DEVOPS

Block Vercel promote on Datadog Synthetics latency regression

On a manual promote request, triggers the Datadog Synthetic test suite against the Vercel preview and refuses the production promotion if p95 latency or availability falls below…

CategoryDevOps
Enginesim
Difficultyadvanced
Triggermanual
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerManual promote request with deployment ID
  • ActionResolve candidate preview URL from VercelVercelVercel
  • ActionRun Datadog Synthetic test batch against previewDatadogDatadog
  • LogicCompare p95 latency and success rate to baseline
  • ActionPromote to production or reject the promoteVercelVercel
  • OutputNotify Slack and log Datadog event on blockDatadogDatadog

What it does

When someone requests a production promote, this workflow kicks off your Datadog Synthetic test batch (API and browser checks) against the candidate Vercel preview URL, waits for results, and compares p95 response time and success rate to the baseline captured from the current production deployment. A regression past the budget blocks the promote and alerts on-call.

When to use it

Use it when latency and uptime, not just front-end scores, are your release gate. Ideal for API-heavy or globally-distributed apps already instrumented with Datadog Synthetics.

How it works

  1. 1A manual promote request triggers the workflow with the target Vercel deployment ID.
  2. 2The candidate preview URL is resolved from the Vercel API.
  3. 3The Datadog Synthetic test batch runs against that URL and the workflow polls until results land.
  4. 4A branch compares p95 latency and success rate to the baseline budget values.
  5. 5If the batch passes, the deployment is promoted to production; if it regresses, the promote is rejected.
  6. 6The outcome is sent to Slack and, on failure, a Datadog event is posted to mark the blocked release.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect VercelDeploys, runtime logs, analytics.
  2. 2
    Connect DatadogMetrics, traces, log search.
  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.

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