agentic Resource Discovery (ARD): an open specification for agent discovery – As organizations scale up agents, tools, and MCP servers, those resources end up scattered across clouds, on-premises infrastructure, and SaaS platforms – each with its own registry and metadata. ARD is a new open specification (Apache 2.0) that defines a common way to describe and discover agentic resources, so publishers “describe once” and consumers “discover everywhere” – think DNS, but for agents. AWS contributed feedback but doesn’t own the spec, and it complements the AWS Agent Registry by letting you federate across catalogs without migrating.
  • Get started with the Agent Toolkit for AWS in the AWS CLI – A single AWS CLI command (aws configure agent-toolkit) now equips AI coding agents like Kiro, Claude Code, Codex, and Cursor with curated, up-to-date AWS knowledge and a secure connection to thousands of AWS APIs through the AWS MCP Server. If you build with an AI coding assistant, this helps it choose the right services, use modern APIs, and follow security best practices – so it gets AWS code right more often the first time.

Upcoming AWS events
Check your calendar and sign up for upcoming AWS events:

  • AWS Summits – Free in-person events where builders come together to learn, connect, and explore the latest in cloud and AI. Upcoming stops include Zurich (September 2), São Paulo (September 3), Tel Aviv (September 10), and Dubai (September 30). Can’t attend in person? You can stream sessions through the Global Livestream and On-Demand Hub. I’ll be presenting two sessions on generative AI and Amazon Bedrock at the São Paulo Summit – if you’re there, come say hello.
  • AWS Community Days – Community-led conferences where content is planned, sourced, and delivered by community leaders. Upcoming events include JAWS SONIC 2026 in Tokyo (September 5) and Warsaw, Poland (September 8).

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

This post is part of our Weekly Roundup series. Check back each week for a quick roundup of interesting news and announcements from AWS!

AWS Weekly Roundup: NY Summit recap, Local Zone in Hanoi, Grok 4.3 in Bedrock, price reductions, and more (June 22, 2026)

Post Syndicated from Channy Yun (윤석찬) original https://aws.amazon.com/blogs/aws/aws-weekly-roundup-ny-summit-recap-local-zone-in-hanoi-grok-4-3-in-bedrock-price-reductions-and-more-june-22-2026/

Last week AWS Summit New York City brought together thousands of customers, partners, and builders for a free, one-day event showcasing the latest in cloud and AI innovation. Dr. Swami Sivasubramanian, VP of Agentic AI at AWS unveiled a stack of AI launches in his keynote, all built around one thesis: agents that compound value over time.

  • Agents for working – You can launch autonomous agents and access a smarter activity feed with new Amazon Quick features, which now let you create and run multi-step agents directly in the desktop app and consolidates email, Slack, calendar, and tasks into a single prioritized view with personalized rules.
  • Agents for securing – You can shift from reactive to proactive security with AWS Continuum, a new AI-native security service that reasons, validates, and acts at machine speed across the full code vulnerability lifecycle. AWS Security Agent (now part of AWS Continuum) adds new features: threat modeling; pull request code scanning with remediation across major Git platforms; and IDE integrations via Kiro power, Claude Code plugin, and MCP.
  • Agents for building – You can write, ship, and modernize code in one continuous loop with Kiro, AWS DevOps Agent, and AWS Transform. Kiro introduces a native iOS app; AWS DevOps Agent adds release management capabilities to assess code changes before production; and AWS Transform continuous modernization reduces tech debt autonomously.
  • Agents customers create – You can go from agent idea to production in minutes with Amazon Bedrock AgentCore, which now includes a GA harness for infrastructure and orchestration, Web Search, Managed Knowledge Base, policy integrations with Guardrails, and the new AWS Context service for mapping organizational data relationships.

To learn more, visit the Summit recap from our top announcements blog post and Amazon News post.

