Author: Brian Krygsman

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.

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 […]

Delightful developer experience is an important part of building serverless applications efficiently, whether you’re creating an automation script or developing a complex enterprise application. While AWS Lambda has transformed modern application development in the cloud with its serverless computing model, developers spend significant time working in their local environments. They rely on familiar IDEs, debugging […]