DATA OPS
Honeycomb Cost Spike to GitHub Derived-Column PR
When a Honeycomb cost alert webhook fires, an agent investigates the spiking dataset and opens a GitHub pull request that adds the recommended derived-column definition to your…
How it runs
The automated pipeline, trigger to output.
- TriggerHoneycomb cost-alert webhook firesHoneycomb
- ActionAgent confirms offending dataset and columns in HoneycombHoneycomb
- LogicReason about best derived-column consolidation
- ActionOpen GitHub PR with config diff and rationaleGitHub
- OutputPost PR link to Slack for reviewSlack
What it does
This agent-driven workflow listens for a Honeycomb trigger (a cost or volume alert webhook), investigates which high-cardinality columns drove the spike, decides on a consolidation strategy, and opens a GitHub pull request that edits your derived-column or instrumentation config to implement it. Reviewers get working code instead of a recommendation to transcribe.
When to use it
Use it when your derived columns and sampling rules live in a versioned config repo and you want a cost spike to produce a reviewable code change automatically. Best for teams comfortable with PR-gated infrastructure changes.
How it works
- 1A Honeycomb cost-alert webhook triggers the run.
- 2The agent queries Honeycomb to confirm the offending dataset and high-cardinality columns.
- 3It reasons about the best derived-column consolidation and writes the config change.
- 4It opens a GitHub PR with the diff, rationale, and projected event-cost reduction.
- 5It posts the PR link to Slack for review.
Set it up
What you configure once, before turning it on.
- 1Connect HoneycombDistributed traces and queries.
- 2Connect GitHubRepos, issues, pull requests, actions.
- 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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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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