DATA OPS
Axiom Spike Auto-Drafts Log-Sampling Fix PR
When Axiom detects a service ingest spike, an agent pinpoints the offending log statement, locates it in the GitHub repo.
How it runs
The automated pipeline, trigger to output.
- TriggerAxiom cost-spike monitor webhookAxiom
- ActionExtract dominant log message from AxiomAxiom
- ActionSearch GitHub repo for the log source lineGitHub
- LogicProceed on confident match, else file issue
- ActionOpen draft PR with sampling or level fixGitHub
- OutputPost draft PR link to Slack for reviewSlack
What it does
Goes past alerting to a proposed fix. After Axiom flags a spike, an agent identifies the exact noisy log message, searches the service's GitHub repository for the source line, and opens a draft pull request that downgrades the log level or adds sampling, so the cleanup is one review away from merged.
When to use it
Use it when the same kinds of chatty log statements keep driving cost and you want the system to draft the obvious mechanical fix rather than just filing yet another ticket. A human still reviews and merges.
How it works
- 1An Axiom cost-spike monitor webhook fires for a service.
- 2The agent queries Axiom to extract the dominant log message text and its volume share.
- 3It searches the mapped GitHub repository for the matching log call in the source.
- 4A logic step proceeds only when a confident single-line match is found, otherwise it falls back to filing an issue.
- 5The agent opens a draft GitHub pull request adding a sampling wrapper or lowering the level, with the Axiom evidence in the description.
- 6It posts the draft PR link to Slack for an engineer to review and merge.
Set it up
What you configure once, before turning it on.
- 1Connect AxiomLog streams, queries, dashboards.
- 2Connect GitHubRepos, issues, pull requests, actions.
- 3Connect SlackChannels, DMs, threads, mentions.
- 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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