Kubernetes
TensorWave's managed Kubernetes offering is designed to make it seamless to run and scale your clusters without the operational overhead. The Kubernetes tab gives you complete, real-time visibility into every layer of your cluster, from node health and pod status to deployments and scheduled workloads. Whether you're scaling a training run, debugging a degraded node, or auditing what's running across namespaces, everything you need is surfaced in one place without touching the terminal.
This level of visibility means your team spends less time diagnosing and more time shipping. Problems are easier to catch early, incidents are faster to resolve, and you always have a clear picture of your cluster's state at any scale.
Namespace filter
The Namespace dropdown at the top of the page filters all resource views simultaneously. Select a specific namespace to narrow your focus, or choose All Namespaces for a full picture of everything running across your cluster.
Overview
The Kubernetes overview gives you an instant read on the health of your entire cluster across three summary cards:
Node Health shows the number of ready and not-ready nodes, overall readiness percentage, and total node count at a glance.
Pod Status provides a real-time breakdown of all pods running across the cluster, categorized by state (e.g. Running, Succeeded) and visualized as a live donut chart.
Deployments shows total deployments and how many are available, with a clear healthy/degraded indicator so you can confirm your workloads are running as expected.
Nodes
Drill into the Nodes view for a granular per-node breakdown, no kubectl required.
Summary cards at the top surface the metrics that matter most:
Ready nodes in a healthy, schedulable state
Not Ready nodes that are unavailable or degraded
Control Plane number of control plane nodes managing cluster state
Workers number of worker nodes available for workloads
Node table breaks down every node in the cluster:
Hostname node identifier, with one-click copy
Status live node state (e.g. Ready, Unknown)
Role whether the node is a
workerorcontrol-planeVersion Kubernetes version running on the node
GPU number of GPUs attached, where applicable
CPU total CPU count
Memory total memory provisioned
More Info expands to show the node's internal IP, OS image, kernel version, and container runtime
Pods, Deployments, and other resources
The same namespace-scoped table interface is available for Pods, Deployments, StatefulSets, DaemonSets, Jobs, and CronJobs, giving you consistent visibility across every layer of your Kubernetes workloads without leaving the console.
Kubeconfig
Download your cluster's kubeconfig directly from the cluster header by clicking Kubeconfig. Use it to connect kubectl or any Kubernetes-compatible tooling to your cluster instantly.
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