mirror of
https://github.com/clearml/clearml-docs
synced 2025-05-17 10:53:52 +00:00
Merge branch 'main' of https://github.com/allegroai/clearml-docs into images_3
This commit is contained in:
revital
commit
611a5bef77
@ -27,6 +27,7 @@ but can be overridden by command-line arguments.
|
||||
|**CLEARML_AGENT_DOCKER_ARGS_HIDE_ENV** | Hide Docker environment variables containing secrets when printing out the Docker command. When printed, the variable values will be replaced by `********`. See [`agent.hide_docker_command_env_vars`](../configs/clearml_conf.md#hide_docker) |
|
||||
|**CLEARML_AGENT_DISABLE_SSH_MOUNT** | Disables the auto `.ssh` mount into the docker |
|
||||
|**CLEARML_AGENT_FORCE_CODE_DIR**| Allows overriding the remote execution code directory to bypass repository cloning and use a repo already available where the remote agent is running. |
|
||||
|**CLEARML_AGENT_FORCE_UV**| If set to `1`, force the agent to use UV as the package manager. Overrides the default manager set in the [clearml.conf](../configs/clearml_conf.md) under `agent.package_manager.type` |
|
||||
|**CLEARML_AGENT_FORCE_EXEC_SCRIPT**| Allows overriding the remote execution script to bypass repository cloning and execute code already available where the remote agent is running. Use `module:file.py` format to specify a module and a script to execute (e.g. `.:main.py` to run `main.py` from the working dir)|
|
||||
|**CLEARML_AGENT_FORCE_TASK_INIT**| If set to `1`, ClearML Agent adds `Task.init()` to scripts that do not have the call, creating a Task to capture code execution information and output, which is then sent to the ClearML Server. If set to `0` and the script does not include `Task.init()`, the agent will capture only the output streams and console output, without tracking code execution details, metrics, or models. |
|
||||
|**CLEARML_AGENT_FORCE_SYSTEM_SITE_PACKAGES** | If set to `1`, overrides default [`agent.package_manager.system_site_packages: true`](../configs/clearml_conf.md#system_site_packages) behavior when running tasks in containers (docker mode and k8s-glue)|
|
||||
|
||||
@ -13,6 +13,7 @@ multiple tasks (see [Virtual Environment Reuse](clearml_agent_env_caching.md#vir
|
||||
ClearML Agent supports working with one of the following package managers:
|
||||
* [`pip`](https://en.wikipedia.org/wiki/Pip_(package_manager)) (default)
|
||||
* [`conda`](https://docs.conda.io/en/latest/)
|
||||
* [`uv`](https://docs.astral.sh/uv/)
|
||||
* [`poetry`](https://python-poetry.org/)
|
||||
|
||||
To change the package manager used by the agent, edit the [`package_manager.type`](../configs/clearml_conf.md#agentpackage_manager)
|
||||
|
||||
@ -15,7 +15,7 @@ The following page goes over how to set up and upgrade `clearml-serving`.
|
||||
[free hosted service](https://app.clear.ml)
|
||||
1. Connect `clearml` SDK to the server, see instructions [here](../clearml_sdk/clearml_sdk_setup#install-clearml)
|
||||
|
||||
1. Install clearml-serving CLI:
|
||||
1. Install the `clearml-serving` CLI:
|
||||
|
||||
```bash
|
||||
pip3 install clearml-serving
|
||||
@ -27,21 +27,22 @@ The following page goes over how to set up and upgrade `clearml-serving`.
|
||||
clearml-serving create --name "serving example"
|
||||
```
|
||||
|
||||
The new serving service UID should be printed
|
||||
This command prints the Serving Service UID:
|
||||
|
||||
```console
|
||||
New Serving Service created: id=aa11bb22aa11bb22
|
||||
```
|
||||
|
||||
Write down the Serving Service UID
|
||||
Copy the Serving Service UID (e.g., `aa11bb22aa11bb22`), as you will need it in the next steps.
|
||||
|
||||
1. Clone the `clearml-serving` repository:
|
||||
```bash
|
||||
git clone https://github.com/clearml/clearml-serving.git
|
||||
```
|
||||
|
||||
1. Edit the environment variables file (docker/example.env) with your clearml-server credentials and Serving Service UID.
