AWS Lambda durable functions are now available in the AWS European Sovereign Cloud. Lambda durable functions enable developers to build reliable multi-step applications and AI workflows within the Lambda developer experience. Lambda durable functions extend the Lambda programming model with new primitives in your event handler, such as "step" and "wait", allowing you to checkpoint progress, automatically recover from failures, and pause executions without incurring compute charges for on-demand functions. With availability in the AWS European Sovereign Cloud region, customers can orchestrate complex processes such as order workflows, user onboarding, and AI-assisted tasks while meeting compliance and security requirements. You can activate durable functions for new Python (versions 3.13 and 3.14), Node.js (versions 22 and 24), or Java (17+) based Lambda functions using the AWS Lambda API, AWS Management Console, or AWS SDK. You can also use infrastructure as code tools such as AWS CloudFormation, AWS Serverless Application Model (AWS SAM), and the AWS Cloud Development Kit (AWS CDK). For more information on durable functions, visit the AWS Lambda durable functions product page or the AWS Lambda Developer Guide. To learn about pricing, visit AWS Lambda pricing.

AWS Lambda durable functions are now available in the AWS European Sovereign Cloud. Lambda durable functions enable developers to build reliable multi-step applications and AI workflows within the Lambda developer experience. Lambda durable functions extend the Lambda programming model with new primitives in your event handler, such as "step" and "wait", allowing you to checkpoint progress, automatically recover from failures, and pause executions without incurring compute charges for on-demand functions. With availability in the AWS European Sovereign Cloud region, customers can orchestrate complex processes such as order workflows, user onboarding, and AI-assisted tasks while meeting compliance and security requirements. You can activate durable functions for new Python (versions 3.13 and 3.14), Node.js (versions 22 and 24), or Java (17+) based Lambda functions using the AWS Lambda API, AWS Management Console, or AWS SDK. You can also use infrastructure as code tools such as AWS CloudFormation, AWS Serverless Application Model (AWS SAM), and the AWS Cloud Development Kit (AWS CDK). For more information on durable functions, visit the https://aws.amazon.com/lambda/lambda-durable-functions/ or the https://docs.aws.eu/lambda/latest/dg/durable-functions.html#. To learn about pricing, visit https://aws.amazon.com/lambda/pricing/.  

Learn how to embed individual Amazon Quick Sight visuals into a React application with per-user access control. This walkthrough uses Amazon Cognito authentication and a serverless AWS Lambda backend to generate scoped embed URLs, deployed with a single AWS CloudFormation stack.

どうもこんにちは。 先日ですね、ServerlessDays Tokyo 2026というイベントに参加させていただきまして、Day2のワークショップに参加させていただきました。 このワークショップで、AWS LambdaのDurable FunctionsとLambd...

Learn how to run AI agent tool calls in secure, isolated sandboxes using AWS Lambda MicroVMs. This post shows how to architect a self-hosted control plane that launches a fresh, VM-isolated MicroVM for each agent session, keeping credentials, networking, and governance entirely within your own AWS account.

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There’s a particular energy to mid-September in New York. Pumpkin spice lattes are flowing, temperatures are dropping, and it’s nearly sweater weather. The city is back at full speed, and so is the AWS launch calendar. This week that energy showed up in a new frontier model on Amazon Bedrock, a desktop app for Amazon […]

Discover more about what's new at AWS with AWS Lambda now supports direct read configuration for Amazon S3 Files

Discover Lambda Managed Instances with Terraform: handle high concurrency, memory-intensive tasks, and explore AWS compute options.

Connect with builders who understand your journey. Share solutions, influence AWS product development, and access useful content that accelerates your growth. Your community starts here.

Discover more about what's new at AWS with AWS Lambda recursive loop detection is now available in Europe Sovereign Cloud

AWS Lambda recursive loop detection is now supported for functions running in Europe Sovereign Cloud. Recursive loop detection automatically detects and stops recursive invocations between Lambda functions and other supported services, preventing unexpected billing caused by unintended recursive loops. Customers use event sources such as Amazon S3, Amazon SQS, and Amazon SNS to build event driven applications that trigger Lambda functions. Misconfiguration or code defect can cause events to be sent back to the same source that triggered the Lambda function, causing recursive loops and unintended usage. When such a loop is detected, recursive loop detection automatically stops processing the event and sends you an AWS Health Dashboard notification with troubleshooting steps. Recursive loop detection is enabled by default for Lambda functions using a supported SDK version. If your function intentionally uses recursive loops, you can use the PutFunctionRecursionConfig API to turn off recursive loop detection on your Lambda function.  To learn about recursive loop detection, visit Lambda documentation.

