Repository navigation
Chaos Engineering
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
Simulating shitty network connections so you can build better systems.
A curated collection of publicly available resources on how technology and tech-savvy organizations around the world practice Site Reliability Engineering (SRE)
A Chaos Engineering Platform for Kubernetes.
A curated list of Chaos Engineering resources.
An easy to use and powerful chaos engineering experiment toolkit.（阿里巴巴开源的一款简单易用、功能强大的混沌实验注入工具）
Litmus helps SREs and developers practice chaos engineering in a Cloud-native way. Chaos experiments are published at the ChaosHub (https://hub.litmuschaos.io). Community notes is at https://hackmd.io/a4Zu_sH4TZGeih-xCimi3Q
Chaos testing, network emulation, and stress testing tool for containers
A powerful testing tool for Kubernetes clusters.
Chaos Engineering Toolkit & Orchestration for Developers
chaoskube periodically kills random pods in your Kubernetes cluster.
Gamified Chaos Engineering Tool for Kubernetes
Chaos engineering tool for simulating real-world distributed system failures
🐳 🚦 Docker Traffic Control - network rate limiting, emulating delays, losses, duplicates, corrupts and reorders of network packets using only container labels or a command-line interface.
Simulate API failures, throttling, and chaos — all from your command line.
Chaos Engineering for your React apps.
Simmy is a chaos-engineering and fault-injection tool, integrating with the Polly resilience project for .NET
Simplify your microservice development
A chaos engineering platform for supporting the complete fault drill lifecycle.
Chaos and resiliency testing tool for Kubernetes with a focus on improving performance under failure conditions. A CNCF sandbox project.