Real‑time Kubernetes Observability

Kubernetes Monitoring for Clusters, Nodes, Pods — in One Clean Dashboard

Watchlog collects live metrics and health signals across your Kubernetes clusters — CPU, memory, network, disk, restarts, readiness, events, and logs — so you can troubleshoot in seconds and prevent incidents.

Why monitor Kubernetes?

Modern applications rely on Kubernetes for elasticity and scale. Without visibility, small issues — noisy neighbors, resource starvation, failing probes — become outages. Watchlog gives you cluster‑wide context and per‑pod detail to keep performance steady and costs in check.

  • At‑a‑glance health for clusters, namespaces, nodes, and workloads.
  • Track CPU, memory, disk I/O, and network throughput on every node.
  • See pod status, restarts, readiness, and container logs in real time.
  • Define alerts for node pressure, pod failures, latency spikes, or custom metrics.

What you get with Watchlog

Unified visibility

Metrics, logs, and events in a single place — no more tab‑hopping.

Fast troubleshooting

Find the noisy pod, the throttled node, or the failing deployment in seconds.

Actionable alerts

Notify Email, Slack, Telegram, or webhooks with rich context.

Lower costs

Right‑size resources with trend analytics and capacity insights.

Key Features

Rich Metrics & Trends

CPU, memory, network, disk — sliced by cluster, node, namespace, pod, container.

Live Logs(soon...)

Stream container logs with search and filters; pivot from spikes to log lines.

Alerts & Webhooks

Email, Slack, Telegram, or custom endpoints — with dedup and throttling.

Multi‑cluster

Observe many clusters from one account and switch with a click.

RBAC‑friendly

Scoped permissions and read‑only defaults for safe operations.

Fast install

DaemonSet agent deploys in minutes — auto‑discovers nodes and pods.

Deploy in Minutes

Install our DaemonSet agent across your cluster and start monitoring immediately. Works with managed Kubernetes (EKS, GKE, AKS) and on‑prem.

kubectl apply -f watchlog-daemonset.yaml

# watchlog-daemonset.yaml (example)
  apiVersion: apps/v1
  kind: DaemonSet
  metadata:
    name: watchlog-agent
    namespace: kube-system
  spec:
    selector:
      matchLabels: { app: watchlog-agent }
    template:
      metadata:
        labels: { app: watchlog-agent }
      spec:
        hostNetwork: true
        containers:
          - name: agent
            image: ghcr.io/watchlogserver/agent:latest
            env:
              - name: WATCHLOG_API_URL
                value: "https://api.watchlog.io"
              - name: WATCHLOG_API_KEY
                value: "YOUR_API_KEY"
            securityContext:
              runAsUser: 0
            volumeMounts:
              - { name: varlog, mountPath: /var/log }
        volumes:
          - { name: varlog, hostPath: { path: /var/log } }
  

See docs for production‑ready manifests and Helm options.

Popular Use Cases

SRE / On‑call

Reduce MTTR with alerts, runbooks links, and one‑click pivots from metrics to logs.

Capacity & Cost

Identify over‑provisioned workloads and right‑size requests/limits with trends.

Release Confidence

Spot regressions after deploys with namespace and workload‑level comparisons.

Kubernetes Monitoring FAQs

How is Watchlog different from DIY stacks?

We provide an integrated experience: collection, storage, dashboards, alerting, and live logs in one place. No stitching together exporters, dashboards, and alert rules — less toil, faster value.

Does it work with EKS/GKE/AKS?

Yes. The agent supports managed Kubernetes and bare‑metal. It auto‑discovers nodes and pods after deployment.

What data do you collect?

Resource metrics (CPU, memory, network, disk), pod and container status, restarts, readiness, and logs when enabled. You control retention and alert thresholds.

How do alerts work?

Create rules on any metric or event and route notifications to Email, Slack, Telegram, or custom webhooks with payload templates.

Need something specific? Contact us

Ready to see Watchlog with your own workloads?