site-reliability

To define SLOs, you select service level indicators like availability, latency, or correctness, then set realistic targets based on historical performance. This creates measurable reliability goals that align service measurement with engineering trade-offs.

Error budget calculation uses burn-rate math to track reliability consumption against your SLO targets. When the burn rate exceeds defined thresholds, it triggers deployment freezes or slowdowns, guiding engineering trade-offs and preventing outages.

A blameless postmortem focuses on systemic issues rather than individual fault. You structure it by documenting incident timelines, identifying root causes without blame, and extracting actionable items to reduce future toil and improve on-call rotations.

Burn-rate alerting rules are set up by applying burn-rate math to your error budgets. You define threshold policies that trigger alerts when error budget consumption accelerates, ensuring on-call rotation responses happen before outages occur.

Yes, progressive delivery criteria define specific canary and rollback thresholds for your rollouts. By applying these criteria, you establish explicit thresholds that dictate when to halt or roll back deployments based on SLO performance.

Reducing toil is necessary to manage on-call rotations effectively because excessive manual operational work causes burnout and outages. You classify toil, prioritize automation, and apply error budget policies to balance engineering trade-offs.