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K8s monitoring that sees
what kubectl misses.

kubectl gives you current state. Applicare gives you causality — correlating pods, nodes, deployments, and applications with deploy-correlated root cause and automated health gates.

100%
Pod-level visibility
<60s
Deployment regression detection
80%
K8s on-call page reduction
How it works

Kubernetes Monitoring — deeper than native tools.

Full workload visibility
Every deployment, statefulset, daemonset — health, resource consumption, restart history, and app performance inside each pod.
↓ 80% K8s pages
🚀
Deployment health gates
Every rollout assessed for regression within 60 seconds. Automatic rollback trigger support.
🔗
Service mesh correlation
Istio, Linkerd, Envoy metrics correlated with service performance.
🛡️
Security inline
RBAC misconfigs, privileged containers, CIS benchmark violations alongside performance data.
Applicare — Kubernetes Monitoring⬤ Live
Pod Restarts
3
payment-ns · 10min
Node CPU
Normal
12 nodes · healthy
Deploy Health
Degraded
checkout-svc · +340ms
PVC Usage
67%
postgres-data · OK
🧠 ArcIn: Deploy regression: checkout-svc #6205 — p99 +340ms. N+1 in OrderRepository. IntelliTune: rollback triggered. 0 user impact.
Capabilities

What Kubernetes Monitoring covers.

Cluster & Node Health
Node resource contention, eviction predictions, node pool scaling.
🚀
Workload Performance
Pod-level golden signals per deployment. Compare current vs previous deploy automatically.
🔑
Namespace & RBAC
Resource consumption per namespace, quota alerts, RBAC change detection.
💾
Persistent Storage
PVC utilisation trends and storage class performance.
📋
Event & Log Correlation
OOMKill, Eviction, BackOff events correlated with logs and traces.
🌐
Multi-cluster
EKS, AKS, GKE, on-prem in one view with cross-cluster dependency mapping.
See Kubernetes Monitoring live on your environment.
30 minutes. Read-only access. No prep required.
Book a demo →