ENGINEERING
Post-Merge Dependency Watch: Honeycomb Regression Sweep After Deploy
After a dependency PR merges and ships to production, sweeps Honeycomb for latency and error regressions across all affected endpoints over the first hour and files a GitHub…
How it runs
The automated pipeline, trigger to output.
- TriggerDependency PR merged to mainGitHub
- ActionResolve affected endpoints from diffGitHub
- ActionSweep Honeycomb per endpoint vs baselineHoneycomb
- LogicFlag endpoints over regression threshold
- OutputOpen GitHub issue and alert SlackSlack
What it does
Keeps watching after the canary is over. Once a dependency upgrade merges and reaches production, it sweeps Honeycomb across every endpoint that uses the changed package for the first hour and raises a tracked issue if anything quietly degrades that the canary did not catch.
When to use it
Use it because canary traffic is a sample, not the whole story. Some regressions only surface under full production load or on rarely hit endpoints. This catches the slow leak after merge and turns it into an actionable issue.
How it works
- 1A merged PR carrying the `dependency` label triggers the watch.
- 2The workflow resolves which endpoints exercise the changed package from the PR diff in GitHub.
- 3It queries Honeycomb hourly across those endpoints for p95 and error deltas versus the pre-merge baseline.
- 4A logic step flags any endpoint that crosses the regression threshold.
- 5On a flag it opens a GitHub issue scoped to the offending endpoint and version, then posts the summary to Slack for the owning team.
Set it up
What you configure once, before turning it on.
- 1Connect GitHubRepos, issues, pull requests, actions.
- 2Connect HoneycombDistributed traces and queries.
- 3Connect SlackChannels, DMs, threads, mentions.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.
Run this workflow in your colony.
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