IT OPS
Axiom Ingestion Cost-Spike Triage with Noisy-Service Breakdown
Runs hourly to compare Axiom ingestion volume against a rolling baseline, and when a cost spike is detected it ranks the top services by byte volume and posts a triage card…
How it runs
The automated pipeline, trigger to output.
- TriggerHourly schedule fires
- ActionQuery Axiom last-hour vs baseline volumeAxiom
- LogicStop unless deviation exceeds cost threshold
- ActionGroup Axiom ingestion by serviceAxiom
- OutputPost triage card to SlackSlack
What it does
Watches your Axiom ingestion volume on an hourly cadence, compares it to a rolling 7-day baseline for the same hour-of-day, and fires only when the deviation crosses your cost threshold. When it fires, it breaks the spike down by service so you immediately know which emitter to blame instead of staring at a flat total.
When to use it
Use it when surprise Axiom bills keep landing after the fact and you want to catch a runaway log emitter within the hour it starts, not at month-end. Ideal for teams without a dedicated observability-cost owner.
How it works
- 1An hourly schedule kicks off the run.
- 2Query Axiom for total ingested bytes in the last hour and the matching baseline window.
- 3A logic step computes percent deviation and stops unless it exceeds the spike threshold.
- 4Query Axiom again, grouped by `service`, to rank emitters by bytes and delta.
- 5Post a Slack triage card naming the top offending service, its byte share, and the estimated incremental cost.
Set it up
What you configure once, before turning it on.
- 1Connect AxiomLog streams, queries, dashboards.
- 2Connect SlackChannels, DMs, threads, mentions.
- 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.
Run this workflow in your colony.
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