ENGINEERING

Auto-unfreeze GitHub deploys when the SLO budget recovers

On a schedule, this flow re-checks the Honeycomb SLO and, once the burn rate has cooled below the safe threshold for a sustained window, lifts the GitHub deploy freeze and tells…

CategoryEngineering
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerSchedule: re-check SLO every few minutes
  • ActionQuery Honeycomb SLO burn rate + budgetHoneycomb
  • LogicConfirm sustained recovery + active freeze
  • ActionDisable GitHub deploy-freeze rulesetGitHubGitHub
  • OutputPost 'deploys reopened' to SlackSlack

What it does

Closes the loop on a deploy freeze. It periodically queries the Honeycomb SLO that triggered a freeze and, when burn rate has stayed under the safe threshold long enough to trust the recovery, disables the lockdown branch ruleset in GitHub and announces that deploys are open again.

When to use it

Pair it with a burn-rate freeze job so freezes lift themselves instead of lingering until someone remembers. Use it for any service where a recovered error budget should restore normal shipping without manual toggling.

How it works

  1. 1A schedule fires every few minutes during business hours.
  2. 2The flow queries the Honeycomb SLO for current burn rate and budget remaining.
  3. 3A logic step confirms burn rate has stayed below the safe threshold for the full sustained window and that a freeze is actually active.
  4. 4If clear, GitHub disables the deploy-freeze ruleset to restore normal merges.
  5. 5A Slack message announces deploys are reopened, with the recovered budget figure.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HoneycombDistributed traces and queries.
  2. 2
    Connect GitHubRepos, issues, pull requests, actions.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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