Last week’s launches
Here are last week’s launches that caught my attention:

  • AWS Local Zone in Hanoi, Vietnam  —This new Local Zone is one of the first AWS Local Zones in the Asia Pacific with support for Amazon S3 and Amazon EBS Local Snapshots, enabling customers to meet data residency requirements by storing and backing up data locally. To get started, enable the Hanoi Local Zone (ap-southeast-1-han-1a) from the Regions and Zones tab in the AWS Global View or by using the ModifyAvailabilityZoneGroup API.
  • AWS Blocks, an open-source TypeScript framework for application developers (preview) — AWS Blocks runs a fully functional local environment with Postgres, authentication, and real-time messaging, no AWS account required. When you’re ready to deploy, the same application code runs on production AWS services with zero changes, and you can drop into AWS CDK at any point for direct resource configuration.
  • Grok 4.3 from xAI in Amazon Bedrock —You can use the Grok 4.3 model on Amazon Bedrock, giving you even more choice as you build generative AI applications across reasoning, agentic, and enterprise workflows. Grok 4.3 runs on a new inference engine in Bedrock designed for price performance, with support for tool calling, structured output, and response streaming.
  • Amazon S3 annotations: attach rich, queryable context directly to your objects — Amazon S3 now lets you attach up to 1 GB of rich, mutable, and queryable context directly to your objects using annotations, purpose-built for AI agents and autonomous workflows that need to discover, understand, and act on data at scale without maintaining separate metadata systems.
  • Amazon ECS announces faster service auto scaling — Amazon ECS service auto scaling now detects and responds to load changes faster with support for high resolution (20-second) metrics and metric publishing optimizations. In AWS benchmarking tests, time to trigger scale-out improved from 363 seconds to 86 seconds (76% faster), and total time to scale and provision new tasks improved from 386 seconds to 109 seconds (72% faster).
  • Amazon EC2 G7 instances accelerated by NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs — AWS is the first major cloud provider to support NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs. G7 instances are accelerated by these GPUs with custom sixth-generation Intel Xeon Scalable processors, delivering up to 4.6x AI inference performance and up to 2.1x graphics performance compared to G6 instances.
  • Strands Agents introduces new capabilities — Strands is an open source toolkit for building production agents. You can now use better context management in Harness SDK, a new isolated execution environment with Strands Shell, and chaos testing and red teaming in Strands Evals.
  • AWS Management Console Private Access – You can access the AWS Console from VPCs without internet connectivity, allowing enterprises to manage their AWS infrastructure through the console while maintaining strict network security controls in air-gapped environments.
  • AWS Marketplace Storefront is now generally available – AWS Partners can create and deploy their own branded catalog of solutions and services on their website or application in hours. Channel Partners and Independent Software Vendors can now simplify how they manage their cloud marketplace business and make it easier for customers to discover and purchase their solutions from AWS Marketplace.
  • Palo Alto Networks (PANW) Advanced DNS Security on Amazon Route 53 Resolver DNS Firewall (preview) – You can now enforce DNS threat protections from Palo Alto Networks directly on Route 53 DNS Firewall rules, without deploying separate firewalls or modifying VPC configurations — by subscribing to PANW from the DNS Firewall console through the embedded AWS Marketplace widget.

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

Price reductions 
AWS continues to look for ways to increase performance and lower prices for our customers. I noticed a few such efforts last week, so I’d like to share them:

Learn more about AWS, browse and join upcoming AWS-led in-person and virtual events, startup events, and developer-focused events as well as AWS Summits and AWS Community Days. Join the AWS Builder Center to connect with builders, share solutions, and access content that supports your development.

That’s all for this week. Check back next Monday for another Weekly Roundup!

— Channy

AWS Weekly Roundup: Amazon Connect Health, Bedrock AgentCore Policy, GameDay Europe, and more (March 9, 2026)

Post Syndicated from Sébastien Stormacq original https://aws.amazon.com/blogs/aws/aws-weekly-roundup-amazon-connect-health-bedrock-agentcore-policy-gameday-europe-and-more-march-9-2026/

Fiti AWS Student Community Kenya!

Last week was an incredible whirlwind: a round of meetups, hands-on workshops, and career discussions across Kenya that culminated with the AWS Student Community Day at Meru University of Science and Technology, with keynotes from my colleagues Veliswa and Tiffany, and sessions on everything from GitOps to cloud-native engineering, and a whole lot of AI agent building.

JAWS Days 2026 is the largest AWS Community Day in the world, with over 1,500 attendees on March 7th. This event started with a keynote speech on building an AI-driven development team by Jeff Barr, and included over 100 technical and community experience sessions, lightning talks, and workshops such as Game Days, Builders Card Challenges, and networking parties.

