ENGINEERING
Freeze GitHub deploys when a Honeycomb SLO burns too fast
When a Honeycomb burn-rate alert fires, this flow flips a GitHub branch-protection ruleset to block merges to the deploy branch and posts the freeze to Slack so nobody ships…
How it runs
The automated pipeline, trigger to output.
- TriggerHoneycomb burn-rate alert webhookHoneycomb
- LogicQualify as fast-burn (not slow-burn/recovery)
- ActionEnable GitHub deploy-freeze branch rulesetGitHub
- ActionPost freeze notice to Slack with SLO + burn rateSlack
- OutputEmit freeze reason for the unfreeze job
What it does
Watches for Honeycomb SLO burn-rate alerts and, when one trips the fast-burn threshold, automatically engages a deploy freeze by enabling a restrictive GitHub branch-protection ruleset on your release branch. It then announces the freeze in Slack with the SLO name, current burn rate, and budget remaining.
When to use it
Use it when your team ships continuously and a fast-burning error budget should pause new risk automatically rather than waiting for someone to notice the dashboard. Ideal for services with a defined Honeycomb SLO and a single protected deploy branch.
How it works
- 1Honeycomb sends a burn-rate alert webhook to the workflow.
- 2A logic step checks the alert is a fast-burn (e.g. 14.4x over 1h) and not a slow-burn or recovery notice.
- 3If it qualifies, GitHub enables the lockdown ruleset that requires an override approval to merge.
- 4A Slack message posts the freeze with SLO, burn rate, budget left, and the Honeycomb link.
- 5The flow records the freeze reason as its output for the unfreeze companion job.
Set it up
What you configure once, before turning it on.
- 1Connect HoneycombDistributed traces and queries.
- 2Connect GitHubRepos, issues, pull requests, actions.
- 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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