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	<title>Kinesis Data Streams &#8211; Noise</title>
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	<lastBuildDate>Mon, 12 Oct 2026 15:48:07 +0000</lastBuildDate>
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		<title>Build cross-account streaming pipelines with the Amazon Kinesis Producer Library and Kinesis Client Library</title>
		<link>https://noise.getoto.net/2026/10/12/build-cross-account-streaming-pipelines-with-the-amazon-kinesis-producer-library-and-kinesis-client-library/</link>
		
		<dc:creator><![CDATA[Charishma Makineni]]></dc:creator>
		<pubDate>Mon, 12 Oct 2026 15:48:07 +0000</pubDate>
				<category><![CDATA[Expert (400)]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=21f7bb8319fe1b1383ab80c0ab71ff31</guid>

					<description><![CDATA[Learn how to build an enterprise-scale cross-account streaming pipeline with Amazon Kinesis Data Streams using the Kinesis Producer Library (KPL) and Kinesis Client Library (KCL) across three separate AWS accounts, with resource-based policies, cross-account IAM, and a shared customer managed AWS KMS key for maximum security isolation.]]></description>
		
		
		
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		<item>
		<title>All the numbers: Amazon Prime Day 2026 powered by AWS</title>
		<link>https://noise.getoto.net/2026/10/06/all-the-numbers-amazon-prime-day-2026-powered-by-aws/</link>
		
		<dc:creator><![CDATA[Channy Yun (윤석찬)]]></dc:creator>
		<pubDate>Tue, 06 Oct 2026 16:09:36 +0000</pubDate>
				<category><![CDATA[Amazon Aurora]]></category>
		<category><![CDATA[Amazon CloudFront]]></category>
		<category><![CDATA[Amazon CloudWatch]]></category>
		<category><![CDATA[Amazon DynamoDB]]></category>
		<category><![CDATA[Amazon EC2]]></category>
		<category><![CDATA[Amazon Elastic Block Store (Amazon EBS)]]></category>
		<category><![CDATA[Amazon Elastic Container Service]]></category>
		<category><![CDATA[Amazon ElastiCache]]></category>
		<category><![CDATA[Amazon GuardDuty]]></category>
		<category><![CDATA[Amazon Simple Email Service (SES)]]></category>
		<category><![CDATA[Amazon Simple Queue Service (SQS)]]></category>
		<category><![CDATA[AWS CloudTrail]]></category>
		<category><![CDATA[AWS Fargate]]></category>
		<category><![CDATA[AWS Fault Injection Service (FIS)]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[AWS Support]]></category>
		<category><![CDATA[Case Studies]]></category>
		<category><![CDATA[Graviton]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=5f9494fdb1b3f060a1092592fb823d07</guid>

					<description><![CDATA[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 […]]]></description>
		
		
		
			</item>
		<item>
		<title>Scale down Kinesis Data Streams on-demand capacity with ODA warm throughput</title>
		<link>https://noise.getoto.net/2026/09/14/scale-down-kinesis-data-streams-on-demand-capacity-with-oda-warm-throughput/</link>
		
		<dc:creator><![CDATA[Pratik Patel]]></dc:creator>
		<pubDate>Mon, 14 Sep 2026 15:36:36 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=d451585911e241942457727a003842c7</guid>

					<description><![CDATA[Amazon Kinesis Data Streams now supports scaling down ingest capacity for on-demand Advantage streams with warm throughput. Learn how the scale-down works, how to monitor stream behavior with Amazon CloudWatch, and best practices for releasing excess capacity after transient traffic bursts.]]></description>
		
		
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			</item>
		<item>
		<title>Build a dynamic streaming data lake with Apache Iceberg and Apache Flink</title>
		<link>https://noise.getoto.net/2026/09/02/build-a-dynamic-streaming-data-lake-with-apache-iceberg-and-apache-flink/</link>
		
		<dc:creator><![CDATA[Francisco Morillo]]></dc:creator>
		<pubDate>Wed, 02 Sep 2026 18:28:38 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Managed Service for Apache Flink]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=c169bcd1505b46ed1ccce2fa5f950849</guid>

