ENGINEERING

Post-merge bump deploy watcher with rollback alert

After a lockfile-changing PR merges, watches the resulting Vercel deployments for the affected services and pages the owning on-call team in PagerDuty if any deploy fails…

CategoryEngineering
Enginesim
Difficultyadvanced
Triggerevent
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerLockfile PR mergedGitHubGitHub
  • ActionResolve affected services from the merged delta
  • ActionWatch Vercel deployments for those servicesVercelVercel
  • LogicBranch on deploy outcome and error signal
  • OutputPost green status comment on healthy deploysGitHubGitHub
  • OutputPage owning on-call on failure or error spikePagerDutyPagerDuty

What it does

Closes the loop after a dependency bump merges. It identifies which services were affected by the merged lockfile change, watches their Vercel deployments, and if any deployment errors or post-deploy error rates spike, it pages the on-call owner for that specific service in PagerDuty. This ties a bad upgrade directly to the engineers who can roll it back.

When to use it

Use it when dependency upgrades occasionally break production and the link between "that lockfile PR" and "this incident" is lost in the noise. It makes the blast radius observable at deploy time, not just at review time.

How it works

  1. 1A pull request that changed a lockfile is merged on GitHub.
  2. 2The affected services are resolved from the merged dependency delta.
  3. 3The corresponding Vercel deployments are tracked until they finish.
  4. 4A branch checks each deployment outcome and error signal.
  5. 5Healthy deploys post a green status comment back on the merged PR.
  6. 6Failed or degraded deploys page the owning service's on-call rotation in PagerDuty with the bump details.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect GitHubRepos, issues, pull requests, actions.
  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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