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 Connect Health, Agentic AI Built for Healthcare — Amazon Connect Health is now generally available with five purpose-built AI agents for healthcare: patient verification, appointment management, patient insights, ambient documentation, and medical coding. All features are HIPAA-eligible and deployable within existing clinical workflows in days.
  • Policy in Amazon Bedrock AgentCore is now generally available — You can now use centralized, fine-grained controls for agent-tool interactions that operate outside your agent code. Security and compliance teams can define tool access and input validation rules using natural language that automatically converts to Cedar, the AWS open-source policy language.
  • Introducing OpenClaw on Amazon Lightsail to run your autonomous private AI agents — You can deploy a private AI assistant on your own cloud infrastructure with built-in security controls, sandboxed agent sessions, one-click HTTPS, and device pairing authentication. Amazon Bedrock serves as the default model provider, and you can connect to Slack, Telegram, WhatsApp, and Discord.
  • AWS announces pricing for VPC Encryption Controls — Starting March 1, 2026, VPC Encryption Controls transitions from free preview to a paid feature. You can audit and enforce encryption-in-transit of all traffic flows within and across VPCs in a region, with monitor mode to detect unencrypted traffic and enforce mode to prevent it.
  • Database Savings Plans now supports Amazon OpenSearch Service and Amazon Neptune Analytics — You can save up to 35% on eligible serverless and provisioned instance usage with a one-year commitment. Savings Plans automatically apply regardless of engine, instance family, size, or AWS Region.
  • AWS Elastic Beanstalk now offers AI-powered environment analysis — When your environment health is degraded, Elastic Beanstalk can now collect recent events, instance health, and logs and send them to Amazon Bedrock for analysis, providing step-by-step troubleshooting recommendations tailored to your environment’s current state.
  • AWS simplifies IAM role creation and setup in service workflows — You can now create and configure IAM roles directly within service workflows through a new in-console panel, without switching to the IAM console. The feature supports Amazon EC2, Lambda, EKS, ECS, Glue, CloudFormation, and more.
  • Accelerate Lambda durable functions development with new Kiro power — You can now build resilient, long-running multi-step applications and AI workflows faster with AI agent-assisted development in Kiro. The power dynamically loads guidance on replay models, step and wait operations, concurrent execution patterns, error handling, and deployment best practices.
  • Amazon GameLift Servers launches DDoS Protection — You can now protect session-based multiplayer games against DDoS attacks with a co-located relay network that authenticates client traffic using access tokens and enforces per-player traffic limits, at no additional cost to GameLift Servers customers.

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

From AWS community
Here are my personal favorite posts from AWS community and my colleagues:

  • I Built a Portable AI Memory Layer with MCP, AWS Bedrock, and a Chrome Extension — Learn how to build a persistent memory layer for AI agents using MCP and Amazon Bedrock, packaged as a Chrome extension that carries context across sessions and applications.
  • When the Model Is the Machine — Mike Chambers built an experimental app where an AI agent generates a complete, interactive web application at runtime from a single prompt — no codebase, no framework, no persistent state. A thought-provoking exploration of what happens when the model becomes the runtime.

Upcoming AWS events
Check your calendar and sign up for upcoming AWS events:

  • AWS Community GameDay Europe — Think you know AWS? Prove it at the AWS Community GameDay Europe on March 17, a gamified learning event where teams compete to solve real-world technical challenges using AWS services.
  • AWS at NVIDIA GTC 2026 — Join us at our AWS sessions, booths, demos, and ancillary events in NVIDIA GTC 2026 on March 16 – 19, 2026 in San Jose. You can receive 20% off event passes through AWS and request a 1:1 meeting at GTC.
  • AWS Summits — Join AWS Summits in 2026: free in-person events where you can explore emerging cloud and AI technologies, learn best practices, and network with industry peers and experts. Upcoming Summits include Paris (April 1), London (April 22), and Bengaluru (April 23–24).
  • AWS Community Days — Community-led conferences where content is planned, sourced, and delivered by community leaders. Upcoming events include Slovakia (March 11), Pune (March 21), and the AWSome Women Summit LATAM in Mexico City (March 28)

Browse here for upcoming AWS led in-person and virtual events, startup events, and developer-focused events.

