Chaos Engineering Basics: Testing Your Systems

By SRE Reliability Team | 2026-06-05 | SRE Best Practices

# Chaos Engineering Basics: Testing Your Systems

In an ideal world, software always works, network connections never fail, and servers run indefinitely. In reality, systems are chaotic, and failures are inevitable. Chaos Engineering is the discipline of experimenting on a software system in production in order to build confidence in the system's capability to withstand turbulent and unexpected conditions.

What is Chaos Engineering?

Chaos Engineering is not about breaking things randomly without a purpose. It's about conducting thoughtful, planned experiments that teach us how our systems behave in the face of failure. By proactively introducing faults—like shutting down a critical server or simulating high network latency—we can identify weaknesses before they turn into full-blown customer-facing outages.

The Phases of Chaos Engineering

A well-executed chaos experiment generally follows these four steps:

1. Define the Steady State

Before you can measure the impact of an experiment, you need to understand what "normal" looks like. Identify measurable metrics that indicate your system is healthy. This could be HTTP response codes, latency metrics, or overall throughput. This baseline is your steady state.

2. Hypothesize

Formulate a hypothesis about how the system will react to a specific failure. For example: "If the product recommendation service fails, the main store page should still load within 500ms, but with a generic fallback recommendation."

3. Inject the Failure

Introduce the fault into the system. Start small. Perhaps you begin by targeting a single instance or a small segment of traffic in a staging environment before moving to production. Tools like Gremlin or Chaos Mesh can help automate and control this process.

4. Observe and Learn

Measure the system's metrics against your steady state. Did the system behave as hypothesized? If your site stayed up and performance remained acceptable, you've built confidence. If something unexpected broke, you've found a vulnerability to fix.

The Value of Breaking Things

Adopting chaos engineering provides several key benefits:

Ultimately, chaos engineering shifts the operational mindset from a reactive approach—waiting for things to break—to a proactive one, where system resilience is continuously tested and verified.