Chaos Engineering
Course Index
28 Lessons · 3 Sections
Master Chaos Engineering — the Netflix-pioneered discipline of deliberately injecting failures to find weaknesses before disasters do. Covers AWS FIS, Chaos Monkey, Gremlin, Chaos Mesh, LitmusChaos, GameDays & AI-powered autonomous chaos 2026. Includes 4 builds: AWS FIS experiment, K8s Chaos Mesh, GameDay exercise & CI/CD chaos integration.
28Lessons
3Sections
4Projects
FreeAccess
Section 1Chaos Engineering Fundamentals & ToolsLessons 1–10
Lesson 1
What is Chaos Engineering? Principles & History
Lesson 2
The Chaos Engineering Process: Hypothesise & Test
Lesson 3
Steady State: Defining Normal System Behaviour
Lesson 4
Blast Radius: Safe & Contained Experiments
Lesson 5
AWS Fault Injection Simulator (FIS)
Lesson 6
Chaos Monkey & the Netflix Simian Army
Lesson 7
Gremlin: Managed Chaos Engineering Platform
Lesson 8
Chaos Mesh: Kubernetes-Native Chaos
Lesson 9
LitmusChaos: CNCF Chaos Engineering
Lesson 10
Network Chaos: Latency, Packet Loss & Partition
Section 2Experiment Types, GameDays & ProductionLessons 11–22
Lesson 11
CPU & Memory Stress Experiments
Lesson 12
Disk & I/O Chaos Experiments
Lesson 13
Pod & Node Failure Experiments in Kubernetes
Lesson 14
Database Chaos: Connection Failures & Timeouts
Lesson 15
DNS & API Dependency Failure Experiments
Lesson 16
Chaos Engineering for Microservices
Lesson 17
GameDays: Running Chaos Experiments as Team Drills
Lesson 18
Chaos Engineering Observability & Metrics
Lesson 19
Chaos Engineering in CI/CD Pipelines
Lesson 20
Security Chaos Engineering
Lesson 21
Chaos Engineering Maturity Model
Lesson 22
Chaos Engineering in 2026: AI & Autonomous Chaos
Section 3Anti-Patterns, Building Practice & ProjectsLessons 23–28