My collection of 300+ AWS presentations and talks from my time as a Technical Evangelist at Amazon Web Services (2015-2021)

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…

⚡️ Express inspired web framework written in Go

This Repository holds a list of public Chaos Engineering stories from major institutions around the world

Chaos Proxy is an unreliable HTTP proxy you can rely on; a lightweight tool designed for chaos testing of microservices.

AWS System Manager Parameter Store caching client for Python

A workshop for learning to apply chaos engineering to serverless technologies

Amazon's light-weight library for chaos engineering on AWS. It can be used for EC2 and ECS (with EC2 launch type).

The ultimate resource for transitioning to freelancing for software developers 👩‍💻🇫🇮

A curated list of Chaos Engineering resources.

An easy interface to query the EC2 metadata API, with caching.

Chaos Engineering for your React apps.

Python library providing function decorators for configurable backoff and retry

Chaos engineering tool for simulating real-world distributed system failures

MySQL replication master-slave example

🐍λ✨ - A collection of useful decorators for making AWS Lambda handlers

Chaos Engineering Working Group

A Chaos Engineering Bootcamp

Multi Model Server is a tool for serving neural net models for inference

A reference Lambda function that predicts image labels for a image using a MXNet built deep learning model

Python CloudWatch Logging: Log Analytics and Application Intelligence

The Image Moderator Chatbot serverless reference architecture demonstrates how to leverage Amazon Rekognition's image moderation deep learning feature to automatically remove messages containing ex…

A reference architecture for deploying containerized microservices with Amazon ECS and AWS CloudFormation (YAML)