Monitor every layer of your Kubernetes infrastructure with real-time insights into nodes, clusters, and resources.
Monitor the health and performance of every node and cluster in your infrastructure with millisecond precision.


Get the state of your Kubernetes clusters at any point in time, not just the current state.
Get the full benefits of Kubernetes with Metoro's in-built right-sizing and bottleneck detection.

Cost Effective
Monitor thousands of nodes without breaking the bank. Our efficient monitoring solution scales with your infrastructure.
Based on typical cluster size
* Approximate cost. Precise costs depend on the specific use case and any discounts.
** Pricing based on public pricing pages. Updated July 2025.
Start monitoring your Kubernetes infrastructure with deep visibility today.
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Frequently Asked Questions About Infrastructure Monitoring
Everything you need to know about the product and billing. Can't find the answer you're looking for? Ask us on our Slack Community.
Metoro monitors all critical infrastructure metrics including CPU, memory, disk, network usage across nodes, pod resource consumption, cluster health metrics, and Kubernetes events. We provide both real-time and historical data.
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.