WATCHLOG PRODUCT · INFRASTRUCTURE
Full cluster visibility —
from namespace to pod.
Node resource utilization, pod health, deployment readiness, HPA scaling events, and workload performance — across every namespace in your Kubernetes cluster.
THE PROBLEM
Kubernetes adds layers that hide problems.
Kubernetes abstracts infrastructure — which means problems hide inside abstractions. A CrashLoopBackOff pod gets restarted automatically. A node running out of memory kills pods silently. HPA scales up at 3am and nobody sees it. Without Kubernetes-specific monitoring, these events are invisible.
Pod crashes hide in restart loops
A pod restarts 40 times and K8s keeps it running. No alert fires. No engineer investigates. The application is running — barely.
Node pressure is opaque
A node is memory-pressured. Pods are being evicted and rescheduled. The cluster looks healthy in kubectl but your app is degraded.
Resource requests vs. actual usage gap
Pods request 2 CPU cores but use 0.2. You are paying for 10× more capacity than needed.
WHAT'S MONITORED
Everything Kubernetes Monitoring captures.
Real signals collected by the Watchlog Agent — available in your dashboard within 60 seconds of enabling.
Cluster-level health scoring
Overall cluster health calculated from node pressure, pending pods, and failing workloads.
Node resource metrics
CPU, memory, and disk pressure per node — with alerts when a node enters a pressure condition.
Pod lifecycle events
CrashLoopBackOff, OOMKilled, Pending, and Evicted pod events tracked with timestamp and reason.
Namespace-level views
Resource usage, pod count, and workload status filtered by namespace for multi-team clusters.
HPA scaling event tracking
Horizontal Pod Autoscaler scale-up and scale-down events with replica count history.
Request vs. limit analysis
Compare resource requests and limits against actual usage to identify rightsizing opportunities.
LIVE VIEW
Cluster health — namespaces, nodes, and pods.
Your Kubernetes cluster from cluster health score down to individual pod status.
| Namespace | Pods | CPU | Memory | Status |
|---|---|---|---|---|
| production | 84 | 34% | 61% | ✓ Healthy |
| staging | 22 | 12% | 28% | ✓ Healthy |
| payments | 12 | 78% | 88% | ⚠ Pressure |
| monitoring | 8 | 8% | 22% | ✓ Healthy |
CAPABILITIES
What Kubernetes Monitoring gives you.
Zero-config discovery
Deploy the Watchlog agent as a DaemonSet — cluster topology, nodes, and pods detected automatically.
Multi-cluster support
Monitor multiple Kubernetes clusters in a single Watchlog workspace with namespace-level filtering.
CrashLoop detection
Alert immediately when any pod enters CrashLoopBackOff — before Kubernetes gives up on the restart policy.
Workload health
Deployment, StatefulSet, and DaemonSet readiness — know when a rollout is stuck or degraded.
Resource rightsizing
Request vs. actual usage gap identified automatically — reduce cloud spend without impacting reliability.
PVC and volume health
Persistent volume claim status and capacity tracked — alert before a PVC runs out of space.
USE CASES
How engineering teams use Kubernetes Monitoring.
CrashLoopBackOff investigation
A pod in the payments namespace has restarted 28 times. Alert fires. Watchlog shows OOMKilled reason — memory limit set too low.
Node pressure response
Node prod-node-3 enters memory pressure. Pods begin evicting and rescheduling onto other nodes — alert fires before service degrades.
Resource rightsizing project
Request vs. actual analysis shows 14 pods requesting 4× more CPU than they use. Rightsizing saves $800/month in cloud costs.
HPA scaling audit
HPA scaled the payment service to 12 replicas at 2:00am during a traffic spike. Scaling event history confirms the cluster responded correctly.
PLATFORM FIT
Kubernetes Monitoring inside the Watchlog platform.
Kubernetes Monitoring is infrastructure-layer visibility for containerized workloads, connecting to Log Monitoring for pod log ingestion, APM for service traces, and AI Analysis for cluster-level incident root cause.
Monitoring
Pod and container log ingestion
Traces from services in the cluster
Cluster events as root cause factors
QUICK START
Start Kubernetes Monitoring in under 2 minutes.
No YAML. No complex configuration. The Watchlog Agent handles discovery automatically.
Install the k8s Agent
One curl command on your host. The Watchlog Agent starts immediately.
Enable Kubernetes Monitoring
Deploy the Watchlog agent as a Kubernetes DaemonSet using our Helm chart. Cluster discovery begins automatically.
Data appears in 60s
Node metrics, pod health, and namespace-level resource usage appear in your dashboard within 60 seconds of DaemonSet deployment.
GET STARTED
Start monitoring with Kubernetes Monitoring.
Complete Kubernetes visibility — from cluster health score to individual pod status.
Questions? Talk to us → [email protected]