AWS Compute Blog
Category: AWS Lambda
Build reliable voice analytics workflows with AWS Lambda durable functions and Amazon Bedrock
Contact centers handle millions of voice interactions monthly, but transforming raw call recordings into actionable insights remains a manual and fragile process. With voice analytics workflows, you can decrease the average handle time of a voice call from minutes to seconds and increase the efficiency and productivity of your support agents. Today, these workflows often […]
Modernizing Lambda + S3 workloads with Amazon S3 Files
Learn how Amazon S3 Files simplifies Lambda functions by eliminating transfer code and /tmp constraints. See three modernization patterns with code examples for image processing, ETL pipelines, and multi-agent AI workloads. AWS Lambda functions that interact with Amazon Simple Storage Service (Amazon S3) typically follow a familiar pattern: download an object to /tmp, process it […]
Upgrading Lambda function runtimes at scale with AWS Transform custom
When you create an AWS Lambda function, you choose the runtime that Lambda will use to run your code. This includes the base language version and supporting libraries. Lambda runtimes follow a published deprecation schedule. This means that you must periodically upgrade your function’s runtime. Running on a deprecated runtime means potential security exposure, loss […]
Integrating Event Source Mappings with AWS Lambda tenant isolation mode
Building event-driven multi-tenant SaaS applications typically requires compute isolation between tenants to prevent data leakage, maintain security boundaries, and ensure compliance. Traditionally, you had to choose between two approaches: sharing execution environments across tenants (risking cross-tenant contamination of in-memory state) or managing separate Lambda functions per tenant (which introduces operational overhead, increasing costs, and complicating […]
Multi-Region event-driven failover architecture with Amazon EventBridge and Route 53
Multi-Region Event-Driven Failover Architecture with Amazon EventBridge and Route 53 Event-driven architectures enable applications to respond to events in real-time, providing scalability and loose coupling between components. However, ensuring high availability across multiple AWS regions requires careful design of failover mechanisms. This post demonstrates how to build a resilient multi-region event-driven architecture using Amazon EventBridge, […]
Serverless ICYMI Q1 2026
Stay current with the latest serverless innovations that can improve your applications. In this 32nd quarterly recap, discover the most impactful AWS serverless launches, features, and resources from Q1 2026 that you might have missed. In case you missed our last ICYMI, check out what happened in Q4 2025. 2026 Q1 calendar Serverless with Mama […]
AWS Outposts monitoring and reporting: A comprehensive Amazon EventBridge solution
Organizations using AWS Outposts racks commonly manage capacity from a single AWS account and share resources through AWS Resource Access Manager (AWS RAM) with other AWS accounts (consumer accounts) within AWS Organizations. In this post, we demonstrate one approach to create a multi-account serverless solution to surface costs in shared AWS Outposts environments using Amazon […]
Building Memory-Intensive Apps with AWS Lambda Managed Instances
Building memory-intensive applications with AWS Lambda just got easier. AWS Lambda Managed Instances gives you up to 32 GB of memory—3x more than standard AWS Lambda—while maintaining the serverless experience you know. Modern applications increasingly require substantial memory resources to process large datasets, perform complex analytics, and deliver real-time insights for use cases such as […]
Build high-performance apps with AWS Lambda Managed Instances
In this post, you will learn how to configure AWS Lambda Managed Instances by creating a Capacity Provider that defines your compute infrastructure, associating your Lambda function with that provider, and publishing a function version to provision the execution environments. We will conclude with production best practices including scaling strategies, thread safety, and observability for reliable performance.
Best practices for Lambda durable functions using a fraud detection example
This post walks through a fraud detection system built with durable functions. It also highlights the best practices that you can apply to your own production workflows, from approval processes to data pipelines to AI agent orchestration.









