Reliability used to be something you inspected at the end. Then it became something you engineered from the start. Now it must be engineered for systems that do not behave the same way twice. This is a practitioner's guide to Site Reliability Engineering in the enterprise. It covers the foundations that have not changed: service level objectives, error budgets, observability, incident command, and blameless learning. It also covers the engineering that has, from probabilistic services and accelerator-bound capacity to agents that act on production and >NEW IN THE SECOND EDITION > Four new chapters: AIOps, reliability engineering for AI systems, agentic operations, and AI governance > Platform engineering, progressive delivery, FinOps, and DORA metrics > Eighteen diagrams, eight copy-ready templates, and a maturity model > Every chapter reworked; roughly a third of the material is new
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