“The system looks stable.” — until you start deliberately breaking things. Chaos engineering is the discipline of testing how a system responds to failure.
Why Chaos?¶
Production systems will fail. The question isn’t “if” but “when” and “how will we handle it.” Chaos engineering simulates failures in a controlled way — before they happen uncontrollably.
Litmus Chaos on Kubernetes¶
Litmus (CNCF) for chaos experiments: pod kill, node drain, network latency injection, disk fill. Experiments as YAML manifests, versioned in Git, triggered automatically in CI.
GameDays¶
Quarterly “GameDay”: the entire team watches how the system responds to simulated failures. Scenarios: database outage, DDoS, corrupted data, cloud region outage. Findings are documented and weak points are fixed.
Results¶
After 4 GameDays, we found 12 critical weaknesses that would have caused outages. MTTR decreased by 35% — the team knows how to respond because they’ve practiced it.
Break Things — On Purpose¶
Chaos engineering builds confidence. Better to find a weakness on a GameDay than on a Friday night in production.
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