How to Scale Chaos Engineering
Chaos Engineering only delivers real results when it’s done consistently and at scale. This playbook walks you through how top engineering teams prove value with a single service, define customer-impacting health checks, test the dependencies that cause most outages, and build repeatable processes that turn chaos experiments into a mature reliability program.
Whether you’re starting from scratch or scaling testing across dozens of services, this guide gives you a clear, practical framework for strengthening uptime and reducing risk.
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About the Authors
Jordan Pritchard
Director of Infrastructure & Site Reliability Engineering
Michael Kehoe
Architect of reliable, scalable infrastructure
Rodney Lester
Technical Lead, Reliability Pillar of Well Architected Program
Tammy Butow
Principal SRE
Jay Holler
Manager, Site Reliability Engineering
Ramin Keene
Founder
Walk away with a blueprint your teams can use immediately to strengthen critical paths, validate dependencies, and build a long-term reliability program that scales.
- Learn how to identify a critical service, define meaningful health checks, and uncover failure modes that impact real users.
- See how leading teams map and test dependencies, standardize reliability tests, and integrate reviews into existing engineering workflows.
- Get a step-by-step approach for scaling Chaos Engineering across your organization with automation, repeatable processes, and ongoing coverage.
Avoid downtime. Use Gremlin to turn failure into resilience.
Gremlin empowers you to proactively root out failure before it causes downtime. See how you can harness chaos to build resilient systems by requesting a demo of Gremlin.
