A first-hand, step-by-step look at the ease and simplicity of Amazon's "function as a service" platform Why would a developer use AWS Lambda? In a word, simplicity. AWS Lambda—and other event ...

AWS Step Functions is a way to make that all happen. After its debut in 2016, the service became known for its visual interface -- essentially, every application has requirements for how the app ...

AWS makes Arm-powered Lambda functions generally available Serverless functions able to use Graviton2 are said to offer better performance at lower cost.

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 ...

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.

Now, with SnapStart, AWS is addressing this by creating snapshots of a customer’s Lambda functions and then simply starting those up without having to go through the usual initialization process.

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, ...

Datadog, Inc. (NASDAQ: DDOG), the monitoring and security platform for cloud applications, today announced support for distributed tracing for AWS Ste ...

Its new support for AWS Lambda functions adds continual, automated vulnerability assessments for serverless compute workloads, according to AWS’ announcement.