Real-Time Container Monitoring

Real-Time Visibility from Docker to Kubernetes – See Everything in Your Containerized Environment with Per-Second Precision

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Seamless Integrations with Your Stack.

Monitor Docker, Kubernetes, containerd and every container workload with zero configuration

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Troubleshoot Container Issues Before They Impact Users

Instantly Identify Resource Constraints & Performance Bottlenecks
- Real-time resource visibility – Track CPU, memory, network, and disk metrics per-container with 1-second granularity
- Throttling detection – Identify CPU cgroup limits affecting application performance
- Memory pressure insights – Catch OOMKills and container evictions before they crash your services
- Resource optimization – Fine-tune container requests and limits based on actual usage patterns
- Cross-node correlation – Connect container performance with underlying infrastructure health
Cut MTTR For Container Failures By 70%
- Container lifecycle monitoring – Track restarts, terminations, and deployment failures in real time
- Automated anomaly detection – Identify abnormal container behavior before services degrade
- Root cause analysis – Pinpoint whether issues originate in containers, nodes, or applications
- Cross-container correlation – Connect related symptoms across distributed microservices
- Kubernetes event integration – Associate performance issues with control plane events
Gain Complete Kubernetes Cluster Visibility
- Comprehensive Kubernetes metrics – Monitor every layer from cluster to pod to container
- Control plane monitoring – Track API server, scheduler, and controller manager performance
- Service mesh integration – Monitor Istio, Linkerd, and Cilium with zero configuration
- Ingress controller insights – Ensure reliable traffic routing with detailed metrics
- Multi-cluster visibility – Monitor EKS, GKE, AKS and on-premises clusters from one dashboard
Monitor at Scale Without Performance Impact
- Ultra-lightweight agent – Less than 1% CPU overhead even in high-density environments
- Edge-native architecture – Process metrics at the source to minimize network overhead
- Auto-discovery – Instantly detect and monitor new containers and pods as they’re created
- Adaptive collection – Automatically adjust collection frequency based on system load
- Horizontal scalability – Monitor from tens to thousands of nodes without bottlenecks
Dive Deep Into Container Metrics Without Getting Lost
- Contextual navigation – Intuitively drill down from clusters to namespaces to pods to containers
- Topology visualization – Understand complex container relationships at a glance
- Interactive exploration – Investigate issues with real-time metric correlation
- Customizable views – Create focused dashboards for different containerized applications
- Unified metrics and logs – See container performance and log output in a single interface