IT OPS
Axiom Spike to Cloudflare Traffic-Burst Correlator
When an Axiom log-cost spike is detected, it pulls Cloudflare analytics for the same window to determine whether the surge is a legitimate traffic burst or runaway log emission.
How it runs
The automated pipeline, trigger to output.
- TriggerAxiom spike webhook receivedHTTP webhook
- ActionFetch Cloudflare traffic + error analyticsCloudflare
- LogicCorrelate log growth vs request growth
- LogicBranch: traffic-driven vs log-driven
- OutputSend classified verdict to SlackSlack
What it does
Distinguishes a real traffic event from a logging bug. On an Axiom ingestion spike it fetches Cloudflare request and error analytics for the identical time window and correlates the two. If requests rose proportionally, it labels the spike legitimate; if log volume jumped while traffic stayed flat, it flags a probable noisy-service or log-loop regression.
When to use it
Use it when you can't tell whether an Axiom bill jump means "we got popular" or "a service started screaming into the logs." The Cloudflare cross-check kills that ambiguity before anyone pages an engineer.
How it works
- 1A webhook from your Axiom monitor signals a detected ingestion spike.
- 2Query Cloudflare GraphQL analytics for requests and error rate over the spike window.
- 3A logic step compares log-volume growth against request growth to classify the cause.
- 4Branch: if traffic-driven, post an all-clear; if log-driven, assemble a regression alert.
- 5Send the classified verdict with both metrics to Slack.
Set it up
What you configure once, before turning it on.
- 1Connect AxiomLog streams, queries, dashboards.
- 2Connect CloudflareWorkers, Pages, R2, KV — the edge stack.
- 3Connect SlackChannels, DMs, threads, mentions.
- 4Connect HTTP webhookTrigger any URL on agent actions.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, 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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