A powerful testing tool for Kubernetes clusters.
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Updated
Nov 10, 2023 - Python
Chaos engineering is the discipline of experimenting on a software system in production in order to build confidence in the system's capability to withstand turbulent and unexpected conditions. Chaos engineering is a disciplined approach to identifying failures before they become outages
A powerful testing tool for Kubernetes clusters.
Chaos Engineering Toolkit & Orchestration for Developers
Chaos and resiliency testing tool for Kubernetes with a focus on improving performance under failure conditions. A CNCF sandbox project.
Collection of AWS SSM Documents to perform Chaos Engineering experiments
Kubernetes driver extension of the Chaos Toolkit probes and actions API
🐵 Literally a Chaos Monkey for your Kubernetes clusters
OpenShift Guide. Learn about the Red Hat OpenShift Container Platform, Data Science, Code Ready Containers, Podman, Buildah, and Kubernetes.
Chaos engineering systems invented at KTH Royal Institute of Technology. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-320638
Chaos Toolkit Extension for AWS
Chaos Injection library for AWS Lambda
DEPRECATED Collection of python scripts to run failure injection on AWS infrastructure
Solution to setup AWS Fargate to run multi-region distributed performance testing.
🧘♀️ Lightweight fault tolerant primitives for your modern asyncio Python microservices
The Chaos Toolkit core library
Prototype implementation of Service-Level Fault Injection Testing in Python.
Chaos for Clouds
AWS Lambda Layers to inject latency into AWS Lambda Functions
App-level Chaos Engineering
Custom Chaos Toolkit extension to simulate AZ failure/failover on supported AWS resources
Chaos Toolkit Extension for Azure