That’s all for this week. Check back next Monday for another Weekly Roundup!

— seb

Scale and deliver game streaming experiences with Amazon GameLift Streams

Post Syndicated from Donnie Prakoso original https://aws.amazon.com/blogs/aws/scale-and-deliver-game-streaming-experiences-with-amazon-gamelift-streams/

Since 2016, game developers have been using Amazon GameLift to power games with dedicated, scalable server hosting capable of supporting 100M concurrent users (CCU) in a single game. Responding to customer requests for additional managed compute capabilities beyond game servers, we’re announcing Amazon GameLift Streams — a new capability in Amazon GameLift to help game publishers build and deliver global, direct-to-player game streaming experiences. As part of this announcement, existing capabilities in Amazon GameLift are now known as Amazon Gamelift Servers, continuing to serve hundreds of developers including industry leaders Ubisoft, Zynga, WB Games, and Meta.

Amazon GameLift Streams helps you deliver game streaming experiences at up to 1080p resolution and 60 frames per second across devices including iOS, Android, and PCs. In just a few clicks, you can deploy games built with a variety of 3D engines, without modifications, onto fully-managed cloud-based GPU instances and stream games through the AWS Network Backbone directly to any device with a web browser.

Amazon GameLift Streams helps you distribute your games direct-to-players, without having to invest millions of dollars in infrastructure and software development to build your own service. Players can start gaming in just a few seconds, without waiting for downloads or installs.

Here’s a quick look at Amazon GameLift Streams:

You can use the Amazon GameLift Streams SDK to integrate with your existing identity services, storefronts, game launchers, websites, or newly created experiences such as playable demos, and begin streaming to players. You can monitor active streams and usage from within the AWS console, and seamlessly scale your streaming infrastructure across multiple regions on the AWS global network to reach more players around the world with low-latency gameplay. Amazon GameLift Streams is the only solution that enables you to upload your game content onto fully-managed GPU instances in the cloud and start streaming in minutes, with little or no modification of your code.

Players can access AAA, AA, and indie games on PCs, phones, tablets, smart TVs, or any device with a WebRTC-enabled browser. Amazon GameLift Streams allows you to dynamically scale streaming capacity to match player demand, ensuring you only pay for what you need. You can choose from a selection of GPU instances that offer a range of price performance, and rely on the built-in security of AWS to protect your intellectual property.

Let’s get started
To begin using Amazon GameLift Streams, I need an existing Amazon GameLift Streams implementation. I prepare my game files by following the Amazon GameLift Streams documentation.

Then, I’ll upload my files to Amazon Simple Storage Service (Amazon S3). I can use the AWS Management Console or this AWS Command Line Interface (AWS CLI) command to upload my game files:

aws s3 sync my-game-folder s3://my-bucket/my-game-path

The next step is to create an Amazon GameLift Streams application. I navigate to the Amazon GameLift Streams console. This is how the new AWS GameLift Streams console looks:

On the Amazon GameLift Streams console, I choose Create application.

In the Runtime settings, I select the runtime environment for my game application.

Then, I need to select my S3 bucket and folder from the previous step, then set the path to my game’s main executable.

I also have the option to configure the automatic transfer of application-generated log files into a S3 bucket. After I’m done with this configuration, I choose Create application.

After my application setup is completed, I need to create a stream group, a collection of compute resources to run and stream the application. I navigate to Stream groups in the left navigation pane of the Amazon GameLift Streams console.

On this page, I define a description for my new stream group.

Here, I select the capabilities and pricing of my stream group. Since my application is using Microsoft Windows Server 2022 Base, I make sure to select one of the compatible stream classes.

Next, I need to link with the application I created in the previous step.

On the Configure stream settings page, I can configure additional locations for my stream group, bringing in additional capacity from other AWS Regions. There are two capacity options that I can choose, always-on capacity and on-demand capacity. The default capacity setting provides one streaming slot, which is sufficient for initial testing.

Then, I need to review my configuration and choose Create stream group.

With stream groups configured, I can test my game streaming. I navigate to the Test stream page on the console to launch my application as a stream. I select this stream group and select Choose.

