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, ...

To get around a the 50 MB (zipped) deployment package limit, it is useful to create a distinct layer for the scikit-learn dependency. This frees up more room in your deployment package for your model ...

YOLOv5* model is a popular object detection model known for its runtime efficiency as well as detection accuracy. Many object detection applications use pre-trained YOLOv5 models and are finetuned to ...

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

What’s new in AWS Lambda November 2018 release. Amazon Web Services has fitted its AWS Lambda serverless computing platform with Lambda Layers for code management and with Lambda Runtime API for ...

AWS makes Arm-powered Lambda functions generally ... "This is particularly useful now that you can use Lambda functions with up to 10 GB of ... AWS said Node.js 12 and 14, Python 3.8 and ...

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

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.