Infrastructure Monitoring

Modern Infrastructure
Monitoring, Supercharged by AI

Powered by eBPF and AI-native analytics, KubeSense captures deep telemetry across Kubernetes, VMs, and cloud infra—correlating every metric, event, and workload issue into one intelligent layer.

Real-Time Insight. Root Cause. Resolved.

Effortless Observability

No agents. No sidecars. Just instant visibility into every node, pod, and service—out of the box.

AI-Driven Root Cause

Go beyond alerts. Our built-in AI pinpoints the why behind performance drops, errors, and failures.

Service-Aware Infrastructure

Correlate infra metrics with application behavior, workloads, and business impact—in real time.

AI-Enhanced RCA for Infra Events

Root Cause in Seconds

Automatically link infra incidents to metrics, probes, and service disruptions—no manual investigation needed.

AI Contextual Correlation

Pinpoint issues like OOM kills, disk saturation, or PVC failures using correlated infra and APM signals.

Reduce MTTR with Confidence

Diagnose and resolve failures faster with AI-generated insights, backed by real-time infra evidence.

Live Node and Pod Health at a Glance

Node Metrics Made Simple

Monitor CPU, memory, disk, and pod saturation across all clusters—visually prioritized for quick action.

Pod Drilldowns in One Click

Access per-pod stats including restarts, container states, and live resource usage without switching tools.

Instantly Detect Resource Pressure

Quickly surface nodes under stress or pods breaching their resource limits—before issues escalate.

Comprehensive Kubernetes Event Intelligence

Full Event Timeline

Capture every warning, failure, and transition across all kinds—from Pods to PVCs to Deployments.

Filter and Investigate with Ease

Drill down by kind, reason, namespace, or instance for fast root cause investigation.

AI-Aware Event Linking

Correlate backoffs, probe failures, and freeze events directly to affected workloads and services.

Workload-Level Infra Impact & Performance

App Metrics + Infra State

Track RPS, error rates, latency, and SLOs alongside node health and infra noise levels.

Workload-to-Infra Correlation

Tie degraded services directly to node failures, saturation, or event storms across the stack.

Detect Regressions Instantly

Spot rising error rates or slowdowns, and trace them back to infra changes in seconds.

Native K8s Constructs, Monitored Out of the Box

Deployments & DaemonSets

Track rollout status, replica health, and configuration drift with real-time alerts.

Jobs & CronJobs

Visualize run durations, retry attempts, and completion states for automated tasks.

StatefulSets & PVCs

Monitor volume claims, mount errors, and capacity issues—perfect for databases and persistent workloads.

Proactive alerts that cut through the noise

Resource Utilization Alerts

Get notified when CPU, memory, disk, or pod usage crosses thresholds—customizable per node, namespace, or workload.

Event-Driven Triggering

Auto-alert on critical K8s events like BackOff, FailedMount, probe failures, taints, or crash loops—before impact spreads.

AI-Prioritized Notifications

Avoid alert fatigue with smart grouping, severity tagging, and root-cause hints—so teams can focus only on what matters.

End-to-End Correlation from App to Infra

Full-Stack Telemetry Linking

Traces and logs are auto-enriched with node, pod, and container metadata—so every spike or failure is infra-aware.

Root Cause Through the Stack

Jump directly from a failing span or error log to the associated pod’s CPU, memory, disk, or event anomalies.

Infra-Aware Debugging

See how latency, timeouts, or crashes are tied to resource limits, crashes, probe failures, or PVC issues—instantly and visually.

Monitor, Correlate, and Solve — All in One Platform