DEVOPS

Watch new Vercel deploys for Sentry regression spikes

When a Vercel production deploy goes live, watches Sentry for a burst of new or regressed issues tied to that release and alerts the on-call channel if the error rate climbs past…

CategoryDevOps
Enginesim
Difficultyintermediate
Triggerwebhook
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerVercel deployment succeeded (production)VercelVercel
  • LogicKeep only production environment deploys
  • ActionQuery Sentry for new/regressed issues in this releaseSentrySentry
  • LogicCompare post-deploy error rate vs baseline threshold
  • OutputAlert on-call Slack channel with offending release and top issuesSlack

What it does

Links every production deploy to the error behavior that immediately follows it. After a Vercel deployment succeeds, it polls Sentry for issues first seen (or marked regressed) in the new release version and compares the post-deploy error rate to the pre-deploy baseline. If errors spike past your tolerance, it pings the on-call Slack channel with the offending release and top issues.

When to use it

Use it when you ship to Vercel several times a day and want an automatic early-warning system that ties a regression back to the exact release that caused it, instead of discovering it from customer reports.

How it works

  1. 1A Vercel deployment-succeeded webhook fires with the release SHA and environment.
  2. 2A filter keeps only production deployments.
  3. 3The flow queries Sentry for new and regressed issues scoped to that release version over the following window.
  4. 4A branch compares the post-deploy error count against the trailing baseline.
  5. 5If the spike exceeds the threshold, it posts the release, delta, and top three issues to the on-call Slack channel; otherwise it records an all-clear.

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 SlackChannels, DMs, threads, mentions.
  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.

Run this workflow in your colony.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.