AI AGENTS
Honeycomb Anomaly to Confluence Load-Test Runbook Agent
On a Honeycomb anomaly, the agent investigates the trace, writes a structured hypothesis-and-experiment runbook.
How it runs
The automated pipeline, trigger to output.
- TriggerHoneycomb anomaly trigger firesHoneycomb
- ActionFetch trace and extract regressing spanHoneycomb
- LogicBranch on whether a prior runbook exists
- ActionAgent drafts hypothesis-and-experiment runbook
- ActionPublish or update Confluence runbook pageConfluence
- OutputLink runbook in Slack for review sign-offSlack
What it does
Converts a Honeycomb anomaly into a durable, peer-reviewable runbook rather than a throwaway alert. The agent reads the trace, states a hypothesis, and writes a complete load-test procedure — environment, ramp, instrumentation, and acceptance criteria — then files it as a Confluence page linked from the alert.
When to use it
Use it when load tests need to be auditable and reusable across the team, not improvised per incident. Ideal for orgs with compliance or change-management requirements that expect a documented experiment plan before any performance test runs.
How it works
- 1A Honeycomb anomaly trigger fires with the dataset and trace reference.
- 2The agent fetches the trace and extracts the span responsible for the regression.
- 3It branches on whether a prior runbook exists for this pattern, updating it or starting fresh.
- 4The agent drafts a full hypothesis-and-experiment runbook with reproducible steps and pass/fail gates.
- 5It publishes or updates the page in the team's Confluence space.
- 6It links the runbook back into a Slack alert so reviewers can sign off before execution.
Set it up
What you configure once, before turning it on.
- 1Connect HoneycombDistributed traces and queries.
- 2Connect ConfluenceSpaces, pages, blueprints.
- 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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Weekly On-Call Doc-Gap Digest
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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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