What are the best practices in chaos engineering?

What are the best practices in chaos engineering?

Chaos engineering involves experimenting on a system to build confidence in its resilience. Key practices include defining steady states, injecting failures, and monitoring the system's response.

Can you explain how to define a steady state?

A steady state is a condition where the system operates normally. To define it, identify key metrics that indicate system health, such as response time and error rates, and establish baseline values.

What types of failures should I inject?

You can inject various types of failures, such as network latency, server crashes, or resource exhaustion. The goal is to simulate real-world issues that could affect system performance.

How do I monitor the system during these experiments?

Use monitoring tools to track the defined metrics in real-time. Set up alerts for any anomalies and analyze the data post-experiment to understand the impact of the injected failures.

What should I do after the chaos experiment?

After the experiment, review the results, document findings, and adjust your system or processes based on the insights gained. Continuous improvement is key in chaos engineering.