chaos-engineering-fundamentals

# Chaos Engineering Fundamentals

Principles and practices for chaos engineering - proactively discovering system weaknesses through controlled experiments.

## When to Use This Skill

- Implementing chaos engineering practices
- Designing fault injection experiments
- Building confidence in system resilience
- Discovering hidden failure modes
- Validating disaster recovery

## What is Chaos Engineering?

```text
Chaos Engineering = Proactive resilience testing

Traditional testing: "Does it work when everything is right?"
Chaos engineering: "Does it work when things go wrong?"

Principle:
Build confidence in the system's ability to withstand
turbulent conditions in production.

Not about breaking things randomly.
About controlled experiments to learn.
```

## The Chaos Engineering Loop

```text
┌─────────────────────────────────────────────────────────┐
│                CHAOS ENGINEERING LOOP                    │
│                                                          │
│   ┌─────────┐     ┌─────────┐     ┌─────────┐          │
│   │ Define  │────►│ Inject  │────►│ Observe │          │
│   │ Steady  │     │ Chaos   │     │ Results │          │
│   │ State   │     │         │     │         │          │
│   └─────────┘     └─────────┘     └────┬────┘          │
│        ▲                               │                │
│        │                               │                │
│        │          ┌─────────┐          │                │
│        └──────────│ Improve │◄─────────┘                │
│                   │ System  │                           │
│                   └─────────┘                           │
└─────────────────────────────────────────────────────────┘
```

## Core Principles

### 1. Build Hypothesis Around Steady State

```text
Steady State = Normal system behavior

Define measurable indicators:
- Request success rate: 99.9%
- Latency p99: < 200ms
- Orders processed/minute: > 100
- User sessions active: > 10,000

Hypothesis format:
"When [fau