DATA OPS
Honeycomb Monthly Cardinality Cost Report to BigQuery and Email
Each month it snapshots Honeycomb per-column cardinality and event volume into BigQuery for trend analysis.
How it runs
The automated pipeline, trigger to output.
- TriggerMonthly schedule kicks off export
- ActionPull per-column cardinality and volume from HoneycombHoneycomb
- ActionAppend snapshot to BigQuery and compare month-over-monthBigQuery
- LogicRank columns by cost contribution and growth
- OutputEmail ranked digest to finance and engineeringGmail
What it does
Once a month this workflow exports a full per-column cardinality and event-volume snapshot from Honeycomb into a BigQuery table, builds a month-over-month comparison against prior snapshots, and emails a digest of the biggest cost-driving high-cardinality columns to finance and engineering stakeholders.
When to use it
Use it when you need an auditable cost-trend record and a recurring report tying Honeycomb event volume back to spend. Good for FinOps reviews and budget planning where someone always asks "is observability cost going up, and why."
How it works
- 1A monthly schedule kicks off the export.
- 2Pull per-column cardinality and event volume for all datasets from Honeycomb.
- 3Append the snapshot to a BigQuery table and run a month-over-month comparison query.
- 4Logic ranks columns by cost contribution and growth to find the top offenders.
- 5Email the digest with the ranked table and trend chart to finance and engineering leads.
Set it up
What you configure once, before turning it on.
- 1Connect HoneycombDistributed traces and queries.
- 2Connect BigQueryDatasets, queries, schemas.
- 3Connect GmailRead, draft, send, label.
- 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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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.
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