DEVOPS

Daily Cardinality Trend Snapshot to Axiom with Slack Digest

Captures per-dimension distinct-value counts from Honeycomb each day, ships them as time-series records into Axiom for long-term trending.

CategoryDevOps
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily schedule triggers the snapshot
  • ActionPull per-dimension distinct-value counts from HoneycombHoneycomb
  • ActionWrite timestamped cardinality records to AxiomAxiom
  • LogicCompare to 7-day baseline and rank growth
  • OutputPost Slack digest of fastest-growing dimensionsSlack

What it does

It builds a historical record of how cardinality changes over time. Each day it snapshots distinct-value counts per Honeycomb dimension, stores them in Axiom so you can trend them, and surfaces the fastest-growing fields in a Slack digest before they become a problem.

When to use it

Use it when you want early warning on creeping cardinality rather than a fire alarm after the bill arrives. The Axiom history also lets you correlate dimension growth with deploys.

How it works

  1. 1A daily schedule triggers the snapshot.
  2. 2The workflow pulls distinct-value counts for every tracked dimension across your Honeycomb datasets.
  3. 3It writes each count as a timestamped record into an Axiom dataset built for cardinality trending.
  4. 4A logic step compares today's counts to the seven-day baseline and ranks dimensions by growth rate.
  5. 5It posts a Slack digest listing the top movers, each with its current count, weekly delta, and a link to the Axiom trend view.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HoneycombDistributed traces and queries.
  2. 2
    Connect AxiomLog streams, queries, dashboards.
  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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