DEVOPS
Auto-rollback Vercel promotion when preview errors spike in Sentry
After a Vercel preview is promoted, it drives synthetic traffic for a short bake window, checks Sentry for a new-error spike.
How it runs
The automated pipeline, trigger to output.
- TriggerVercel deployment promoted to productionVercel
- ActionDrive synthetic traffic during bake windowBrowserbase
- ActionQuery Sentry for new release errorsSentry
- LogicErrors breach budget?
- ActionRoll back to previous production deployVercel
- OutputNotify team with Sentry issuesSlack
What it does
This workflow adds a post-promotion safety net. Once a preview is promoted to production, it sends synthetic traffic through the critical user flows for a short bake window, then queries Sentry for newly introduced errors tied to that release. If new errors breach the configured error budget, it immediately rolls back to the prior production deployment via the Vercel API and posts the offending Sentry issues to Slack.
When to use it
Use it when a smoke check at build time is not enough and you need to catch runtime errors that only appear under real traffic. It gives you fast, automatic recovery instead of waiting for users to report a broken release.
How it works
- 1Vercel fires a deployment promoted-to-production event.
- 2A headless browser exercises the critical flows to generate synthetic traffic during the bake window.
- 3The flow queries Sentry for new errors attributed to the release.
- 4A branch checks whether new errors exceed the error budget.
- 5On breach, it rolls back to the previous production deployment via Vercel.
- 6It posts the breaching Sentry issues and rollback status to Slack.
Set it up
What you configure once, before turning it on.
- 1Connect VercelDeploys, runtime logs, analytics.
- 2Connect BrowserbaseHeadless browsers, sessions, replays.
- 3Connect SentryErrors, performance, releases.
- 4Connect SlackChannels, DMs, threads, mentions.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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