This project is a performance optimizer and resource benchmarker for AWS Lambda. It analyzes the trade-off between execution speed and cost by testing various memory configurations to identify the most cost-effective settings and minimize operational spending. The tool utilizes an AWS Step Functions orchestrator to automate the execution and data collection of multiple function test runs across different power levels. It simulates production workloads by injecting custom static or remote data and using weighted payload distribution to mimic real-world traffic patterns. The suite covers sever
Collect logs for docker containers
This is Serverless framework code demo for article Serverless Framework - Run your Kubernetes Workloads on Amazon EC2 Spot Instances with Amazon EKS - Part 1
Serverless delivery framework was developed using aws technologies with serverless framework for deliver software versions and Switch users for different software versions. read more