Chapter D · 4 of 4~10 min

SLO lab

**Error budgets, burn rate, and release gates** — ship fast without silently breaking quality.

Reviewed July 2026 · interactive lab

Paths & resources for this lesson

1Try it yourself

Playground

SLO lab

Match the signal to page, rollback, or freeze risky releases.

p95 latency 2× baseline for 15 min

2Read & reflect

Recap

#What you just did

You matched latency, quality, and budget signals to page, rollback, or freeze releases.

Teach

#Pattern

# Example AI app SLOs
latency_p95: 3s
groundedness: 0.85
error_budget_window: 30d
alert: burn_rate > 2x for 1h → freeze risky deploys

Pair multi-window burn alerts with runbooks — page humans before users flood support.

Use it

#When you'd use this

Watch out

#Watch out

Too many SLOs → alert fatigue. Start with latency + one quality metric.

Try next

#Try this next

Write one SLO and error budget for your capstone chat endpoint.

3Spark check

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