Validates system fault tolerance through controlled failure injection and automated resilience experiments.
This skill empowers developers to build more reliable distributed systems by implementing core chaos engineering principles directly within their workflow. It provides a structured framework for defining steady-state metrics, automating failure injections across network and infrastructure layers, and validating system recovery paths using AI-driven agents. By facilitating proactive testing and automated runbook generation, it helps teams identify architectural weaknesses and improve disaster recovery protocols before they impact production users.
主な機能
01AI-agent coordination for running complex, multi-service resilience experiments
02Gradual blast radius control from development to production environments
03Steady-state metric definition and real-time monitoring
04Automated failure injection for network, infrastructure, and application layers
05Automatic rollback triggers based on configurable error rate thresholds
060 GitHub stars
ユースケース
01Testing microservices resilience against database latency or network partitions
02Building confidence in automated failover mechanisms before major production launches
03Validating disaster recovery procedures for distributed cloud applications
