Detect Anomalous Cloud Costs
Leverage anomaly detection across all major cloud providers (AWS, Azure, and GCP) to identify unstable cloud resources, reduce cloud cost surges, and notify teams so you can resolve incidents before they affect your bottom line.
Resource-Level Cost Monitoring and Allocation
Identify fluctuating cloud resources that are prone to surge and use anomaly detection to build cost savings into your future products and services. Breakdown spend by team, cloud, tool, product line, and more to track unit economics and drive performance and cost optimization in tandem.
Kubernetes Support
Optimize Kubernetes usage at the cluster and node level. Amnic anomaly detection will scan CPU and memory capacity, requests, and usage to help you identify anomalous behavior and optimize your clusters, ensuring resources are not over or under-provisioned.
Alerts and Notifications
Alert the appropriate person or team in real time to quickly identify the root cause of unexpected cloud spend and avoid costs from spiraling out of control. Integrations with Slack, MS Teams, and other collaboration tools bring contextual alerts to where you’re already working.
Act early against runaway costs
Optimize Kubernetes usage at the cluster and node level. Amnic anomaly detection will scan CPU and memory capacity, requests, and usage to help you identify anomalous behavior and optimize your clusters, ensuring resources are not over or under-provisioned.
Actionable Cloud Cost Observability With Anomaly Detection
