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Getting started with Chaos Engineering

Talkat NDC Sydney 2018 · 2018-09-17..09-21· [devops-and-delivery]
slides:none on file

Chaos Engineering runs controlled failures against production-like systems to prove resilience: here an auto‑scaling group of 20 instances has 10 instances killed over 10 minutes via chaos monkey CLI to verify replacement and service continuity; monitoring collects ~50,000 metric streams (about 4.8 million metrics in seven minutes) and uses tracing with Jaeger. Tools discussed include Chaos Toolkit, Gremlin and in‑house VM‑canary; common tests are instance shutdowns, network latency/security group cuts, and CPU/IO saturation.

AI-written summary · about

  1. 0:00Start
  2. 10:23Principles of Chaos Engineering
  3. 12:59Monitoring
  4. 16:00Origins of Chaos Engineering
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