Simulating shitty network connections so you can build better systems.
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Updated
Apr 28, 2024 - Go
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 Chaos Engineering Platform for Kubernetes.
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
chaoskube periodically kills random pods in your Kubernetes cluster.
Chaos engineering tool for simulating real-world distributed system failures
Simplify your microservice development
A chaos engineering platform for supporting the complete fault drill lifecycle.
chaos engineering via kubernetes operator
A Chaos Engineering toolkit.
testcase is an opinionated testing framework to support test driven design.
Extension for injecting faults into k6 tests
Go client to the Chaos Monkey REST API
Kubernetes-native framework for declarative testing of distributed systems.
Prometheus Exporter for Litmus Chaos Metrics
A lightweight kubernetes operator to test cluster resilience via chaos engineering 💣 ☸️
Chaos engineering tool written in C/Go to test the resilience of TCP/UDP-based applications within Kubernetes environments, simulating various network conditions and failures to ensure the reliability of the overall system.
Contains everything related to chaos engineering in Zeebe, which means chaos experiments, hypothesis backlog etc.
xk6 extension for running chaos experiments with k6 💣