DEVOPS
Zero-Traffic Feature-Flag Retirement from Datadog Metrics
Checks Datadog flag-evaluation metrics weekly and proposes retiring any flag that has had zero evaluations for 30 days, opening a draft PR and a Linear cleanup ticket.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly schedule fires
- ActionQuery flag evaluation counts in DatadogDatadog
- LogicIsolate flags with zero traffic for 30d
- ActionOpen draft removal PRGitHub
- ActionFile cleanup ticket in LinearLinear
- OutputPost cold-flag summary to SlackSlack
What it does
Looks at how often each feature flag is actually evaluated in production using Datadog metrics, and flags any that have gone completely cold. A flag with zero evaluations for 30 days is almost certainly dead code, so the workflow drafts a removal PR and files a tracking ticket.
When to use it
Use it when sunset dates aren't reliable but you do emit a flag-evaluation metric. Traffic, not a calendar field, decides what's safe to remove.
How it works
- 1A weekly schedule starts the run.
- 2Datadog is queried for per-flag evaluation counts over the last 30 days.
- 3A logic step isolates flags with a count of zero.
- 4GitHub opens a draft PR removing each cold flag so a human confirms before merge.
- 5Linear creates a cleanup ticket linked to the PR and assigned to the flag's owner.
- 6A Slack summary lists every cold flag, its last-seen date, and the linked PR.
Set it up
What you configure once, before turning it on.
- 1Connect DatadogMetrics, traces, log search.
- 2Connect GitHubRepos, issues, pull requests, actions.
- 3Connect LinearIssues, projects, cycles, triage.
- 4Connect SlackChannels, DMs, threads, mentions.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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