SUMMARIZATION

Sentry post-deploy error spike to PagerDuty with rollback call

When Sentry reports a sharp error spike on a freshly deployed release, it summarizes the blast radius, makes an explicit rollback recommendation.

CategorySummarization
Enginesim
Difficultyadvanced
Triggerevent
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerSentry post-deploy error-spike alertSentrySentry
  • ActionFetch spiking issues and session impactSentrySentry
  • LogicConfirm deploy correlation + severity threshold
  • ActionWrite blast-radius summary and rollback callOpenAI
  • OutputPage on-call via PagerDuty with briefPagerDutyPagerDuty

What it does

It listens for Sentry alerts that fire shortly after a deploy, correlates the spiking issues to the new release, and assesses blast radius (affected users, sessions, endpoints). It then writes a decision-oriented brief that states whether the evidence favors an immediate rollback and pages the on-call engineer with that recommendation.

When to use it

Use it for high-traffic services where a bad deploy can burn users fast and the on-call needs a rollback decision, not raw alert data, the moment they get paged.

How it works

  1. 1A Sentry alert webhook fires on a post-deploy error spike.
  2. 2The flow fetches the spiking issues and the release's session impact from Sentry.
  3. 3A logic step decides if the spike is deploy-correlated and severe enough to escalate.
  4. 4An OpenAI step writes a blast-radius summary and an explicit rollback recommendation.
  5. 5PagerDuty pages the on-call with the brief as the incident description.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect SentryErrors, performance, releases.
  2. 2
    Connect OpenAIModels, embeddings, files.
  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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