AI AGENTS
Log-Spike to Deploy Correlator → GitHub Sampling PR
When log ingestion spikes, an agent correlates the jump to the GitHub deploy that introduced it and opens a draft PR adding a sampling or log-level change to the responsible…
How it runs
The automated pipeline, trigger to output.
- TriggerDaily schedule starts correlation run
- ActionFind top service by Axiom ingestion growth and onset timeAxiom
- ActionList GitHub commits and PRs around the spike windowGitHub
- LogicDeploy aligns with spike onset?
- ActionAgent locates the offending log statement in the diff
- OutputOpen draft GitHub PR with sampling fixGitHub
What it does
Ties a log-volume cost spike back to the code change that caused it. After detecting an Axiom ingestion jump, it lines the spike up against recent GitHub deploys to find the merge that flipped a debug log on or added a chatty line, then opens a draft pull request that turns the noise down at the source.
When to use it
Use it when log spikes are usually self-inflicted by a recent ship and you want the fix proposed as code rather than a manual config change. Best for teams that deploy frequently and treat logging config as version-controlled.
How it works
- 1A schedule triggers the daily correlation run.
- 2It queries Axiom for the top service by ingestion growth and the timestamp the growth began.
- 3It lists GitHub commits and merged PRs to that service around the spike window.
- 4A logic step confirms a deploy lines up with the spike onset; otherwise it escalates for manual review.
- 5The agent locates the logging statement or level change in the suspect diff.
- 6It opens a draft GitHub PR adding a sampling rule or lowering the log level, citing the spike evidence in the description.
Set it up
What you configure once, before turning it on.
- 1Connect AxiomLog streams, queries, dashboards.
- 2Connect GitHubRepos, issues, pull requests, actions.
- 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 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.
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