					<description><![CDATA[Learn how to build a dynamic streaming data lake on Amazon Managed Service for Apache Flink that adapts to new event types and schema changes without stopping the pipeline, using Apache Iceberg's Dynamic Iceberg Sink for per-record table routing and automatic schema evolution.]]></description>
		
		
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			</item>
		<item>
		<title>AI-powered cost optimization agent for Amazon Kinesis Data Streams</title>
		<link>https://noise.getoto.net/2026/08/10/ai-powered-cost-optimization-agent-for-amazon-kinesis-data-streams/</link>
		
		<dc:creator><![CDATA[Masudur Rahaman Sayem]]></dc:creator>
		<pubDate>Mon, 10 Aug 2026 16:21:55 +0000</pubDate>
				<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=69a63e07e4a30f8c3511937115437667</guid>

					<description><![CDATA[Learn how to deploy an open-source, AI-powered agent built on Amazon Bedrock that automatically analyzes every Amazon Kinesis Data Streams stream in your account, compares costs across the three capacity modes, and recommends the optimal mode to help you save over 60% on streaming costs on a schedule you choose.]]></description>
		
		
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			</item>
		<item>
		<title>Kinesis On-demand Advantage saves 60%+ on streaming costs</title>
		<link>https://noise.getoto.net/2026/03/09/kinesis-on-demand-advantage-saves-60-on-streaming-costs/</link>
		
		<dc:creator><![CDATA[Pratik Patel]]></dc:creator>
		<pubDate>Mon, 09 Mar 2026 16:42:28 +0000</pubDate>
				<category><![CDATA[Best practices]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=434b3ce6c988e5af2fa9997794185c39</guid>

					<description><![CDATA[On November 4, 2025, Amazon Kinesis Data Streams introduced On-demand Advantage mode, a capability that enables on-demand streams to handle instant throughput increases at scale and cost optimization for consistent streaming workloads. Historically, you had to choose between provisioned mode, which required managing stream capacity, and on-demand mode, which automatically scaled capacity, but this new offering removes the need to think about stream type at all. In this post, we show three real-world scenarios comparing different usage patterns and demonstrate how On-demand Advantage mode can optimize your streaming costs while maintaining performance and flexibility.]]></description>
		
		
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			</item>
		<item>
		<title>Amazon Kinesis Data Streams launches On-demand Advantage for instant throughput increases and streaming at scale</title>
		<link>https://noise.getoto.net/2025/11/04/amazon-kinesis-data-streams-launches-on-demand-advantage-for-instant-throughput-increases-and-streaming-at-scale/</link>
		
		<dc:creator><![CDATA[Pratik Patel]]></dc:creator>
		<pubDate>Mon, 03 Nov 2025 22:00:31 +0000</pubDate>
				<category><![CDATA[announcements]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=27101372d8a595b045edb7c6f06b24ec</guid>

					<description><![CDATA[Today, AWS announced the new Amazon Kinesis Data Streams On-demand Advantage mode, which includes warm throughput capability and an updated pricing structure. With this feature you can enable instant scaling for traffic surges while optimizing costs for consistent streaming workloads. In this post, we explore this new feature, including key use cases, configuration options, pricing considerations, and best practices for optimal performance.]]></description>
		
		
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			</item>
		<item>
		<title>Amazon Kinesis Data Streams now supports 10x larger record sizes: Simplifying real-time data processing</title>
		<link>https://noise.getoto.net/2025/10/28/amazon-kinesis-data-streams-now-supports-10x-larger-record-sizes-simplifying-real-time-data-processing/</link>
		
		<dc:creator><![CDATA[Sumant Nemmani]]></dc:creator>
		<pubDate>Tue, 28 Oct 2025 19:23:30 +0000</pubDate>
				<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=9c5cbc2af01719f3122b3aedeca265ba</guid>

					<description><![CDATA[Today, AWS announced that Amazon Kinesis Data Streams now supports record sizes up to 10MiB – a tenfold increase from the previous limit. In this post, we explore Amazon Kinesis Data Streams large record support, including key use cases, configuration of maximum record sizes, throttling considerations, and best practices for optimal performance.]]></description>
		
		
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			</item>
		<item>
		<title>Build a streaming data mesh using Amazon Kinesis Data Streams</title>
		<link>https://noise.getoto.net/2025/09/10/build-a-streaming-data-mesh-using-amazon-kinesis-data-streams/</link>
		
