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Your cluster works in the demo. Then it goes to production, and the questions change: what happens when a node dies in the middle of a deploy, when a zone goes dark, when the only thing between you and gone is a backup nobody ever tested? Kubernetes in Production is written for the engineer who has to answer those questions at three in the morning.
This is not a getting-started guide. It assumes you can already create a deployment, and it takes up the harder problem of keeping one alive for real users through everything that can go wrong. Across seven parts, it builds the disciplines that separate a cluster that runs from one that keeps running: control planes and topologies engineered to lose a component and keep serving, networking you can actually debug, stateful workloads you can recover, a defense in depth that contains a breach instead of becoming one, capacity and cost you can manage as you scale, and the operational practices, observability, safe delivery, and incident response, that decide how a bad day ends.
Every chapter opens with a real failure and closes with the questions a design review should ask. Every principle is held against one standard: would this survive contact with production? The book is opinionated where production demands it, honest about tradeoffs everywhere, and built to make you the engineer who finds out, before the incident rather than during it, that the design was right.
Includes a consolidated production readiness checklist, a glossary, and runnable, version-noted examples throughout.
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