DEVOPS
Cardinality-Explosion Guard with Auto-Drafted GitLab Sampling MR
Scans Honeycomb datasets for high-cardinality dimensions that are inflating event volume.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly schedule fires the cardinality guard
- ActionQuery Honeycomb column distinct-counts and dataset volumeHoneycomb
- LogicFlag and rank dimensions over cardinality/volume thresholds
- ActionGenerate scoped Refinery DynamicSampler rule block
- OutputOpen GitLab MR with sampling rule, evidence, and rollback noteGitLab
What it does
It watches your Honeycomb datasets for columns whose distinct-value count is exploding (think raw `user_id`, `request_id`, or unbounded URL paths) and turns the worst offenders into a concrete, reviewable Refinery sampling rule delivered as a GitLab merge request.
When to use it
Use it when your Honeycomb bill or event volume spikes and you suspect a runaway dimension, or as a standing weekly guardrail so no single field can silently blow up cardinality and cost.
How it works
- 1A weekly schedule kicks off the guard run.
- 2It queries Honeycomb's column and dataset APIs for distinct-value counts and event volume per dimension.
- 3A logic step flags any dimension exceeding your cardinality and volume thresholds and ranks offenders by cost impact.
- 4If nothing crosses the line, the run exits quietly.
- 5For flagged fields it generates a Refinery `DynamicSampler` rule block scoped to exactly those keys.
- 6It opens a GitLab merge request on your sampling-config repo with the diff, the cardinality evidence, and a rollback note for human review.
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.
More DevOps workflows
Slack-approved pause for idle Hugging Face Spaces
On a daily scan it finds idle paid Spaces and posts an interactive Slack approval; on approve it pauses the Space and logs the decision to a GitHub issue audit trail.
Block costly Hugging Face Space hardware upgrades in PR review
When a pull request changes a Space's hardware config, it estimates the new monthly cost and posts a GitHub PR comment that flags upgrades crossing a budget ceiling.
Hugging Face Spaces idle-runtime sweep with auto-pause
On a schedule, scans all Hugging Face Spaces for ones running idle past a threshold, pauses them to stop billing, and posts a Slack summary with the estimated monthly savings.
Open a Zoom war-room from a Datadog multi-alert storm
When a Datadog monitor crosses a critical threshold, this workflow dedupes against active incidents, and only for a genuinely new outage it creates a Zoom bridge.
Auto-spin a Zoom war-room when PagerDuty hits SEV-1
When a PagerDuty incident escalates to a critical severity, this workflow creates a dedicated Zoom meeting and posts the bridge link to the incident's Slack channel so responders…
Spin up a war-room on demand from a Slack slash command
When an engineer runs a Slack command, this workflow creates a Zoom bridge, opens a tracking Sentry-linked incident, files a Linear issue for follow-up.
Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.
Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.