A hands-on distributed systems failure laboratory. Break canonical patterns (thundering herd, cascading retry storm, split-brain) in Docker, observe degradation in Grafana, apply architectural mitigations, and verify recovery against explicit invariant assertions.
What is the SreeNaresh1/IncidentLab GitHub project? Description: "A hands-on distributed systems failure laboratory. Break canonical patterns (thundering herd, cascading retry storm, split-brain) in Docker, observe degradation in Grafana, apply architectural mitigations, and verify recovery against explicit invariant assertions.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.
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