VESSL Clusters comes with a built-in cluster dashboard that provides a visualization of cluster usage and status down to each node and workload. This is enabled by the VESSL Cluster Agent which sends real-time information about the clusters and workloads running on the cluster such as node specifications and model metrics.

Take a quick 2-minute tour of how to monitor clusters using the demo below.

The dashboard is automatically set up when you integrate your cloud or on-premises servers using the vessl cluster create command.

Users on the Enterprise plan can use the customized VESSL Cluster Agent to route the monitoring information to your monitoring tools like Datadog and Grafana. Contact us at support@vessl.ai to get more details.

​
Cluster-level monitoring

Multi-cluster monitoring of resource usage and ongoing workloads is available under Clusters. Here, you can get an overview of the integrated clusters.

  • Healthy — Connection and incident status of a cluster.
  • Nodes — Total number of the worker nodes.
  • Real-time resource usage — Real-time resource usage of the CPU cores, RAM, and GPUs.
  • Ongoing workloads by type — The number of running notebook servers (Workspaces) and training jobs (Experiments).

Clicking the cluster guides you to the Overview tab which holds more detailed information about the cluster.

​
Cluster status overview

The Cluster status overview section presents the basic information about the cluster including the connection and incident status.

The section contains the following information:

  • Total node: Shows all nodes.

  • Available node: Indicates the number of nodes you can use.

  • Failed node: Displays the nodes that are in a failed status.

    “Failed node” detailed explanation and actions

    A “Failed node” refers to a node where the network communication between the Kubernetes Control Plane and the kubelet is disrupted, leaving its status unknown. Since communication errors can occur due to various reasons, identifying the root cause requires direct inspection of the node.

    Steps to take:

    1. The cluster administrator should inspect the node by checking:

    • The kubelet logs (The debugging feature is included in the Logs page)

    • The node’s status

    • The network connectivity

    1. If the issue persists and no actionable solution can be determined, please contact us at support@vessl.ai or through the chat button on VESSL, located at the bottom-right corner. Our engineering team will assist you promptly.

    If you need the information about communication between nodes and the control plane, please refer to Kubernetes’ official documentation.

​
Quotas & Usage

Quotas & Usage shows the organization-wide and personal resource quota for the cluster, including the number of GPU hours and occupiable GPUs and CPUs. This is set by the organization admin. Refer to our next section in the documentation VESSL Cluster’s features on cluster administration.

​
Cluster recent events

​
System metrics

This section shows you how much CPU, GPU, and memory have been requested (and allocated) and are currently being used.

Note that when you are using VESSL Workspace (notebook servers) you may be occupying a node without actively using the resources — you are only actively using the resources only when the cell is running.

​
Recent workloads

This section shows all ongoing workloads on the cluster with information on the type, status, occupying node, resource, creator, and the created date.

​
Node-level Monitoring

Under Nodes, you can view all the worker nodes tied to the cluster with their name, status, real-time CPU, memory, disk and GPU usage, ongoing workloads by their type, and overall health status (Healthy).

By clicking the each node name, you can get more in-depth information.

Take a quick tour of the in-depth page for the each node with the demo below.

​
Workload-level Monitoring

Under Workloads, you can view the workload log related to the cluster with the current status, occupying node, resource consumption, and a visualization of the usage history. If you are an organization admin, clicking the workload name guides you to the detailed workload page under Project or Workspace.

Take a quick tour of the workload-level monitoring with the demo below.
If you are on the Enterprise plan and wish to send the cluster information collected by VESSL Cluster Agent to your central infra monitoring tool such as Datadog and Grafana, contact us at support@vessl.ai.