Kubernetes monitoring for clusters, nodes, pods — in one clean dashboard
Watchlog collects live signals across your Kubernetes workloads — CPU, memory, network, disk, restarts, readiness, and events — so you can troubleshoot fast and prevent incidents.
Why monitor Kubernetes?
In Kubernetes, small issues (noisy neighbors, resource starvation, failing probes) become outages fast. Watchlog gives you cluster-wide context plus per-pod detail so you can stay stable and cost-efficient.
- At-a-glance health for clusters, namespaces, nodes, and workloads.
- CPU, memory, disk I/O, and network throughput across nodes.
- Pod status, restarts, readiness, and container signals.
- Alerts on node pressure, pod failures, latency spikes, and custom metrics.
What you get with Watchlog
Metrics, events, and dashboards in one place.
Find the noisy pod or throttled node quickly.
Email, Slack, Telegram, or Webhook with context.
Right-size workloads using trends and capacity signals.
Key features
High-signal monitoring for Kubernetes operations.
Metrics & trends
CPU, memory, network, disk—by cluster, node, namespace, pod.
Alerts & routing
Notify the right channel with dedup and throttling.
Multi-cluster
Observe multiple clusters from one account.
RBAC-friendly
Scoped permissions and safe defaults.
Workload health
Readiness, restarts, and status signals per pod/container.
Logs (soon)
Stream and search logs; pivot from spikes to log lines.
Easy to deploy
Deploy the agent to your cluster and start seeing signals. For production manifests and options, use the docs.
Use the docs for the exact manifest / Helm options and required env vars.
Popular use cases
Common workflows teams run every day.
SRE / On-call
Reduce MTTR with alerts and fast pivots from symptoms to culprits.
Capacity & cost
Spot over-provisioning and right-size requests/limits with trends.
Release confidence
Detect regressions after deploys by namespace/workload signals.
Kubernetes monitoring FAQs
Quick answers to decide faster.
How is Watchlog different from DIY stacks?
Watchlog gives you an integrated experience across collection, dashboards, and alert routing—less tooling glue and faster outcomes.
Does it work with EKS/GKE/AKS?
Yes. Deploy the agent to managed Kubernetes or on-prem clusters and it auto-discovers nodes and pods.
What data do you collect?
CPU/memory/network/disk plus pod/container status, restarts, and readiness signals. You control alert thresholds.
How do alerts work?
Create rules on any metric/signal and route notifications to Email, Slack, Telegram, or custom webhooks.
Need something specific? Contact us
Ready to see Watchlog with your own workloads?