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See the shape of the cluster before it becomes a page. KubeView turns live metrics and workload state into a dense, readable overview, with node pressure and warning events in the same view.
CPU
62.1%
Memory
71%
Nodes
6/6
KubeView/prod-us-east-1/paymentsMemory
71%
181 / 256 GiB
Nodes
6 / 6
all ready
Pods
128
+4 today
Deploys
24
healthy
CPU, memory, nodes, and workload counts without opening five dashboards.
Scope the whole overview to a namespace and see the numbers recalculate instantly.
Node conditions, warning events, and pressure beacons stay visible before they page you.
The same telemetry, arranged spatially. Start at the pressure node, follow the connections, and open the workload without losing the thread.
A new batch job lands on one node during a deploy. The overview shows the pressure spreading across the namespace while the cluster still looks healthy at the top line.
Pressure appears
ip-10-0-3-88 reports MemoryPressure. Three payments pods move to Pending.
Scope to payments
The namespace view recalculates in place. Memory crosses 91% while the deployment keeps rolling.
Follow the signal
Open the node from the matrix to see the workloads holding the allocation.
The noisy workload is found before the alert fires.
No agent, no sidecar, no dashboard to configure. The desktop app talks directly to the Kubernetes API with the credentials already on your machine.
Point KubeView at a context. The Go engine resolves auth and opens a direct TLS connection.
View the whole cluster or a single namespace from the same surface.
Live metrics, node health, and warning events are grouped for fast triage.
The surfaces are designed to hand off to each other, so you can move from symptom to root cause without changing tools.
Bring your kubeconfig. KubeView handles discovery, auth, live watches, and the troubleshooting workbench, all on your machine.