Learn how to use .NET Core and the AWS Toolkit for Visual Studio to build serverless functions and deploy them to AWS Lambda in the Amazon cloud. Topics Spotlight: AI-ready data centers ...

AWS Lambda Python example. Ready to develop your first AWS Lambda function in Python? It really couldn’t be easier. The AWS Management Console’s built-in code editor first loads with a pre-existing, ...

AWS Lambda functions can run up to fifteen minutes per execution. They can be configured to have 3GB of memory and access up to 500MB on non-persistent disk.

With Lambda@Edge, developers can do processing at the edge locations without having to go back to the original source. These functions are able to inspect HTTP requests and take actions on them.

Amazon Web Services' Lambda is a powerful serverless computing tool, but it's AWS only. TriggerMesh wants to expand its reach beyond AWS. Written by Steven Vaughan-Nichols, Senior Contributing ...

According to AWS’ CEO, functions running on a Snowball Edge will have computing power available to them that’s equivalent to an m4.4xlarge compute instance running in Amazon’s cloud.

Amazon Web Services has announced AWS Lambda serverless function support for its automated vulnerability management service, Amazon Inspector, and a new automated sensitive data discovery ...

Test the Java-based AWS Lambda function in the management console. Test the Java code in AWS. When the runtime settings are configured, you can use the AWS Console’s Lambda test tab to invoke the ...