AWS Lambda https://docs.aws.eu/lambda/latest/dg/invocation-recursion.html is now supported for functions running in Europe Sovereign Cloud. Recursive loop detection automatically detects and stops recursive invocations between Lambda functions and other supported services, preventing unexpected billing caused by unintended recursive loops. Customers use event sources such as Amazon S3, Amazon SQS, and Amazon SNS to build event driven applications that trigger Lambda functions. Misconfiguration or code defect can cause events to be sent back to the same source that triggered the Lambda function, causing recursive loops and unintended usage. When such a loop is detected, recursive loop detection automatically stops processing the event and sends you an AWS Health Dashboard notification with troubleshooting steps. Recursive loop detection is enabled by default for Lambda functions using a https://docs.aws.eu/lambda/latest/dg/invocation-recursion.html#invocation-recursion-supported. If your function intentionally uses recursive loops, you can use the https://docs.aws.eu/lambda/latest/api/API_PutFunctionRecursionConfig.htmlto turn off recursive loop detection on your Lambda function.  To learn about recursive loop detection, visit https://docs.aws.eu/lambda/latest/dg/invocation-recursion.html.

Today, AWS Lambda durable functions announces an integration with Pydantic AI, an open source framework for building AI agents in Python. AWS Lambda durable functions saves your Pydantic AI agent's progress as it runs, so after an interruption like a timeout, your agent resumes from the last completed step instead of starting over. Your agent gains fault tolerance without you having to write the checkpoint and retry logic yourself. With this integration, each model and tool call your agent makes is a durable execution step, so an interrupted run does not repeat calls that already completed. This matters when the work is expensive to repeat, such as a chain of model calls that reviews a set of documents or researches a topic across many sources, where starting over means paying again for tokens to do the same work. It also helps to avoid unwanted side-effects when resuming execution, such as billing a customer twice. Because your agent runs on AWS Lambda, you manage no servers and pay only for the compute it uses. You can use this integration in any Python AWS Lambda durable function. It is available in all AWS Regions where AWS Lambda durable functions is available. To get started, install Pydantic AI and follow its AWS Lambda durability page. You can also find the integration details in the durable execution SDK reference. For more information about AWS Lambda durable functions, see the developer guide and the AWS Lambda product page.

Today, AWS Lambda durable functions announces an integration with https://pydantic.dev/docs/ai/overview/, an open source framework for building AI agents in Python. AWS Lambda durable functions saves your Pydantic AI agent's progress as it runs, so after an interruption like a timeout, your agent resumes from the last completed step instead of starting over. Your agent gains fault tolerance without you having to write the checkpoint and retry logic yourself. With this integration, each model and tool call your agent makes is a durable execution step, so an interrupted run does not repeat calls that already completed. This matters when the work is expensive to repeat, such as a chain of model calls that reviews a set of documents or researches a topic across many sources, where starting over means paying again for tokens to do the same work. It also helps to avoid unwanted side-effects when resuming execution, such as billing a customer twice. Because your agent runs on AWS Lambda, you manage no servers and pay only for the compute it uses. You can use this integration in any Python AWS Lambda durable function. It is available in all AWS Regions where AWS Lambda durable functions is available. To get started, install Pydantic AI and follow its https://pydantic.dev/docs/ai/harness/aws-lambda/. You can also find the integration details in the https://docs.aws.amazon.com/durable-execution/sdk-reference/integrations/pydantic-ai/. For more information about AWS Lambda durable functions, see the https://docs.aws.amazon.com/lambda/latest/dg/durable-functions.html and the https://aws.amazon.com/lambda/.

