clearml-docs/docs/deploying_clearml/enterprise_deploy/appgw_install_k8s.md
2025-05-15 09:43:34 +03:00

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Kubernetes Deployment

:::important Enterprise Feature The AI Application Gateway is available under the ClearML Enterprise plan. :::

This guide details the installation of the ClearML App Gateway. The App Gateway enables access to your AI workload applications (e.g. remote IDEs like VSCode and Jupyter, model API interface, etc.). It acts as a proxy, identifying ClearML Tasks running within its K8s namespace and making them available for network access.

:::important The App Gateway must be installed in the same K8s namespace as a dedicated ClearML Agent. It can only configure access for ClearML Tasks within its own namespace. :::

Requirements

  • Kubernetes cluster: >= 1.21.0-0 < 1.32.0-0
  • Helm installed and configured
  • Helm token to access clearml helm-chart repo
  • Credentials for clearml docker repo
  • A valid ClearML Server installation

Optional for HTTPS

  • A valid DNS entry for the new App Gateway instance
  • A valid SSL certificate

Helm

Login

helm repo add clearml-enterprise https://raw.githubusercontent.com/clearml/clearml-enterprise-helm-charts/gh-pages --username <GITHUB_TOKEN> --password <GITHUB_TOKEN>

Replace <GITHUB_TOKEN> with your valid GitHub token that has access to the ClearML Enterprise Helm charts repository.

Prepare Values

Before installing the App Gateway, create a Helm override clearml-app-gateway-values.override.yaml file:

imageCredentials:
  password: ""
clearml:
  apiKey: ""
  apiSecret: ""
  apiServerUrlReference: ""
  authCookieName: ""
ingress:
  enabled: true
  hostName: ""
tcpSession:
  routerAddress: ""
  service:
    type: LoadBalancer
  portRange:
    start: 
    end:

Configuration options:

  • imageCredentials.password: ClearML DockerHub Access Token.
  • clearml.apiKey and clearml.apiSecret: API credentials created in the ClearML web UI by an Admin user or Service Account with admin privileges. Make sure to label these credentials clearly, so that they will not be revoked by mistake.
  • clearml.apiServerUrlReference: ClearML API server URL starting with https://api..
  • clearml.authCookieName: Cookie used by the ClearML server to store the ClearML authentication cookie.
  • ingress.hostName: Hostname of App Gateway used by the ingress controller to access it.
  • tcpSession.routerAddress: The external App Gateway address (can be an IP, hostname, or load balancer address) depending on your network setup. Ensure this address is accessible for TCP connections.
  • tcpSession.service.type: Service type used to expose TCP functionality, default is NodePort.
  • tcpSession.portRange.start: Start port for the TCP Session feature.
  • tcpSession.portRange.end: End port for the TCP Session feature.

The full list of supported configuration is available with the command:

helm show readme clearml-enterprise/clearml-enterprise-app-gateway

Install

To install the App Gateway component via Helm use the following command:

helm upgrade --install <RELEASE_NAME> -n <WORKLOAD_NAMESPACE> clearml-enterprise/clearml-enterprise-app-gateway --version <CHART_VERSION> -f clearml-app-gateway-values.override.yaml

Replace the placeholders with the following values:

  • <RELEASE_NAME> - Unique name for the App Gateway within the K8s namespace. This is a required parameter in Helm, which identifies a specific installation of the chart. The release name also defines the App Gateway's name and appears in the UI within AI workload application URLs (e.g. Remote IDE URLs). This can be customized to support multiple installations within the same namespace by assigning different release names.
  • <WORKLOAD_NAMESPACE> - Kubernetes Namespace where workloads will be executed. This namespace must be shared between a dedicated ClearML Agent and an App Gateway. The agent is responsible for monitoring its assigned task queues and spawning workloads within this namespace. The App Gateway monitors the same namespace for AI workloads (e.g. remote IDE applications). The App Gateway has a namespace-limited scope, meaning it can only detect and manage tasks within its assigned namespace.
  • <CHART_VERSION> - Version recommended by the ClearML Support Team.