On the next page, I can configure any command line arguments or environment variables to run my application. I don’t need any extra configurations and choose Test stream.

Then, I can see that my application is running as expected. I can also interact with my game. This test helps me verify that my game works properly in streaming mode and serves as an initial proof of concept.

After I’ve confirmed everything works, I can integrate the Web SDK into my own website. The Web SDK and AWS Software Development Kit (AWS SDK) with Amazon GameLift Streams APIs help me to embed game streams, similar to what I tested in the console, into any web page I manage.

Additional things to know

  • Availability – Amazon GameLift Streams is currently available in the following AWS Regions: US East (Ohio), US West (Oregon), Asia Pacific (Tokyo), Europe (Frankfurt). Additional streaming capacity can also be configured in US East (N. Virginia) and Europe (Ireland).
  • Supported operating systems – Amazon GameLift Streams supports games running on Windows, Linux, or Proton, offering easy onboarding and compatibility with game binaries. Learn more on Choosing a configuration in Amazon GameLift Streams documentation page.
  • Programmatic access – This new capability provides comprehensive tools including service APIs, client streaming SDKs, and AWS CLI for content packaging.

Now available
Explore how to streamline your game distribution using Amazon GameLift Streams. Learn more about getting started on the Amazon GameLift Streams page.

Happy streaming!

— Donnie

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AWS Week in Review: New Service for Generative AI and Amazon EC2 Trn1n, Inf2, and CodeWhisperer now GA – April 17, 2023

Post Syndicated from Antje Barth original https://aws.amazon.com/blogs/aws/aws-week-in-review-new-service-for-generative-ai-and-amazon-ec2-trn1n-inf2-and-codewhisperer-now-ga-april-17-2023/

I could almost title this blog post the “AWS AI/ML Week in Review.” This past week, we announced several new innovations and tools for building with generative AI on AWS. Let’s dive right into it.

Last Week’s Launches
Here are some launches that got my attention during the previous week:

Announcing Amazon Bedrock and Amazon Titan models – Amazon Bedrock is a new service to accelerate your development of generative AI applications using foundation models through an API without managing infrastructure. You can choose from a wide range of foundation models built by leading AI startups and Amazon. The new Amazon Titan foundation models are pre-trained on large datasets, making them powerful, general-purpose models. You can use them as-is or privately to customize them with your own data for a particular task without annotating large volumes of data. Amazon Bedrock is currently in limited preview. Sign up here to learn more.

Building with Generative AI on AWS

Amazon EC2 Trn1n and Inf2 instances are now generally available – Trn1n instances, powered by AWS Trainium accelerators, double the network bandwidth (compared to Trn1 instances) to 1,600 Gbps of Elastic Fabric Adapter (EFAv2). The increased bandwidth delivers even higher performance for training network-intensive generative AI models such as large language models (LLMs) and mixture of experts (MoE). Inf2 instances, powered by AWS Inferentia2 accelerators, deliver high performance at the lowest cost in Amazon EC2 for generative AI models, including LLMs and vision transformers. They are the first inference-optimized instances in Amazon EC2 to support scale-out distributed inference with ultra-high-speed connectivity between accelerators. Compared to Inf1 instances, Inf2 instances deliver up to 4x higher throughput and up to 10x lower latency. Check out my blog posts on Trn1 instances and Inf2 instances for more details.

Amazon CodeWhisperer, free for individual use, is now generally available – Amazon CodeWhisperer is an AI coding companion that generates real-time single-line or full-function code suggestions in your IDE to help you build applications faster. With GA, we introduce two tiers: CodeWhisperer Individual and CodeWhisperer Professional. CodeWhisperer Individual is free to use for generating code. You can sign up with an AWS Builder ID based on your email address. The Individual Tier provides code recommendations, reference tracking, and security scans. CodeWhisperer Professional—priced at $19 per user, per month—offers additional enterprise administration capabilities. Steve’s blog post has all the details.

Amazon GameLift adds support for Unreal Engine 5 – Amazon GameLift is a fully managed solution that allows you to manage and scale dedicated game servers for session-based multiplayer games. The latest version of the Amazon GameLift Server SDK 5.0 lets you integrate your Unreal 5-based game servers with the Amazon GameLift service. In addition, the latest Amazon GameLift Server SDK with Unreal 5 plugin is built to work with Amazon GameLift Anywhere so that you can test and iterate Unreal game builds faster and manage game sessions across any server hosting infrastructure. Check out the release notes to learn more.

