IT OPS
Axiom Sampling-Rule Change Proposed as a GitLab MR
After confirming a noisy service is driving an Axiom cost spike, it drafts a sampling-rule change for that service and opens a GitLab merge request so an engineer can review…
How it runs
The automated pipeline, trigger to output.
- TriggerConfirmed noisy-service webhookHTTP webhook
- LogicDerive target sampling rate to hit budget
- ActionPatch sampling config in GitLab repoGitLab
- ActionOpen GitLab merge request with savings mathGitLab
- OutputPost MR link to Slack for approvalSlack
What it does
Turns a diagnosis into a reviewable code change. Given a confirmed noisy service, it computes a sensible sampling rate to cut that service's ingestion, edits the observability config in your repo, and opens a GitLab merge request with the before/after volume math in the description. Nothing changes in production until a human approves the MR.
When to use it
Use it when you want the cost fix to go through real review and version control rather than a console click. The MR leaves an auditable trail of who approved cutting which service's log fidelity.
How it works
- 1A webhook delivers the confirmed noisy-service payload (name, byte share, cost).
- 2A logic step derives a target sampling rate that brings the service under budget.
- 3Read and patch the sampling config file in the GitLab repo.
- 4Open a GitLab merge request with the rule diff and projected savings.
- 5Post the MR link to Slack so the on-call reviewer can approve it.
Set it up
What you configure once, before turning it on.
- 1Connect GitLabRepos, MRs, pipelines, registry.
- 2Connect SlackChannels, DMs, threads, mentions.
- 3Connect HTTP webhookTrigger any URL on agent actions.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, 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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