		<dc:creator><![CDATA[Felix John]]></dc:creator>
		<pubDate>Wed, 10 Sep 2025 16:50:11 +0000</pubDate>
				<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=0c8017a3cfb68dae5d61188f8b2d4153</guid>

					<description><![CDATA[AWS provides two primary solutions for streaming ingestion and storage: Amazon Managed Streaming for Apache Kafka (Amazon MSK) or Amazon Kinesis Data Streams. These services are key to building a streaming mesh on AWS. In this post, we explore how to build a streaming mesh using Kinesis Data Streams.]]></description>
		
		
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			</item>
		<item>
		<title>How Airties achieved scalability and cost-efficiency by moving from Kafka to Amazon Kinesis Data Streams</title>
		<link>https://noise.getoto.net/2025/05/29/how-airties-achieved-scalability-and-cost-efficiency-by-moving-from-kafka-to-amazon-kinesis-data-streams/</link>
		
		<dc:creator><![CDATA[Steven Aerts, Reza Radmehr]]></dc:creator>
		<pubDate>Thu, 29 May 2025 15:04:14 +0000</pubDate>
				<category><![CDATA[Amazon Data Firehose]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Experience-Based Acceleration]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=c06a4f1bf025b654063e981735e80ad9</guid>

					<description><![CDATA[Airties is a wireless networking company that provides AI-driven solutions for enhancing home connectivity. This post explores the strategies the Airties team employed during their migration from Apache Kafka to Amazon Kinesis Data Streams, the challenges they overcame, and how they achieved a more efficient, scalable, and maintenance-free streaming infrastructure.]]></description>
		
		
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			</item>
		<item>
		<title>Deploy real-time analytics with StarTree for managed Apache Pinot on AWS</title>
		<link>https://noise.getoto.net/2025/03/13/deploy-real-time-analytics-with-startree-for-managed-apache-pinot-on-aws/</link>
		
		<dc:creator><![CDATA[Raj Ramasubbu]]></dc:creator>
		<pubDate>Thu, 13 Mar 2025 20:02:13 +0000</pubDate>
				<category><![CDATA[Amazon Managed Streaming for Apache Kafka (Amazon MSK)]]></category>
		<category><![CDATA[Enterprise BI]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
		<category><![CDATA[open source]]></category>
		<category><![CDATA[Partner solutions]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=a30834ee730407b0a6294cda4240d956</guid>

					<description><![CDATA[In this post, we introduce StarTree as a managed solution on AWS for teams seeking the advantages of Pinot. We highlight the key distinctions between open-source Pinot and StarTree, and provide valuable insights for organizations considering a more streamlined approach to their real-time analytics infrastructure.]]></description>
		
		
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		<item>
		<title>Governing streaming data in Amazon DataZone with the Data Solutions Framework on AWS</title>
		<link>https://noise.getoto.net/2025/02/27/governing-streaming-data-in-amazon-datazone-with-the-data-solutions-framework-on-aws/</link>
		
		<dc:creator><![CDATA[Vincent Gromakowski]]></dc:creator>
		<pubDate>Thu, 27 Feb 2025 17:16:51 +0000</pubDate>
				<category><![CDATA[Amazon DataZone]]></category>
		<category><![CDATA[Amazon Managed Service for Apache Flink]]></category>
		<category><![CDATA[Amazon Managed Streaming for Apache Kafka (Amazon MSK)]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=2f1de91fbdb0914daaa3dbfc552ce601</guid>

					<description><![CDATA[In this post, we explore how AWS customers can extend Amazon DataZone to support streaming data such as Amazon Managed Streaming for Apache Kafka (Amazon MSK) topics. Developers and DevOps managers can use Amazon MSK, a popular streaming data service, to run Kafka applications and Kafka Connect connectors on AWS without becoming experts in operating it.]]></description>
		
		
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		<item>
		<title>Introducing the new Amazon Kinesis source connector for Apache Flink</title>
		<link>https://noise.getoto.net/2024/12/18/introducing-the-new-amazon-kinesis-source-connector-for-apache-flink/</link>
		
