ENGINEERING
Weekly Log Noise Report to Slack
Compiles a weekly digest of the loudest, lowest-value Axiom log streams and posts a ranked Slack summary with downsampling savings estimates and one-click links to file fixes.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly schedule triggers run
- ActionQuery Axiom top streams over 7 daysAxiom
- LogicScore signal value and project savings
- OutputPost ranked digest to SlackSlack
What it does
Gives the team a recurring, readable snapshot of where log noise lives. It ranks the week's chattiest streams, estimates how much volume each could shed with downsampling, and posts a digest the whole channel can act on, without anyone running queries by hand.
When to use it
Run it as a Monday hygiene ritual so noise stays visible and gets owned. Good for teams that want shared accountability rather than silent auto-PRs.
How it works
- 1A weekly schedule triggers the run.
- 2It queries Axiom for the top streams by 7-day volume and their dominant message templates.
- 3A logic step scores each stream for signal value and computes projected savings if downsampled or level-raised.
- 4It formats a ranked digest with the top offenders, sample lines, and suggested actions.
- 5It posts the digest to a Slack channel with links to open a fix for each entry.
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 this workflow in your colony.
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