🔨 Destroy Terraform resources by playing DOOM
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Updated
May 26, 2024 - Rust
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
🔨 Destroy Terraform resources by playing DOOM
PoC of a chaos testing tool for tcp connections written in go.
Chaos Monkey for Spring Boot
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
This repository is a nodejs based microservices built with the monorepo strategy
🐺 A Server Chaos Maker, Set up in Minutes.
Database containing the content for Steadybit's Reliability Hub
A Steadybit extension to execute Postman collections via Postman Cloud Api
Chaos Toolkit extension for Google Cloud Platform
A chaos engineering platform for supporting the complete fault drill lifecycle.
An AKS workshop based on the eShop application
sample applications illustrating usage of codecentric's chaos monkey library for microservices created using spring boot and spring cloud
Contains everything related to chaos engineering in Zeebe, which means chaos experiments, hypothesis backlog etc.
The Steadybit EventKit enables extensions to consume Steadybit events (similar to web hooks).
The Steadybit ActionKit enables the extension of Steadybit with new action capabilities that you can use within experiments.
A Steadybit extension for container based actions (discovery / attacks)
A Steadybit extension for host based actions (discovery / attacks)
Chaos and resiliency testing tool for Kubernetes with a focus on improving performance under failure conditions. A CNCF sandbox project.
Extension for injecting faults into k6 tests
🐒 🔥 Datadog Failure Injection System for Kubernetes