Category: AWS Lambda

AWS Lambda introduces public preview runtimes, a new way to try upcoming language versions before GA. Start using Node.js 26 and Python 3.15 today, provide feedback, and help shape runtime quality before general availability.

Feature toggles allow you to change application behavior in real time without deploying new code. Learn how to implement dynamic feature flags with AWS AppConfig on AWS Lambda for safe deployments, gradual rollouts, and instant rollback.

Learn observability best practices for AWS Lambda durable functions, including CloudWatch metrics, custom alarms, structured logging, and X-Ray tracing for debugging callback timeouts end-to-end.

Learn how to collect CPU and memory metrics from AWS Lambda MicroVMs using the CloudWatch Agent. Configure telegraf and OTel to monitor and right-size your workloads.

Customers building event-driven applications on AWS rely on Amazon Simple Queue Service (Amazon SQS) and AWS Lambda event source mappings (ESMs) to process millions of events every day. The fully managed polling infrastructure of ESMs eliminates the need to write and maintain custom code. You can focus on business logic while Lambda handles scaling, batching, […]

In this 33rd quarterly recap post, discover the most impactful AWS serverless launches, features, and resources from Q2 2026 that you might have missed. Stay current with the latest serverless innovations that can improve your applications. In case you missed our last ICYMI, read about what happened in Q1 2026. AWS Lambda MicroVMs AWS Lambda […]

If you manage Lambda functions at scale, you’ve likely hit the 75 GB code storage limit or explained to your security team why deployment artifacts live in an S3 bucket you don’t control. Today, we’re announcing self-managed Amazon S3 buckets for AWS Lambda deployment packages. Lambda reads your code directly from your bucket, eliminating quota […]

A single cold start can push your Java Lambda function’s response time from milliseconds to seconds, enough to violate your p99 SLA, timeout a downstream service, and page your on-call. The Java Virtual Machine (JVM) performs best in long-running processes. Its Just-In-Time (JIT) compiler progressively optimizes code over thousands of invocations. Standard serverless execution environments […]

We recently announced the launch of AWS Lambda MicroVMs, a new serverless compute primitive that provides VM-level isolation, near-instant startup performance, and state retention. You can now give each user or job their own execution environment to securely run just-in-time code – either user or AI generated – without managing virtualization infrastructure or choosing between […]

Development teams building serverless applications with AI coding agents face the question of how to let those agents generate and execute code without losing control over governance. Agent-generated code needs a secure environment to execute, isolated from production systems and the developer’s local environment. Addressing this requires three things working together: a secure execution sandbox, […]