AWS Compute Blog

Category: Serverless

Image of Transition from JSONPath to JSONata.

Simplifying developer experience with variables and JSONata in AWS Step Functions

This post is written by Uma Ramadoss, Principal Specialist SA, Serverless and Dhiraj Mahapatro, Principal Specialist SA, Amazon Bedrock AWS Step Functions is introducing variables and JSONata data transformations. Variables allow developers to assign data in one state and reference it in any subsequent steps, simplifying state payload management without the need to pass data […]

Changing a function to Node.js 22

Node.js 22 runtime now available in AWS Lambda

This post is written by Julian Wood, Principal Developer Advocate, and Andrea Amorosi, Senior SA Engineer. You can now develop AWS Lambda functions using the Node.js 22 runtime, which is in active LTS status and ready for production use. Node.js 22 includes a number of additions to the language, including require()ing ES modules, as well as changes to the runtime […]

Overall architecture diagram showing custom domains for private endpoints.

Implementing custom domain names for private endpoints with Amazon API Gateway

This post is written by Heeki Park, Principal Solutions Architect Amazon API Gateway is introducing custom domain name support for private REST API endpoints. Customers choose private REST API endpoints when they want endpoints that are only callable from within their Amazon VPC. Custom domain names are simpler and more intuitive URLs that you can […]

re:Invent Banner

The serverless attendee’s guide to AWS re:Invent 2024

AWS re:Invent 2024 offers an extensive selection of serverless and application integration content. AWS re:Invent Banner For detailed descriptions and schedule, visit the AWS re:Invent Session Catalog. Join AWS serverless experts and community members at the AWS Modern Apps and Open Source Zone in the AWS Expo Village. This serves as a hub for serverless […]

Changing a function to Python 3.13

Python 3.13 runtime now available in AWS Lambda

This post is written by Julian Wood, Principal Developer Advocate, and Leandro Cavalcante Damascena, Senior Solutions Architect Engineer. AWS Lambda now supports Python 3.13 as both a managed runtime and container base image. Python is a popular language for building serverless applications. The Python 3.13 release includes a number of changes to the language, the implementation, and the […]

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Introducing an enhanced local IDE experience for AWS Lambda developers

AWS Lambda is introducing an enhanced local IDE experience to simplify Lambda-based application development. The new features help developers to author, build, debug, test, and deploy Lambda applications more efficiently in their local IDE when using Visual Studio Code (VS Code). Overview The IDE experience is part of the AWS Toolkit for Visual Studio Code. […]

Viewing function code in the Lambda Code Editor

Introducing an enhanced in-console editing experience for AWS Lambda

AWS Lambda is introducing a new code editing experience in the AWS console based on the popular Code-OSS, Visual Studio Code Open Source code editor. This brings the familiar Visual Studio Code interface and many of the features directly into the Lambda console, allowing developers to use their preferred coding environment and tools in the cloud. […]

Active Live Tail session showing logs for the CloudWatch log group associated with the Lambda function.

Simplifying Lambda function development using CloudWatch Logs Live Tail and Metrics Insights

This post is written by Shridhar Pandey, Senior Product Manager, AWS Lambda Today, AWS is announcing two new features which make it easier for developers and operators to build and operate serverless applications using AWS Lambda. First, the Lambda console now natively supports Amazon CloudWatch Logs Live Tail which provides you real-time visibility into Lambda […]

Architecture diagram showing AWS Lambda invoking Amazon Bedrock using the InvokeModel API call.

Designing Serverless Integration Patterns for Large Language Models (LLMs)

This post is written by Josh Hart, Principal Solutions Architect and Thomas Moore, Senior Solutions Architect This post explores best practice integration patterns for using large language models (LLMs) in serverless applications. These approaches optimize performance, resource utilization, and resilience when incorporating generative AI capabilities into your serverless architecture. Overview of serverless, LLMs and example […]

Function performance dashboard

Efficiently processing batched data using parallelization in AWS Lambda

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 […]