SUMMARIZATION

Weekly Axiom Cost-by-Service Digest to Slack

Every Monday, aggregates the past week of Axiom log volume per service, summarizes the cost drivers in plain English, and posts a ranked digest to Slack.

CategorySummarization
Enginesim
Difficultybeginner
Triggerschedule
Steps5
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerEvery Monday 8am schedule
  • ActionQuery Axiom: bytes + events by service, last 7dAxiom
  • ActionQuery Axiom: prior 7d for week-over-week deltaAxiom
  • ActionSummarize cost drivers and moversOpenAI
  • OutputPost ranked digest to Slack channelSlack

What it does

Pulls the last seven days of log-stream data from Axiom, attributes ingest volume and estimated cost to each emitting service, then writes a short narrative summary of where the money went and which services moved the most week-over-week. The result lands in a Slack channel as a ranked, skimmable digest.

When to use it

Use it when your observability bill is opaque and you want a recurring, no-effort readout of which services drive log spend. Ideal for platform and infra teams who review cost in a Monday standup and need the story, not just a dashboard.

How it works

  1. 1A scheduled trigger fires every Monday morning.
  2. 2An Axiom query rolls up ingested bytes and event counts grouped by `service` over the trailing 7 days.
  3. 3The same query window is run for the prior week to compute deltas.
  4. 4An OpenAI step turns the numbers into a plain-English summary: top spenders, biggest movers, and one likely cause per outlier.
  5. 5A Slack message posts the ranked table plus the narrative to your chosen channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect AxiomLog streams, queries, dashboards.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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