DATA OPS
Honeycomb Cardinality Audit to Notion Runbook Tracker
Runs a weekly full-dataset cardinality audit and upserts each high-cardinality column as a tracked row in a Notion database.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly schedule starts audit
- ActionPull cardinality and 4-week trend from HoneycombHoneycomb
- LogicFilter to columns above threshold, compute trend
- OutputUpsert offenders into Notion tracker databaseNotion
What it does
Once a week this workflow audits every Honeycomb dataset for high-cardinality columns, then upserts each offender into a Notion database keyed by dataset and column name. Existing rows get their cardinality and volume trend updated; new offenders are created with a default status of `needs review`. The result is a durable, deduplicated backlog of cardinality debt instead of ephemeral alerts.
When to use it
Use it when you want cardinality reduction tracked like real work — owners, status, and trend over time — rather than alerts that scroll out of a Slack channel. Ideal for an observability guild driving a quarterly cost-reduction initiative.
How it works
- 1A weekly schedule starts the audit.
- 2Pull cardinality and 4-week volume trend for all columns from Honeycomb.
- 3Logic filters to columns above the cardinality threshold and computes their trend direction.
- 4Upsert each offender into the Notion tracker database, updating existing rows or creating new ones with `needs review` status.
Set it up
What you configure once, before turning it on.
- 1Connect HoneycombDistributed traces and queries.
- 2Connect NotionPages, databases, comments.
- 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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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.
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