DEVOPS

Guard Production Promotion on Live Vitals

Intercepts a request to promote a staging deployment to production, runs a final synthetic Web Vitals and bundle check.

CategoryDevOps
Enginesim
Difficultyadvanced
Triggerwebhook
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerPromotion request webhookHTTP webhook
  • ActionRun synthetic vitals and bundle auditBrowserbase
  • LogicEvaluate against production budgets
  • ActionPromote deploy via Vercel API on passVercelVercel
  • ActionPage on-call on failPagerDutyPagerDuty
  • OutputAnnounce outcome in release channelSlack

What it does

Adds a last-mile safety check before a build goes live. When someone requests promotion of a staging deployment to production, this workflow runs a final synthetic audit of Web Vitals and bundle size, and only calls the Vercel promote API if everything passes. If it fails, the promotion is held and on-call is paged.

When to use it

Use it when production promotions are manual and you want an automated final gate that prevents a regressed build from reaching customers, with a human escalation path when the gate trips.

How it works

  1. 1A promotion-request webhook fires with the candidate deployment ID.
  2. 2A browser step runs a synthetic Web Vitals and bundle audit against the staging URL.
  3. 3A logic step evaluates results against production budgets.
  4. 4On pass, an action calls the Vercel API to promote the deployment to production.
  5. 5On fail, a PagerDuty incident is opened for on-call with the failing metrics.
  6. 6Either outcome is announced in the release Slack channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect BrowserbaseHeadless browsers, sessions, replays.
  3. 3
    Connect VercelDeploys, runtime logs, analytics.
  4. 4
    Connect PagerDutyIncidents, on-call, escalations.
  5. 5
    Connect SlackChannels, DMs, threads, mentions.
  6. 6
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  7. 7
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  8. 8
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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