		<dc:creator><![CDATA[Lorenzo Nicora]]></dc:creator>
		<pubDate>Wed, 18 Dec 2024 15:02:31 +0000</pubDate>
				<category><![CDATA[Amazon Managed Service for Apache Flink]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=03b028dd4d5bf7e87c751729a83f083c</guid>

					<description><![CDATA[On November 11, 2024, the Apache Flink community released a new version of AWS services connectors, an AWS open source contribution. This new release, version 5.0.0, introduces a new source connector to read data from Amazon Kinesis Data Streams. In this post, we explain how the new features of this connector can improve performance and reliability of your Apache Flink application.]]></description>
		
		
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		<item>
		<title>Top 6 game changers from AWS that redefine streaming data</title>
		<link>https://noise.getoto.net/2024/12/17/top-6-game-changers-from-aws-that-redefine-streaming-data/</link>
		
		<dc:creator><![CDATA[Sai Maddali]]></dc:creator>
		<pubDate>Tue, 17 Dec 2024 16:35:19 +0000</pubDate>
				<category><![CDATA[Amazon Data Firehose]]></category>
		<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Amazon Managed Service for Apache Flink]]></category>
		<category><![CDATA[Amazon Managed Streaming for Apache Kafka (Amazon MSK)]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=8d9d28cf8c04606ef5d53f5bba0beaa5</guid>

					<description><![CDATA[Recently, AWS introduced over 50 new capabilities across its streaming services, significantly enhancing performance, scale, and cost-efficiency. Some of these innovations have tripled performance, provided 20 times faster scaling, and reduced failure recovery times by up to 90%. We have made it nearly effortless for customers to bring real-time context to AI applications and lakehouses. In this post, we discuss the top six game changers that will redefine AWS streaming data.]]></description>
		
		
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		<item>
		<title>Use Amazon Kinesis Data Streams to deliver real-time data to Amazon OpenSearch Service domains with Amazon OpenSearch Ingestion</title>
		<link>https://noise.getoto.net/2024/11/11/use-amazon-kinesis-data-streams-to-deliver-real-time-data-to-amazon-opensearch-service-domains-with-amazon-opensearch-ingestion/</link>
		
		<dc:creator><![CDATA[M Mehrtens]]></dc:creator>
		<pubDate>Mon, 11 Nov 2024 21:11:49 +0000</pubDate>
				<category><![CDATA[Amazon OpenSearch Service]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
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					<description><![CDATA[In this post, we show how to use Amazon Kinesis Data Streams to buffer and aggregate real-time streaming data for delivery into Amazon OpenSearch Service domains and collections using Amazon OpenSearch Ingestion. You can use this approach for a variety of use cases, from real-time log analytics to integrating application messaging data for real-time search. In this post, we focus on the use case for centralizing log aggregation for an organization that has a compliance need to archive and retain its log data.]]></description>
		
		
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		<item>
		<title>Reduce your compute costs for stream processing applications with Kinesis Client Library 3.0</title>
		<link>https://noise.getoto.net/2024/11/06/reduce-your-compute-costs-for-stream-processing-applications-with-kinesis-client-library-3-0/</link>
		
		<dc:creator><![CDATA[Minu Hong]]></dc:creator>
		<pubDate>Wed, 06 Nov 2024 20:19:13 +0000</pubDate>
				<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=aa7a676f867ca64c8e6fe7281e487287</guid>

					<description><![CDATA[We are excited to launch Kinesis Client Library 3.0, which enables you to reduce your stream processing cost by up to 33% compared to previous KCL versions. KCL 3.0 achieves this with a new load balancing algorithm that continuously monitors the resource utilization of workers and redistributes the load evenly to all workers. In this post, we discuss load balancing challenges in stream processing using a sample workload, demonstrating how uneven load distribution across workers increases processing costs.]]></description>
		
		
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		<item>
		<title>Build a dynamic rules engine with Amazon Managed Service for Apache Flink</title>
		<link>https://noise.getoto.net/2024/10/03/build-a-dynamic-rules-engine-with-amazon-managed-service-for-apache-flink/</link>
		
		<dc:creator><![CDATA[Steven Carpenter]]></dc:creator>
		<pubDate>Thu, 03 Oct 2024 17:20:41 +0000</pubDate>
				<category><![CDATA[Amazon Kinesis Analytics]]></category>
		<category><![CDATA[Amazon Kinesis Streams]]></category>
		<category><![CDATA[Amazon Managed Service for Apache Flink]]></category>
		<category><![CDATA[Industries]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[Internet of Things]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
		<category><![CDATA[open source]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=970b69cf800e79a9ad4a2be0d65e30a2</guid>

