ClearML/clearml-docs
1
0
Fork 0
mirror of https://github.com/clearml/clearml-docs synced 2025-06-26 18:17:44 +00:00
Code Issues Actions Packages Projects Releases Wiki Activity

Edits

Browse Source
This commit is contained in:
revital
2025-03-19 08:28:00 +02:00
parent 5f246a9d84
commit f0249b7200
2 changed files with 8 additions and 8 deletions
Download Patch File Download Diff File Expand all files Collapse all files

9
docs/deploying_clearml/enterprise_deploy/appgw_install_k8s.md
View File

@@ -7,7 +7,7 @@ The AI Application Gateway is available under the ClearML Enterprise plan.
:::
This guide details the installation of the ClearML App Gateway Router.
The App Gateway Router enables access to your AI workloads (e.g. remote IDEs like VSCode and Jupyter, model API interface, etc.).
The App Gateway Router 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](https://kubernetes.io/docs/concepts/overview/working-with-objects/namespaces/)
and making them available for network access.
@@ -106,13 +106,12 @@ Replace the placeholders with the following values:
* `<RELEASE_NAME>` - Unique name for the App Gateway Router 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 router’s name and
appears in the UI within session app URLs in the IDE. While we typically recommend using a fixed string (e.g.
`clearml-enterprise` or `clearml-agent`), it can be customized to support multiple installations within the same
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](https://kubernetes.io/docs/concepts/overview/working-with-objects/namespaces/)
where workloads will be executed. This namespace must be shared between a dedicated ClearML Agent and an App
Gateway Router. The agent is responsible for monitoring its assigned task queues and spawning workloads within this
namespace (unless otherwise configured). Meanwhile, the router monitors the same namespace for AI workloads, such as
session-based tasks. The router has a namespace-limited scope, meaning it can only detect and manage tasks within its
namespace. The router monitors the same namespace for AI workloads (e.g. remote IDE applications). The router 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.