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Chaos Engineering for Testers

Learn chaos engineering principles and practices. Master steady state hypothesis, chaos experiments, and building resilient systems through controlled failure testing.

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10
Lessons
10
Lessons
~15h
Est. Time
0%
Complete
Overall Progress0 of 59 sections completed
1
Chaos Engineering: Netflix Origins & The $2.7M Lesson

Discover how Netflix pioneered Chaos Engineering after a catastrophic AWS outage. Learn the 4 core principles, real-world economics, and how to apply chaos testing safely to build antifragile systems.

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1. Netflix Origins of Chaos Engineering

20 min

2. The 4 Core Principles

20 min

3. Chaos in Practice

15 min
2
Steady State, Hypothesis & Blast Radius: The $900K Mistake

Master the core principles of Chaos Engineering: defining steady state, forming strong hypotheses, and controlling blast radius. Learn how one company lost $900K by ignoring these fundamentals.

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1. Steady State First

20 min

2. Forming Strong Hypotheses

20 min

3. Putting It All Together

15 min
3
Chaos Experiments: CPU, Network & DB Failure—The $2.7M Black Friday

Run practical chaos experiments targeting CPU stress, network degradation, and database failure. Learn how ShopNow saved Black Friday by simulating these conditions before the real spike hit.

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1. Why Simulate CPU, Network & DB Failures

20 min

2. Hands-On Chaos Experiments

20 min

3. Combining Experiments

15 min
4
Chaos Tools: Gremlin, Chaos Monkey & Litmus—Choosing the Right Weapon

Deep dive into the leading chaos engineering tools. Learn when to use Chaos Monkey (Netflix), Gremlin (enterprise), or LitmusChaos (Kubernetes), with real-world examples and tool comparison.

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1. Chaos Monkey — The Original

20 min

2. Gremlin — Enterprise Chaos Platform

20 min

3. Tool Comparison & Selection

15 min
5
Chaos in CI/CD: The $1.8M Resilience Regression

Integrate chaos engineering directly into your CI/CD pipeline for continuous resilience testing. Learn how automated chaos prevented a $1.8M resilience regression at TechFlow.

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1. Why Automate Chaos in CI/CD

20 min

2. Implementing Automated Chaos

20 min

3. Chaos Engineering Career Path

15 min
6
Observing & Learning from Chaos: The $600K Blind Spot

Master the most important part of chaos engineering: observation and learning. Learn how proper observation prevented a $600K disaster at DataCorp by turning failures into concrete improvements.

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1. Observation — The Foundation

20 min

2. What to Observe

20 min

3. Blameless Culture

15 min
7
Safety & Rollback Strategies: The $2.1M Unsafe Chaos

Master the critical safety mechanisms for chaos engineering and feature releases: blast radius control, kill switches, automated rollback, and rollback plans that prevent disasters.

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1. Why Safety Is Non-Negotiable

20 min

2. Safety Mechanisms

20 min

3. Safety Culture

15 min
8
Chaos in Non-Production: The $1.1M Staging Gap

Master safe, effective chaos engineering in staging, dev, and test environments. Learn how proper non-prod chaos prevented a $1.1M production disaster at SafePay.

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1. Why Non-Production Chaos Is Essential

20 min

2. Making Staging Realistic

20 min

3. Hands-On Staging Chaos

15 min
9
Reporting Chaos Findings: The $3.2M Documentation Gap

Master the art of documenting, analyzing, and reporting chaos experiment findings. Learn how proper reporting turned chaos from "expensive hobby" to executive-sponsored program at ResilientX.

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1. Why Chaos Reporting Is Non-Negotiable

20 min

2. The Gold Standard Report Structure

20 min

3. Building Chaos Reporting Culture

15 min
10
Your First Chaos Experiment: From Zero to Confident

Your complete guided first chaos experiment—from hypothesis to execution to learning. Step-by-step safe setup, realistic environment, and clear observation so you can experience chaos engineering hands-on.

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1. Preparing Your First Experiment

20 min

2. Running Your First Experiment

20 min

3. The Learning Loop

15 min