DEVOPS

Page on-call for a Sentry spike with the suspect deploy attached

When Sentry detects an error-rate spike, it correlates the timing with recent Vercel deployments and opens a PagerDuty incident enriched with the most likely culprit release…

CategoryDevOps
Enginesim
Difficultyintermediate
Triggerwebhook
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerSentry error-spike alert webhookSentrySentry
  • ActionQuery Vercel deploys around the spike start timeVercelVercel
  • LogicRank and select most likely culprit release
  • ActionOpen PagerDuty incident with suspect releasePagerDutyPagerDuty
  • OutputAppend commit, author, and deploy link to incidentPagerDutyPagerDuty

What it does

Turns a noisy Sentry spike alert into an actionable page. When Sentry fires a metric or issue alert, the flow looks up Vercel deployments around the spike's start time, picks the deploy that most likely introduced it, and opens a PagerDuty incident that already names the suspect release, commit, and author so the responder starts with a hypothesis instead of a blank page.

When to use it

Use it when your on-call gets paged for error spikes but has to manually dig through the deploy log every time to figure out what changed. This front-loads that correlation into the incident itself.

How it works

  1. 1A Sentry alert webhook fires for an error-rate or issue spike.
  2. 2The flow reads the spike start time and affected project from the payload.
  3. 3It queries Vercel for production deployments in the minutes before the spike.
  4. 4Logic ranks candidates by proximity and selects the most likely culprit.
  5. 5It opens a PagerDuty incident titled with the issue and suspect release.
  6. 6It appends the commit, author, and deploy link as incident context.

Set it up

What you configure once, before turning it on.

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

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