Total memory allocated on the node (in GB).Īmount of memory utilized by the node (in percentage).Īmount of data received by the node over the network (in KB/Sec).Īmount of data transmitted by the node over the network (in KB/Sec). Number of allocatable CPU cores on the node.Ĭumulative CPU usage time of all cores used on the node (in milliseconds).Īmount of CPU ulitized by the node (in percentage). The name of the pool to which the node belongs. On clicking the required node pool, you can view detailed information about the performance of nodes available under that node pool. Indicates whether Auto Scaler configuration is enabled for this node pool. The constraint on the maximum number of pods that can be run simultaneously on a node in the node pool. Size of the disk attached to each node (in GB). Status of the nodes in this pool instance. Name of the Google Compute Engine machine type used for the nodes. Total number of nodes that are currently present in the cluster. Number of pods that are currently being used. Maximum number of pods that can be created. It has 4 tabs:Īverage amount of CPU used by all nodes in the cluster (in percentage).Īverage amount of memory used by all nodes in the cluster (in percentage).Īmount of pods used by the cluster (in percentage). List view tab enables you to perform bulk admin configurations.īy clicking a monitor from the list, you'll be taken to the Google Kubernetes Engine dashboard.Performance tab gives the health status and events for the past 24 hours or 30 days.Availability tab gives the availability history for the past 24 hours or 30 days.Displayed is the Google Kubernetes Engine bulk configuration view distributed into three tabs: Click on the Kubernetes Engine instance available under Google Cloud in the Cloud Apps section. Go to the Monitors Category View by clicking the Monitors tab. It aids you in providing automatic application deployment, scaling and management of Nodes, Pods and Containers. Google Kubernetes Engine is an enterprise-grade platform for containerized applications, including stateful and stateless, AI and ML, Linux and Windows, complex and simple web apps, API, and backend services.

Ephemeral storage limit kubernetes