Our eBPF-based agents continuously monitor your infrastructure at the kernel level, detecting anomalies, resource bottlenecks, and potential failures before they impact your applications. We use machine learning to identify patterns and predict issues.

Yes, you can create custom alerts based on any infrastructure metric or combination of metrics. Set thresholds, anomaly detection, or complex conditions with support for multiple notification channels.

Metoro provides a unified dashboard for monitoring multiple Kubernetes clusters. You can compare metrics across clusters, identify discrepancies, and manage infrastructure at scale from a single interface.

Our eBPF-based monitoring has minimal overhead, typically less than 1% CPU usage per node. The efficient data collection and compression ensures monitoring doesn't impact your workload performance.