Kubernetes Monitoring
Get complete visibility into Kubernetes clusters, nodes, pods, and applications without unpredictable SaaS pricing or data leaving your cloud.
Audits & Certifications
CubeAPM adheres to industry-leading compliance standards, including SOC 2 and ISO 27001, ensuring your data remains secure, private, and audit-ready.
Go from blind Kubernetes clusters to full-context observability
CubeAPM Kubernetes Monitoring gives you a unified view of Kubernetes infrastructure, workloads, and applications making troubleshooting faster, cheaper, and far less noisy.
High-Cardinality Kubernetes Search
Trace + Context Correlation
Self-Hosted Monitoring
Cluster-to-Container Insights
Monitor Every Layer of Kubernetes
Kubernetes Health
Understand the real-time health and capacity of your Kubernetes clusters without digging through multiple tools.
- Track overall cluster utilization and resource availability
- Detect capacity bottlenecks and scheduling pressure early
- Monitor cluster stability across environments and regions
A large fintech platform prevented production incidents by identifying cluster saturation 30–45 minutes earlier during peak traffic using CubeAPM’s cluster-level visibility.
Deployments & Rollouts
Track the health and progress of Kubernetes deployments to catch issues early during releases and configuration changes.
- Monitor rollout status, replica availability, and failed updates
- Identify regressions caused by new releases or configuration changes
- Quickly correlate deployment issues with impacted pods and services
An engineering team detected a faulty Kubernetes rollout in under 5 minutes, reducing rollback time by 60% compared to manual checks.
Nodes & Pods
Understand how Kubernetes nodes and workloads behave together to quickly isolate resource issues and unstable workloads.
- Monitor CPU, memory, disk, and network utilization across nodes and containers
- Identify pod restarts, OOMKills, throttling, and noisy neighbors impacting performance
- Drill down from node-level pressure to the exact pods and containers causing instability
A high-traffic SaaS platform reduced Kubernetes performance incidents by ~45% by correlating node pressure with pod-level failures in CubeAPM.
Kubernetes Metrics & Events
Get real-time visibility into Kubernetes behavior using native metrics and events, without losing context across clusters and workloads.
- Monitor Kubernetes metrics across clusters, nodes, deployments, and pods
- Surface Kubernetes events alongside metrics to understand what changed and why
- Quickly correlate spikes, failures, or instability with underlying platform signals
An SRE team correlated Kubernetes events with metric spikes to reduce mean time to root cause by 45% during platform instability.
Smart Alerts
Stay ahead of issues with alerts designed specifically for dynamic Kubernetes environments.
- Create alerts based on Kubernetes metrics, conditions, and events
- Reduce alert noise by grouping signals by cluster, namespace, or workload
- Detect anomalies and failures early to minimize service impact
A production team reduced alert noise by ~60% by grouping Kubernetes alerts by workload and namespace instead of individual pods.
Try our standard plan for 50% off!
“ Working with CubeAPM feels like a partnership; as we continued to use their tool and found more use cases. ”




























