DEVOPS

Nightly Lighthouse trend on the staging Vercel alias

On a nightly schedule, audits the current Vercel staging alias with Lighthouse, writes the scores to BigQuery for trend tracking.

CategoryDevOps
Enginesim
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNightly schedule
  • ActionResolve current Vercel staging aliasVercelVercel
  • ActionRun Lighthouse audit on stagingBrowserbase
  • ActionAppend scores to BigQuery trend tableGoogle BigQueryBigQuery
  • LogicCheck rolling budget
  • OutputPage on-call via PagerDuty on failurePagerDutyPagerDuty

What it does

This runs the QA gate on a cadence rather than per-deploy. Each night it audits whatever is currently promoted to the staging alias, appends the scores to a BigQuery table for long-term trend analysis, and raises a PagerDuty incident if the build has drifted below your rolling budget since the last green night.

When to use it

Use this when you want to catch slow performance decay that no single PR triggers, such as growing bundle size or third-party script creep. The BigQuery history powers dashboards and the PagerDuty hook ensures regressions get owned overnight, not discovered by users.

How it works

  1. 1A nightly schedule fires the workflow.
  2. 2An action resolves the current Vercel staging alias URL.
  3. 3A Lighthouse run audits the alias and captures full category scores and metrics.
  4. 4The scores are appended to a BigQuery table keyed by date and commit.
  5. 5A logic step compares against the rolling budget; if it fails, a PagerDuty incident is created with the metric breakdown.

Set it up

What you configure once, before turning it on.

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

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