Cost anomaly detection conversation
Overview
Anomaly detection flags unusual spend early (mis-sized instances, leaked keys mining crypto, forgotten sandboxes). Position it as insurance, not micromanagement.
What to enable
- Azure Cost Management anomaly alerts (or AWS Cost Anomaly Detection) on subscriptions/payer.
- Budgets with action groups to ticketing, not only email to one person.
- Advisor / Compute Optimizer recommendations exported to QBR slides.
Talking points with clients
- “We tune thresholds after a baseline month; expect some noise first.”
- “Root cause is often a scaled test that was not torn down—RMM or IaC destroy jobs close the loop.”
- Regulated clients may require change approval before auto-scaling limits are raised; document that guardrail.
When anomalies fire
Runbook: identify resource group and owner tag, check deployment pipeline history, review network egress, revoke keys if compromise suspected, open vendor ticket if platform bug.
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