Kubernetes has become the backbone of modern application delivery, but its flexibility and scale also introduce new reliability risks that traditional monitoring and incident response can’t catch early enough.
This enterprise reliability ebook from Gremlin explores why many organisations experience a growing gap between perceived uptime and real-world resilience, and what it takes to close that gap as Kubernetes environments scale.
Rather than focusing on reactive firefighting, the ebook lays out a structured approach to resiliency management. It explains how teams can systematically identify reliability risks across clusters, nodes, and workloads, validate resilience through controlled testing, and track reliability posture over time using shared metrics and standards.
What you’ll learn
In this ebook, you’ll gain practical insight into:
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Common Kubernetes failure modes and why small issues can quickly cascade into large outages
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The difference between availability, resiliency, and reliability, and why all three matter
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A framework for building organisation-wide Kubernetes resiliency standards
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How to combine risk monitoring, metrics, and fault injection testing to surface hidden risks
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Where and how to test resilience across different stages of the software development lifecycle
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The roles and responsibilities needed to make Kubernetes reliability a shared, scalable practice
Why it matters
As Kubernetes environments grow more complex, reliability can’t depend on heroics or post-incident reviews alone.
This ebook provides a clear, practical roadmap for teams that want to move from reactive incident response to proactive resilience, reducing downtime, improving confidence in production systems, and enabling faster, safer innovation at scale.
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