Amazon Rekognition launches Face Liveness to deter fraud in facial verification – Face Liveness verifies that only real users, not bad actors using spoofs, can access your services. Amazon Rekognition Face Liveness analyzes a short selfie video to detect spoofs presented to the camera, such as printed photos, digital photos, digital videos, or 3D masks, as well as spoofs that bypass the camera, such as pre-recorded or deepfake videos. This AWS Machine Learning Blog post walks you through the details and shows how you can add Face Liveness to your web and mobile applications.

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

Other AWS News
Here are some additional news items and blog posts that you may find interesting:

Updates to the AWS Well-Architected Framework – The most recent content updates and improvements focus on providing expanded guidance across the AWS service portfolio to help you make more informed decisions when developing implementation plans. Services that were added or expanded in coverage include AWS Elastic Disaster Recovery, AWS Trusted Advisor, AWS Resilience Hub, AWS Config, AWS Security Hub, Amazon GuardDuty, AWS Organizations, AWS Control Tower, AWS Compute Optimizer, AWS Budgets, Amazon CodeWhisperer, and Amazon CodeGuru. This AWS Architecture Blog post has all the details.

Amazon releases largest dataset for training “pick and place” robots – In an effort to improve the performance of robots that pick, sort, and pack products in warehouses, Amazon has publicly released the largest dataset of images captured in an industrial product-sorting setting. Where the largest previous dataset of industrial images featured on the order of 100 objects, the Amazon dataset, called ARMBench, features more than 190,000 objects. Check out this Amazon Science Blog post to learn more.

AWS open-source news and updates – My colleague Ricardo writes this weekly open-source newsletter in which he highlights new open-source projects, tools, and demos from the AWS Community. Read edition #153 here.

Upcoming AWS Events
Check your calendars and sign up for these AWS events:

Build On AWS - Generative AI#BuildOn Generative AI – Join our weekly live Build On Generative AI Twitch show. Every Monday morning, 9:00 US PT, my colleagues Emily and Darko take a look at aspects of generative AI. They host developers, scientists, startup founders, and AI leaders and discuss how to build generative AI applications on AWS.

In today’s episode, Emily walks us through the latest AWS generative AI announcements. You can watch the video here.

Dot Net Developer Day.NET Developer Day – .NET Enterprise Developer Day EMEA 2023 (April 25) is a free, one-day virtual event providing enterprise developers with the most relevant information to swiftly and efficiently migrate and modernize their .NET applications and workloads on AWS.

AWS Developer Innovation DayAWS Developer Innovation Day – AWS Developer Innovation Day (April 26) is a new, free, one-day virtual event designed to help developers and teams be productive and collaborate from discovery to delivery, to running software and building applications. Get a first look at exciting product updates, technical deep dives, and keynotes.

AWS Global Summits – Check your calendars and sign up for the AWS Summit close to where you live or work: Tokyo (April 20–21), Singapore (May 4), Stockholm (May 11), Hong Kong (May 23), Tel Aviv (May 31), Amsterdam (June 1), London (June 7), Washington, DC (June 7–8), Toronto (June 14), Madrid (June 15), and Milano (June 22).

You can browse all upcoming AWS-led in-person and virtual events and developer-focused events such as Community Days.

That’s all for this week. Check back next Monday for another Week in Review!

— Antje

This post is part of our Week in Review series. Check back each week for a quick roundup of interesting news and announcements from AWS!

Introducing Amazon GameLift Anywhere – Run Your Game Servers on Your Own Infrastructure

Post Syndicated from Channy Yun original https://aws.amazon.com/blogs/aws/introducing-amazon-gamelift-anywhere-run-your-game-servers-on-your-own-infrastructure/

In 2016, we launched Amazon GameLift, a dedicated hosting solution that securely deploys and automatically scales fleets of session-based multiplayer game servers to meet worldwide player demand.

With Amazon GameLift, you can create and upload a game server build once, replicate, and then deploy across multiple AWS Regions and AWS Local Zones to reach your players with low-latency experiences across the world. GameLift also includes standalone features for low-cost game fleets with GameLift FleetIQ and player matchmaking with GameLift FlexMatch.

