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Site Reliability Engineering (AI)

Reviewed 19 July 2026 Canonical definition Part of: Agent Reliability & Deployment Terms →

Site reliability engineering for AI applies SRE principles, error budgets, service level objectives, toil reduction, and blameless post-mortems, to the operation of AI agent systems. It involves defining what 'reliable' means for agents (latency, accuracy, cost, compliance), measuring performance against those objectives, and using the error budget to balance stability against the pace of new agent deployments.

§01 / QUESTIONSterm: Site Reliability Engineering (AI)
Questions

Common questions.

What is Site Reliability Engineering (AI)?

Site reliability engineering for AI applies SRE principles, error budgets, service level objectives, toil reduction, and blameless post-mortems, to the operation of AI agent systems.

How is Site Reliability Engineering (AI) used in production?

It involves defining what 'reliable' means for agents (latency, accuracy, cost, compliance), measuring performance against those objectives, and using the error budget to balance stability against the pace of new agent deployments.

Which terms are related to Site Reliability Engineering (AI)?

Closely related concepts include Agent CI/CD, DORA (Digital Operational Resilience Act), Agent Discovery, Agent Load Balancing. Each is defined in the Prefactor glossary.

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