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Release observability

See what every
release actually did.

Every chart knows which flag changed and when. Spot the regression, click the marker, dial it back.

Error rate0.02%↓ 0.11 since 14:02
p95 latency212 ms↓ 700 ms after rollback
Releases today386 in progress
Auto-rollbacks3all within 90 s

p95 latency · checkout

Last 6 h
v4.2 → 25%Auto rollback

Live releases

  • new-checkoutrolled back25%
  • search-ranker-v3healthy50%
  • agent-prompt-v15healthy5%
  • pricing-page-bcomplete100%
  • onboarding-tourwatching10%

Three questions every
release review asks.

Which flag caused it?

Every metric is sliced by flag and variant. The answer is one click away, not one meeting away.

errors / 1k requests · by variant

new-checkout · on4.1
new-checkout · off0.6
search-ranker · on0.9

exposure at detection

1%
5%
25%
50%
100%

caught at 5% · 412 users affected · rolled back in 38 s

Did we catch it early?

Regressions show up at 5% of traffic, when a few hundred people see them — not a few million.

What should we do now?

Alerts arrive with the fix attached. Dial back, pause the experiment or page the owner — from Slack or the dashboard.

p95 latency > 800 msSev 2

Started 14:02 · new-checkout moved to 25% at 14:01

Rheostat vs. the flags
you built in-house.

CapabilityRheostatIn-house
Metrics sliced by flag and variantYesNo
Automatic rollback on a ruleYesNo
Percentage rollouts with schedulesYesYes
Agent traces linked to releasesYesNo
Audit log of every changeYesYes
Evaluation in under 20 ms at the edgeYesNo

Stop reading dashboards
after the incident.

−61%
median time to recover across 1,900 teams in 2026