					<description><![CDATA[This post demonstrates how to implement a dynamic rules engine using Amazon Managed Service for Apache Flink. Our implementation provides the ability to create dynamic rules that can be created and updated without the need to change or redeploy the underlying code or implementation of the rules engine itself. We discuss the architecture, the key services of the implementation, some implementation details that you can use to build your own rules engine, and an AWS Cloud Development Kit (AWS CDK) project to deploy this in your own account.]]></description>
		
		
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		<item>
		<title>Efficiently processing batched data using parallelization in AWS Lambda</title>
		<link>https://noise.getoto.net/2024/08/28/efficiently-processing-batched-data-using-parallelization-in-aws-lambda/</link>
		
		<dc:creator><![CDATA[Chris Munns]]></dc:creator>
		<pubDate>Wed, 28 Aug 2024 16:14:46 +0000</pubDate>
				<category><![CDATA[Amazon Simple Notification Service (SNS)]]></category>
		<category><![CDATA[Amazon Simple Queue Service (SQS)]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
		<category><![CDATA[serverless]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=ebbc33e6eeb796b442024899730a74d4</guid>

					<description><![CDATA[This post is written by Anton Aleksandrov, Principal Solutions Architect, AWS Serverless Efficient message processing is crucial when handling large data volumes. By employing batching, distribution, and parallelization techniques, you can optimize the utilization of resources allocated to your AWS Lambda function. This post will demonstrate how to implement parallel data processing within the Lambda function handler, maximizing […]]]></description>
		
		
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		<item>
		<title>Build a real-time analytics solution with Apache Pinot on AWS</title>
		<link>https://noise.getoto.net/2024/08/06/build-a-real-time-analytics-solution-with-apache-pinot-on-aws/</link>
		
		<dc:creator><![CDATA[Raj Ramasubbu]]></dc:creator>
		<pubDate>Tue, 06 Aug 2024 14:40:13 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Managed Service for Apache Flink]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Embedded Analytics]]></category>
		<category><![CDATA[Enterprise BI]]></category>
		<category><![CDATA[Expert (400)]]></category>
		<category><![CDATA[Kinesis Data Analytics]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
		<category><![CDATA[open source]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=68aa62d40ec09633fed249018756fa39</guid>

					<description><![CDATA[In this, we will provide a step-by-step guide showing you how you can build a real-time OLAP datastore on Amazon Web Services (AWS) using Apache Pinot on Amazon Elastic Compute Cloud (Amazon EC2) and do near real-time visualization using Tableau. You can use Apache Pinot for batch processing use cases as well but, in this post, we will focus on a near real-time analytics use case.]]></description>
		
		
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		<title>Serverless ICYMI Q2 2024</title>
		<link>https://noise.getoto.net/2024/07/02/serverless-icymi-q2-2024/</link>
		
		<dc:creator><![CDATA[Julian Wood]]></dc:creator>
		<pubDate>Tue, 02 Jul 2024 15:57:10 +0000</pubDate>
				<category><![CDATA[Amazon API Gateway]]></category>
		<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon DynamoDB]]></category>
		<category><![CDATA[Amazon Elastic Container Service]]></category>
		<category><![CDATA[Amazon EventBridge]]></category>
		<category><![CDATA[Amazon GuardDuty]]></category>
		<category><![CDATA[Amazon Q]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[Amazon Timestream]]></category>
		<category><![CDATA[AWS Amplify]]></category>
		<category><![CDATA[AWS AppSync]]></category>
		<category><![CDATA[AWS Fargate]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[AWS Step Functions]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
		<category><![CDATA[serverless]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=5b42a625bba2a8a1aaca152fc285cd28</guid>

					<description><![CDATA[Welcome to the 26th edition of the AWS Serverless ICYMI (in case you missed it) quarterly recap. Every quarter, we share all the most recent product launches, feature enhancements, blog posts, webinars, live streams, and other interesting things that you might have missed! In case you missed our last ICYMI, check out what happened last […]]]></description>
		
		
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