AWS Lambda’s serverless functions shine for event-driven data processing and machine learning, connecting cloud services and external APIs, and even triggering builds in a CI/CD pipeline ...

I’ll also discuss strategies how to optimize cold start of such Lambda function with AWS Custom Lambda Runtime based on GraalVM Native Image and AWS own offering SnapStart based on Firecracker ...

AWS recently introduced runtime management controls, which provide more visibility and control when Lambda applies runtime updates to functions.

Amazon Web Services is previewing a new framework for using its recently introduced .NET 6 runtime to create AWS Lambda functions, the foundation of serverless computing in the Amazon cloud.

A series of updates to AWS Lambda aim to improve how the function-as-a-service platform handles asynchronous workflows and processes data streams. These newly announced features arrived the week ...

Going forward, AWS Lambda will continue to build-in only LTS versions of .NET Core. However, coders can use the new support library to create Lambda functions using Current and Preview versions of ...

AWS Lambda SnapStart cuts Java startup times by initializing Java functions ahead of time and caching a snapshot of the initialized execution environment.

AWS announced some big updates to its Lambda serverless function service today. For starters, starting today it will be able to deliver functions with up to 10 GB of memory and 6 vCPUs (virtual ...

When Amazon introduced AWS Lambda in 2015, the notion of serverless computing was relatively unknown. It enables developers to deliver software without having to manage a server to do it. Instead ...