ENGINEERING

Weekly Flaky-Test Health Digest from the Ledger

On a weekly schedule, queries the BigQuery flake ledger for top offenders, week-over-week trend, and quarantine churn, then publishes a Confluence page and a Slack summary.

CategoryEngineering
Enginesim
Difficultybeginner
Triggerschedule
Steps5
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule fires
  • ActionQuery trailing-week metrics from flake ledgerGoogle BigQueryBigQuery
  • LogicRank offenders and compute week-over-week trend
  • ActionPublish or update Confluence health pageConfluenceConfluence
  • OutputPost top-offender summary to SlackSlack

What it does

Once a week it turns the raw flake ledger into a readable health report: the worst offenders by flake rate, how the overall flake count moved versus last week, which tests newly entered or exited quarantine, and total CI rerun time burned by flakes. It publishes a Confluence page for the record and a short Slack post for visibility.

When to use it

Use it to give engineering leadership and the test-infra team a recurring, no-effort pulse on test suite health and to keep deflaking work prioritized against the tests that hurt most.

How it works

  1. 1A weekly schedule trigger fires (e.g. Monday morning).
  2. 2The flow runs aggregate queries against the BigQuery flake ledger for the trailing week.
  3. 3Logic ranks top offenders, computes week-over-week delta, and lists quarantine entries and exits.
  4. 4It renders the metrics into a structured report body.
  5. 5A Confluence page is created or updated under the team's space.
  6. 6A concise summary with the top three offenders and the trend is posted to Slack.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect BigQueryDatasets, queries, schemas.
  2. 2
    Connect ConfluenceSpaces, pages, blueprints.
  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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