DEVOPS
Post-Deploy Cardinality Regression Gate with GitLab Revert MR
On each deploy webhook, compares Honeycomb dimension cardinality before and after the release; if a new or exploding field appears, it opens a GitLab merge request reverting…
How it runs
The automated pipeline, trigger to output.
- TriggerGitLab deploy webhook with released commit SHAGitLab
- ActionFetch post-deploy and baseline cardinality from HoneycombHoneycomb
- LogicDiff windows; flag new or exploded dimensions
- ActionOpen GitLab revert MR for the suspect commitGitLab
- OutputComment before/after evidence on the originating MRGitLab
What it does
It treats cardinality as a release-quality signal. After every deploy it diffs Honeycomb dimension cardinality against the pre-deploy baseline, and if the new build introduced or exploded a field, it drafts a GitLab revert MR so the regression can be backed out fast.
When to use it
Use it when instrumentation changes ship frequently and a single careless `span.SetAttributes` can quietly 100x your event cost. This catches the regression to the exact deploy that caused it.
How it works
- 1A GitLab deploy webhook fires with the released commit SHA and pipeline metadata.
- 2The workflow queries Honeycomb for current per-dimension cardinality and the pre-deploy baseline window.
- 3A logic step diffs the two and flags any field that is brand new or grew past the regression threshold post-release.
- 4If nothing regressed, the gate passes and exits.
- 5On a regression it opens a GitLab MR reverting the suspect commit and posts a comment on the original merge request with the cardinality before/after evidence.
Set it up
What you configure once, before turning it on.
- 1Connect HoneycombDistributed traces and queries.
- 2Connect GitLabRepos, MRs, pipelines, registry.
- 3Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 4Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 5Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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