DEVOPS

Publish a weekly stale-flag debt digest to Confluence and Slack

Compiles every flag at 100% for 30+ days into a ranked debt report — count, age, and owning team — publishes it to Confluence and posts a summary to Slack.

CategoryDevOps
Enginesim
Difficultybeginner
Triggerschedule
Steps6
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule fires the digest run
  • ActionPull flag state and ages from DatadogDatadogDatadog
  • LogicFilter to 100%-for-30-days and group by team
  • ActionEnrich owning team from GitHub historyGitHubGitHub
  • ActionPublish ranked debt report to ConfluenceConfluenceConfluence
  • OutputPost digest summary to SlackSlack

What it does

This workflow makes flag debt visible without touching any code. Weekly it gathers every flag that has been at 100% for 30+ days, ranks them by age, groups them by owning team, and publishes a clean report to Confluence plus a short summary to Slack. Over time the page shows whether debt is shrinking or growing.

When to use it

Use it when the problem is awareness, not tooling — when leadership wants a trend line on stale flags and teams need a shared scoreboard before you automate removals. It pairs well with the PR-authoring reapers as the reporting layer.

How it works

A weekly schedule fires the run. The workflow pulls flag rollout state and last-change dates from Datadog and filters to flags at 100% for 30+ days. It enriches each with an owning team inferred from GitHub history, then aggregates counts and oldest-flag age per team. It writes or updates a dated Confluence page with the ranked table and a week-over-week delta, and posts a Slack digest linking the page and calling out the worst offenders.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect DatadogMetrics, traces, log search.
  2. 2
    Connect GitHubRepos, issues, pull requests, actions.
  3. 3
    Connect ConfluenceSpaces, pages, blueprints.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  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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