DEVOPS

Auto-lift the deploy freeze when error budget recovers

On a schedule, re-checks the Honeycomb SLO burn rate and, once it has stayed under the safe threshold long enough, removes the GitHub deploy-freeze and announces that shipping is…

CategoryDevOps
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerSchedule: re-check burn rate during freeze
  • ActionQuery current SLO burn rate from HoneycombHoneycomb
  • LogicRequire sustained recovery below threshold
  • ActionRemove deploy-freeze label + clear blocking checkGitHubGitHub
  • OutputPost all-clear with freeze duration to SlackSlack

What it does

This is the release valve for an error-budget freeze. It periodically asks Honeycomb whether the burn rate has settled, and when the SLO has been healthy for a sustained window it automatically unlocks the repo and tells the team they can deploy again — so freezes don't linger after recovery.

When to use it

Pair it with any burn-rate freeze workflow. Use it when you want freezes to be self-resolving rather than relying on someone to remember to flip the repo back on.

How it works

  1. 1A schedule trigger runs every few minutes during the freeze window.
  2. 2An action queries the current burn rate and remaining budget for the SLO from Honeycomb.
  3. 3A logic step requires the burn rate to be below threshold for a configured sustained period (debounce) before acting, avoiding flapping.
  4. 4If recovered, an action removes the `deploy-freeze` label and clears the blocking status check on the GitHub repo.
  5. 5The output posts an all-clear to Slack with the recovered burn rate and how long the freeze lasted.

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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