ENGINEERING
Freeze GitLab deploys when Honeycomb SLO burn rate spikes
Watches a service's SLO burn rate in Honeycomb and, when the fast-burn threshold trips, pauses the GitLab deploy pipeline and posts a freeze notice to Slack so risky releases…
How it runs
The automated pipeline, trigger to output.
- TriggerHoneycomb SLO fast-burn alert firesHoneycomb
- LogicConfirm exhaustion event, extract service + burn rate
- LogicCompare burn rate to fast-burn ceiling
- ActionPause GitLab deploy pipeline for the serviceGitLab
- OutputPost freeze notice with budget numbers to SlackSlack
What it does
This workflow turns your Honeycomb SLO into a live release gate. When a service starts burning its error budget faster than the 1-hour fast-burn threshold (roughly 14x), it automatically pauses that service's GitLab deployment pipeline and announces the freeze in Slack with the current burn rate and remaining budget.
When to use it
Run this for any production service that has a Honeycomb SLO defined and ships through GitLab CI/CD. It's the safety net that prevents a team from layering new changes on top of an already-degraded service while the budget is being spent.
How it works
- 1A Honeycomb SLO burn-alert webhook fires when the fast-burn rate is exceeded.
- 2The workflow reads the alert payload to confirm it's an exhaustion event (not a recovery) and extracts the service name and burn rate.
- 3A logic step checks the burn rate against your configured fast-burn ceiling and the budget remaining.
- 4If the gate trips, it calls the GitLab API to set the project's deploy pipeline to a paused/blocked state.
- 5It posts a formatted freeze notice to the team's Slack channel with the numbers and a link to the SLO.
Set it up
What you configure once, before turning it on.
- 1Connect HoneycombDistributed traces and queries.
- 2Connect GitLabRepos, MRs, pipelines, registry.
- 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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