DEVOPS
Axiom Log-Budget Burn-Rate Forecaster
Reads Axiom ingest volume on a schedule, projects month-end log usage against your contracted budget, and posts a burn-rate forecast to Slack with a clear over/under verdict.
How it runs
The automated pipeline, trigger to output.
- TriggerEvery 4 hours
- ActionQuery Axiom month-to-date ingest bytesAxiom
- LogicProject to month-end and compare to budget
- LogicClassify on-track / watch / overage
- OutputPost burn-rate forecast to SlackSlack
What it does
Every few hours this workflow pulls month-to-date ingested bytes from Axiom, computes the daily burn rate, and linearly projects total usage to the last day of the month. It compares that projection against your contracted ingest budget and posts a verdict — on track, watch, or projected overage — to a Slack ops channel.
When to use it
Run this when your Axiom plan has a monthly ingest cap and a surprise overage charge would hurt. It gives the team a daily-ish heads-up while there's still time to act, instead of a bill shock at cycle close.
How it works
- 1A schedule fires every 4 hours.
- 2Query Axiom for month-to-date ingested bytes across all datasets.
- 3Compute burn rate = MTD bytes / days elapsed, then project to days-in-month.
- 4A logic branch classifies the projection vs. budget into on-track / watch (>85%) / overage (>100%).
- 5Post a formatted forecast card to Slack showing MTD, projected total, percent of budget, and the verdict.
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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