Game developers asked us to reduce the wait time to deploy a candidate server build to the cloud each time they needed to test and iterate their game during the development phase. In addition, our customers told us that they often have ongoing bare-metal contracts or on-premises game servers and want the flexibility to use their existing infrastructure with cloud servers.

Today we are announcing the general availability of Amazon GameLift Anywhere, which decouples game session management from the underlying compute resources. With this new release, you can now register and deploy any hardware, including your own local workstations, under a logical construct called an Anywhere Fleet.

Because your local hardware can now be a GameLift-managed server, you can iterate on the server build in your familiar local desktop environment, and any server error can materialize in seconds. You can also set breakpoints in your environment’s debugger, thereby eliminating trial and error and further speeding up the iteration process.

Here are the major benefits for game developers to use GameLift Anywhere.

  • Faster game development – Instantly test and iterate on your local workstation while still leveraging GameLift FlexMatch and Queue services.
  • Hybrid server management – Deploy, operate, and scale dedicated game servers hosted in the cloud or on-premises, all from a single location.
  • Streamline server operations – Reduce cost and operational complexity by unifying server infrastructure under a single game server orchestration layer.

During the beta period of GameLift Anywhere, lots of customers gave feedback. For example, Nitro Games has been an Amazon GameLift customer since 2020 and have used the service for player matchmaking and managing dedicated game servers in the cloud. Daniel Liljeqvist, Senior DevOps Engineer at Nitro Games said “With GameLift Anywhere we can easily debug a game server on our local machine, saving us time and making the feedback loop much shorter when we are developing new games and features.”

GameLift Anywhere resources such as locations, fleets, and compute are managed through the same highly secure AWS API endpoints as all AWS services. This also applies to generating the authentication tokens for game server processes that are only valid for a limited amount of time for additional security. You can leverage AWS Identity and Access Management (AWS IAM) roles and policies to fully manage access to all the GameLift Anywhere endpoints.

Getting Started with GameLift Anywhere
Before creating your GameLift fleet in your local hardware, you can create custom locations to run your game builds or scripts. Choose Locations in the left navigation pane of the GameLift console and select Create location.

You can create a custom location of your hardware that you can use with your GameLift Anywhere fleet to test your games.

Choose Fleets from the left navigation pane, then choose Create fleet to add your GameLift Anywhere fleet in the desired location.

Choose Anywhere on the Choose compute type step.

Define your fleet details, such as a fleet name and optional items. For more information on settings, see Create a new GameLift fleet in the AWS documentation.

On the Select locations step, select the custom location that you created. The home AWS Region is automatically selected as the Region you are creating the fleet in. You can use the home Region to access and use your resources.

After completing the fleet creation steps to create your Anywhere fleet, you can see active fleets in both the managed EC2 instances and the Anywhere location. You also can integrate remote on-premises hardware by adding more GameLift Anywhere locations, so you can manage your game sessions from one place. To learn more, see Create a new GameLift fleet in the AWS documentation.

You can register your laptop as a compute resource in the fleet that you created. Use the fleet-id created in the previous step and add a compute-name and your laptop’s ip-address.

$ aws gamelift register-compute \
    --compute-name ChannyDevLaptop \
    --fleet-id fleet-12345678-abcdefghi \
    --ip-address 10.1.2.3

Now, you can start a debug session of your game server by retrieving the authorization token for your laptop in the fleet that you created.

$ aws gamelift get-compute-auth-token \
    --fleet-id fleet-12345678-abcdefghi \
    --compute-name ChannyDevLaptop

To run a debug instance of your game server executable, your game server must call InitSDK(). After the process is ready to host a game session, the game server calls ProcessReady(). To learn more, see Integrating games with custom game servers and Testing your integration in the AWS documentation.

Now Available
Amazon GameLift Anywhere is available in all Regions where Amazon GameLift is available.  GameLift offers a step-by-step developer guide, API reference guide, and GameLift SDKs. You can also see for yourself how easy it is to test Amazon GameLift using our sample game to get started.

Give it a try, and please send feedback to AWS re:Post for Amazon GameLift or through your usual AWS support contacts.

– Channy