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2026-07-17T10:10:52Z

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'''Site Reliability Engineering''' (SRE) is a discipline that applies software engineering principles to operations problems, treating infrastructure and service management as a software problem rather than a manual one. Originated at Google in the early 2000s by Ben Treynor Sloss, SRE represents a fundamental rethinking of how organizations maintain complex distributed systems: instead of hiring more operators to manage more systems, SRE asks how automation, engineering, and rigorous measurement can make a small number of engineers responsible for a large number of services.

The core insight of SRE is that reliability is not merely a technical property but a '''product feature''' — and like all product features, it must be traded off against other features, including the feature of rapid development. A system that is 100% reliable is a system that never changes, and a system that never changes is a system that cannot adapt to new requirements. SRE formalizes this tradeoff through the concept of the [[Error budget|error budget]], a quantitative allowance for unreliability that balances the velocity of feature development against the stability of the production environment.

== The SRE Model: Engineering Instead of Operations ==

Traditional operations teams are organized around '''tickets''': an alert fires, an operator receives a page, the operator diagnoses and remediates the problem, and the incident is closed. SRE replaces this model with '''engineering''': when an alert fires, the SRE team asks not merely how

Site Reliability Engineering - Revision history

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