An automated cloud service that uses machine learning to identify unusual spikes or unexpected changes in your cloud spending. Like having a smart credit card alert that notices when your spending pattern suddenly changes — it catches runaway costs before they become huge bills.
A startup using AWS Cost Anomaly Detection gets an instant alert when a developer accidentally leaves 50 GPU instances running overnight, catching a mistake that would have cost $12,000 per day within the first hour — before the monthly bill becomes a budget crisis.
All major clouds provide ways to detect unusual spend. AWS, Azure, and Google Cloud offer anomaly detection features that analyze billing patterns and alert on unexpected changes. OCI provides strong budgeting and alerting, but does not have a widely documented, dedicated ML-based 'cost anomaly detection' product with the same positioning; teams often approximate anomalies using budgets, usage alerts, and custom monitoring.