Chaos engineering has proven its value for uncovering hidden reliability risks, but many organisations struggle to move beyond isolated experiments and make it a consistent, organisation-wide practice.
This playbook from Gremlin lays out a clear, phased approach to scaling chaos engineering across teams, services, and environments. Rather than treating resilience testing as a specialist activity, it focuses on building standards, processes, and automation that make reliability testing repeatable and efficient at scale.
Using real-world examples and practical guidance, the playbook shows how teams can prove value quickly, expand testing safely, and embed chaos engineering into everyday engineering workflows.
What you’ll learn
In this playbook, you’ll explore:
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How to start chaos engineering with a single high-impact service to demonstrate value fast
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Which customer-impacting metrics and health checks matter most during resilience tests
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How to identify and test critical dependencies before they cause outages
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The most common failure modes to prioritise when building a testing strategy
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How to standardise tests, schedules, and automation across multiple teams
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Ways to integrate chaos engineering into normal sprint cycles instead of reactive incident response
Why it matters
As systems grow more distributed and complex, reliability can’t depend on ad hoc testing or heroics during outages.
This playbook provides a practical roadmap for teams that want to scale chaos engineering responsibly, reduce downtime, lower mean time to recovery, and make resilience a shared capability across the organisation, not a niche skill.
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