ENGINEERING
Axiom Ingest Cost Spike to Linear Triage Ticket
When Axiom ingest volume spikes beyond its baseline, identifies which service caused it and files a Linear ticket with the offending log stream, sample lines, and a downsampling…
How it runs
The automated pipeline, trigger to output.
- TriggerAxiom ingest-spike webhook firesHTTP webhook
- ActionBreak spike down by service and templateAxiom
- LogicPick largest contributor and compute share
- OutputFile Linear triage ticket with fixLinear
What it does
Catches sudden jumps in log ingestion before they show up on the invoice. When a webhook reports a volume spike, it pinpoints the service and message pattern responsible, then turns that into an actionable engineering ticket instead of a vague alert.
When to use it
Use it as a cost guardrail: a noisy deploy, a retry storm, or a misconfigured debug flag can multiply ingest overnight. This routes the diagnosis straight to the owning team's backlog.
How it works
- 1An Axiom monitor webhook fires when 24h ingest exceeds the rolling baseline.
- 2The workflow queries Axiom to break the spike down by service and message template.
- 3A logic step picks the single largest contributor and computes its share of the increase.
- 4It drafts a triage writeup: which logger, how many extra events, estimated added cost, and a concrete downsampling fix.
- 5It creates a Linear issue in the owning team's project, labeled and pre-filled with sample log lines.
Set it up
What you configure once, before turning it on.
- 1Connect AxiomLog streams, queries, dashboards.
- 2Connect LinearIssues, projects, cycles, triage.
- 3Connect HTTP webhookTrigger any URL on agent actions.
- 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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