Building Confidence in System Behavior through Experiments - Chaos Engineering

Part I. Introduction

1 Why Do Chaos Engineering
 - How Does Chaos Engineering Differ from　Testing?
 - It’s Not Just for Netflix
 - Prerequisites for Chaos Engineering

2 Managing Complexity
 - Understanding Complex Systems
 - Example of Systemic Complexity
 - Takeaway from the Example

Part II. The Principles of Chaos

3 Hypothesize about Steady State.
 - Characterizing Steady State
 - Forming Hypotheses

4 Vary Real-World Events.

5 Run Experiments in Production.
 - State and Services
 - Input in Production
 - Other People’s Systems
 - Agents Making Changes
 - External Validity
 - Poor Excuses for Not Practicing Chaos
 - Get as Close as You Can

6 Automate Experiments to Run Continuously
 - Automatically Executing Experiments
 - Automatically Creating Experiments

7 Minimize Blast Radius

Part III. Chaos In Practice

8 Designing Experiments
 - 1. Pick a hypothesis
 - 2. Choose the scope of the experiment
 - 3. Identify the metrics you’re going to watch
 - 4. Notify the organization
 - 5. Run the experiment
 - 6. Analyze the results
 - 7. Increase the scope
 - 8. Automate

9 Chaos Maturity Model
 - Sophistication
 - Adoption
 - Draw the Map

10 Conclusion