ENGINEERING
Post-deploy canary: catch query slowdowns and gate a rollback
After each GitHub deploy this watches Honeycomb for new query latency regressions, and if the just-shipped change is the clear cause it pages on-call and proposes a rollback…
How it runs
The automated pipeline, trigger to output.
- TriggerGitHub deployment event firesGitHub
- ActionQuery Honeycomb latency on touched paths after soakHoneycomb
- LogicCompare post-deploy latency to baseline
- ActionPage on-call if regression attributed to deployPagerDuty
- OutputPost rollback recommendation to SlackSlack
What it does
Acts as an automatic canary tied to the deploy itself. Right after a release it watches the queries that release could touch, and if latency degrades it attributes the regression to the new deploy and escalates with a rollback recommendation.
When to use it
Use it on services where a bad query plan can ship silently and you want the deploy that caused it caught within minutes, not at the next morning's digest.
How it works
- 1A GitHub deployment event triggers the flow with the released commit range.
- 2After a soak window it queries Honeycomb for query latency on paths the commits touched.
- 3A decision step compares post-deploy latency to the pre-deploy baseline.
- 4If a regression clears the threshold and aligns with the deploy, it pages on-call via PagerDuty.
- 5It posts a Slack message naming the suspect commits with a rollback recommendation.
- 6If latency is clean, the run closes silently with a logged all-clear.
Set it up
What you configure once, before turning it on.
- 1Connect GitHubRepos, issues, pull requests, actions.
- 2Connect HoneycombDistributed traces and queries.
- 3Connect PagerDutyIncidents, on-call, escalations.
- 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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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.

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