Chaos Engineering
Intentionally injecting failures into production systems to test resilience, identify weaknesses, and build confidence in system reliability.
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Why It Matters
AI-powered systems add complexity and unpredictable failure modes; chaos engineers who can stress-test these systems, including AI model failures and data pipeline disruptions, ensure organizations survive real-world outages.
How to Get Started
Read "Chaos Engineering" by Casey Rosenthal, learn Gremlin or Litmus (open-source) chaos tools, and start with simple experiments like killing a non-critical service instance and observing system behavior.
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