SUMMARIZATION

Sentry Regression Auto-Triage with Rollback Recommendation

On a new deploy, scores the Sentry error-rate jump against the prior release and, when the regression breaches a severity threshold, pages on-call via PagerDuty with a brief…

CategorySummarization
Enginesim
Difficultyadvanced
Triggerwebhook
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerVercel deploy succeededVercelVercel
  • ActionFetch Sentry error + blast-radius deltasSentrySentry
  • LogicScore severity and check page threshold
  • ActionSummarize regression + rollback recommendationOpenAI
  • OutputPage on-call via PagerDuty incidentPagerDutyPagerDuty

What it does

Acts as a first-pass triage analyst for risky deploys. It compares the live release's Sentry error rate to the release it replaced, scores the regression by magnitude and blast radius (sessions affected), and decides whether the situation warrants paging on-call. The page carries a concise brief and an explicit recommendation: roll back now, or watch closely.

When to use it

Use it when a bad deploy needs a human in minutes, not whenever someone next checks a dashboard. It separates cosmetic error bumps from genuine stability regressions so you only page for the latter.

How it works

  1. 1A Vercel deployment-succeeded webhook fires.
  2. 2Fetch Sentry error rate and affected-session counts for the new and prior releases and compute the delta.
  3. 3Score severity from delta size and user blast radius; branch on whether it clears the page threshold.
  4. 4If below threshold, end without paging.
  5. 5Summarize the regression and derive a rollback-or-watch recommendation.
  6. 6Open a PagerDuty incident carrying the brief to on-call.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect VercelDeploys, runtime logs, analytics.
  2. 2
    Connect SentryErrors, performance, releases.
  3. 3
    Connect PagerDutyIncidents, on-call, escalations.
  4. 4
    Connect OpenAIModels, embeddings, files.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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