FINANCE
Correlate Spend Spikes With Recent Deploys
When a webhook reports a daily Vercel spend jump above tolerance, the workflow pulls recent GitHub deploys and BigQuery traffic to attribute the increase to a release or a usage…
How it runs
The automated pipeline, trigger to output.
- TriggerWebhook: spend-spike eventHTTP webhook
- ActionPull recent deploys and PRsGitHub
- ActionQuery traffic and usage windowBigQuery
- LogicClassify deploy-driven vs load-driven
- OutputOpen routed Slack triage threadSlack
What it does
Closes the loop between cost and cause. On a spend-spike signal it cross-references the day's GitHub deployments and BigQuery traffic volume to decide whether the jump came from a code change or organic load, then starts a triage thread so the right team owns it.
When to use it
Use it when surprise cloud bills are common and the first question is always "did a deploy cause this?" It saves the back-and-forth of manually lining up release timestamps against the cost curve.
How it works
- 1A webhook trigger receives a spend-spike event from the cost monitor.
- 2Pull deployments and merged PRs from GitHub for the spike window.
- 3Query BigQuery for traffic and per-account usage over the same window.
- 4A logic step decides: deploy-driven (a release lines up) versus load-driven (traffic rose without a release).
- 5Open a Slack triage thread tagging eng for deploy-driven or finance for load-driven, with the evidence attached.
Set it up
What you configure once, before turning it on.
- 1Connect HTTP webhookTrigger any URL on agent actions.
- 2Connect GitHubRepos, issues, pull requests, actions.
- 3Connect BigQueryDatasets, queries, schemas.
- 4Connect SlackChannels, DMs, threads, mentions.
- 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 this workflow in your colony.
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