Cost Anomaly Detection

Catch cost spikes within days, not at your next monthly bill review. StratoLens detects unusual cost changes and correlates them with the infrastructure modifications that caused them, so you know what happened and who did it.

The Problem

Most teams don't find out about cost spikes until the bill arrives, weeks after the cause:

Late Discovery: By the time you see the monthly bill, you've already been overspending for weeks
No Context: Billing data shows costs went up, but not which change caused it
Tedious Investigation: Connecting a cost spike to a specific infrastructure change means cross-referencing billing data with Activity Logs manually
Missed Savings: Cost drops from deprovisioned resources go unnoticed, hiding optimization wins

The Solution

Know about cost anomalies early and understand exactly what caused them:

Early Detection: Spot cost spikes within days using pattern-based anomaly detection on 60+ days of billing data
Automatic Root Cause: See which infrastructure changes correlate with the cost impact
Increases and Decreases: Distinguish cost spikes (potential problems) from cost drops (potential savings)

See It In Action

Key Benefits

Detect cost spikes within days, not at month-end bill shock

Correlate cost changes with infrastructure modifications

Classify severity by percentage change and dollar impact

Analyze 60+ days of historical cost data for comprehensive trend detection

Common Use Cases

Investigate unexpected cost spikes by viewing correlated infrastructure changes

Detect accidental resource provisioning or configuration changes that increased spending

Identify cost savings opportunities from resources with sudden cost drops

Ready to Learn More?

Explore our documentation to see how Cost Anomaly Detection works in detail.

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