Discover more about what's new at AWS with AWS Lambda now supports 90-minute function timeout on Lambda Managed Instances

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AWS Lambda now supports AWS Graviton5-powered C9g, C9gd, M9g, and M9gd instances on Lambda Managed Instances. You can now run your Lambda functions on the latest generation of Graviton processors, delivering up to 25% better compute performance compared to Graviton4-powered instances. AWS Lambda Managed Instances lets you run Lambda functions on your AWS EC2 instances while maintaining Lambda's operational simplicity. With Lambda Managed Instances, you can access specialized compute configurations and drive cost efficiency through EC2 pricing advantages, without managing infrastructure. Lambda Managed Instances fully manages all infrastructure tasks, including instance lifecycle, OS and runtime patching, built-in routing, load balancing, and auto-scaling based on configurable parameters - so you can focus on writing code. Starting today, you can leverage Lambda Managed Instances with the latest Graviton5-powered instances, which deliver up to 25% better compute performance compared to the previous generation Graviton4-powered instances. To get started, you can specify the desired Graviton5 instance type (C9g, C9gd, M9g, or M9gd) when you create a capacity provider. When you set the instance type to default, Lambda automatically includes Graviton5 instances in the list of instances it chooses from, based on your function’s configured architecture, memory size, and memory-to-vCPU ratio. AWS Lambda Managed Instances supports C9g, C9gd, M9g, and M9gd instance types in all AWS Regions where both Lambda Managed Instances and these EC2 instances are available. To learn more, visit the Lambda Managed Instances documentation and AWS Lambda pricing.

AWS Lambda now supports AWS Graviton5-powered C9g, C9gd, M9g, and M9gd instances on https://docs.aws.amazon.com/lambda/latest/dg/lambda-managed-instances.html. You can now run your Lambda functions on the latest generation of Graviton processors, delivering up to 25% better compute performance compared to Graviton4-powered instances. AWS Lambda Managed Instances lets you run Lambda functions on your AWS EC2 instances while maintaining Lambda's operational simplicity. With Lambda Managed Instances, you can access specialized compute configurations and drive cost efficiency through EC2 pricing advantages, without managing infrastructure. Lambda Managed Instances fully manages all infrastructure tasks, including instance lifecycle, OS and runtime patching, built-in routing, load balancing, and auto-scaling based on configurable parameters - so you can focus on writing code. Starting today, you can leverage Lambda Managed Instances with the latest Graviton5-powered instances, which deliver up to 25% better compute performance compared to the previous generation Graviton4-powered instances. To get started, you can specify the desired Graviton5 instance type (C9g, C9gd, M9g, or M9gd) when you create a capacity provider. When you set the instance type to default, Lambda automatically includes Graviton5 instances in the list of instances it chooses from, based on your function’s configured architecture, memory size, and memory-to-vCPU ratio. AWS Lambda Managed Instances supports C9g, C9gd, M9g, and M9gd instance types in all https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/ where both Lambda Managed Instances and these EC2 instances are available. To learn more, visit the https://docs.aws.amazon.com/lambda/latest/dg/lambda-managed-instances.html and https://aws.amazon.com/lambda/pricing/. 

aws lambda etl is the pattern that turns your data pipeline from a clock-driven batch job that wakes...

Last week, Claude Fable 5.1 became available on AWS. According to Anthropic, Claude Fable 5.1 delivers frontier intelligence for ambitious tasks across coding, scientific research, and enterprise workflows. Claude Fable 5.1 is built for long-running, high-stakes work that runs for hours and spans many applications. It can own more of a software project on its […]

Discover more about what's new at AWS with AWS MCP Server adds a serverless capability for AWS Lambda functions

AWS Lambda recursive loop detection has expanded support to all commercial AWS Regions. This feature, which is enabled by default, is a guardrail that automatically detects and stops recursive invocations between Lambda functions and other supported services, preventing runaway workloads. When using event sources such as Amazon S3, Amazon SQS, and Amazon SNS to trigger Lambda functions, a misconfiguration or code defect can cause events to be sent back to the same source that triggered the Lambda function, causing recursive loops, unintended usage, and unexpected billing. When such a loop is detected, Lambda recursive loop detection automatically stops processing the event and sends you an AWS Health Dashboard notification with troubleshooting steps.  With this expansion, you now benefit from recursive loop detection in all commercial AWS Regions when using a supported SDK version or later. If your function uses intentional recursive loops, you can use the PutFunctionRecursionConfig API to turn off recursive loop detection on your Lambda function.    To learn more about Lambda recursive loop detection, please refer to Lambda documentation.