The Glorious Art of Destroying Things on Purpose: an Introduction to Chaos Engineering
summary
Introduces chaos engineering as disciplined experiments that build confidence by doing real injections: uses chaos toolkit with k6 load and Kubernetes drivers to terminate a random pod while probing an API with 10 virtual users for 10 seconds. Defines a steady state hypothesis (five pods, zero error budget) and shows results: killing one of five pods passes, killing two fails, and detection takes about 3.7 seconds. Demo outputs a journal and recommends fixing load‑balancer retries and adding monitoring.
AI-written summary · about
chapters (7)
- 0:00Start
- 2:11Definition of Chaos Engineering
- 10:37Measuring the Outcome
- 14:42Chaos Toolkit
- 17:32Kubernetes Cluster
- 37:16Debrief
- 43:12Could You Share a Link to the Repository with Code Which You Used in Your Demo
related talks
39mChaos: Breaking your Systems to Make them Unbreakable
01h 02mPractical Chaos Engineering breaking things on purpose to make them more resilient against failure
40mJourney into the World of Chaos Engineering
46mDesigning a System for Chaos
05mLightning Talk: Chaos Engineering In Practice
37mChaos Engineering: The Fine Art of Breaking Stuff in Production on Purpose
18mChaos Engineering: Break It On Purpose
25mDestroy Your System To Make It More Reliable: An Easy Way To Start Chaos Engineering With LitmusChao