|
||||
For example, you should have something like
|
||||
1. Edit the environment variables file (`docker/example.env`) with your `clearml-server` API credentials and Serving Service UID.
|
||||
For example:
|
||||
|
||||
```bash
|
||||
cat docker/example.env
|
||||
```
|
||||
@ -55,31 +56,30 @@ The following page goes over how to set up and upgrade `clearml-serving`.
|
||||
CLEARML_SERVING_TASK_ID="<serving_service_id_here>"
|
||||
```
|
||||
|
||||
1. Spin up the `clearml-serving` containers with `docker-compose` (or if running on Kubernetes, use the helm chart)
|
||||
1. Spin up the `clearml-serving` containers with `docker-compose` (or if running on Kubernetes, use the helm chart):
|
||||
|
||||
```bash
|
||||
cd docker && docker-compose --env-file example.env -f docker-compose.yml up
|
||||
```
|
||||
|
||||
If you need Triton support (keras/pytorch/onnx etc.), use the triton docker-compose file
|
||||
If you need Triton support (Keras/PyTorch/ONNX etc.), use the triton `docker-compose` file:
|
||||
```bash
|
||||
cd docker && docker-compose --env-file example.env -f docker-compose-triton.yml up
|
||||
```
|
||||
|
||||
If running on a GPU instance with Triton support (keras/pytorch/onnx etc.), use the triton gpu docker-compose file:
|
||||
If running on a GPU instance with Triton support (Keras/PyTorch/ONNX etc.), use the triton gpu docker-compose file:
|
||||
```bash
|
||||
cd docker && docker-compose --env-file example.env -f docker-compose-triton-gpu.yml up
|
||||
```
|
||||
|
||||
:::note
|
||||
Any model that registers with Triton engine will run the pre/post-processing code on the Inference service container,
|
||||
Any model that registers with Triton engine will run the pre/post-processing code in the Inference service container,
|
||||
and the model inference itself will be executed on the Triton Engine container.
|
||||
:::
|
||||
|
||||
## Advanced Setup - S3/GS/Azure Access (Optional)
|
||||
To add access credentials and allow the inference containers to download models from your S3/GS/Azure object-storage,
|
||||
add the respective environment variables to your env files (example.env). For further details, see
|
||||
[Configuring Storage](../integrations/storage.md#configuring-storage).
|
||||
To enable inference containers to download models from S3, Google Cloud Storage (GS), or Azure,
|
||||
add access credentials in the respective environment variables to your env files (`example.env`):
|
||||
|
||||
```
|
||||
AWS_ACCESS_KEY_ID
|
||||
@ -92,14 +92,21 @@ AZURE_STORAGE_ACCOUNT
|
||||
AZURE_STORAGE_KEY
|
||||
```
|
||||
|
||||
For further details, see [Configuring Storage](../integrations/storage.md#configuring-storage).
|
||||
|
||||
## Upgrading ClearML Serving
|
||||
|
||||
**Upgrading to v1.1**
|
||||
|
||||
1. Take down the serving containers (`docker-compose` or k8s)
|
||||
1. Update the `clearml-serving` CLI `pip3 install -U clearml-serving`
|
||||
1. Shut down the serving containers (`docker-compose` or k8s)
|
||||
1. Update the `clearml-serving` CLI:
|
||||
|
||||
```
|
||||
pip3 install -U clearml-serving
|
||||
```
|
||||
|
||||
1. Re-add a single existing endpoint with `clearml-serving model add ...` (press yes when asked). It will upgrade the
|
||||
`clearml-serving` session definitions
|
||||
`clearml-serving` session definitions.
|
||||
1. Pull the latest serving containers (`docker-compose pull ...` or k8s)
|
||||
1. Re-spin serving containers (`docker-compose` or k8s)
|
||||
|
||||
|
||||
@ -515,8 +515,12 @@ These settings define which Docker image and arguments should be used unless [ex
|
||||
|
||||
**`agent.package_manager`** (*dict*)
|
||||
|
||||
* Dictionary containing the options for the Python package manager. The currently supported package managers are pip, conda,
|
||||
and, if the repository contains a `poetry.lock` file, poetry.
|
||||
* Dictionary containing the options for the Python package manager.
|
||||
* The currently supported package managers are
|
||||
* pip
|
||||
* conda
|
||||
* uv, if the root repository contains a `uv.lock` or `pyproject.toml` file
|
||||
* poetry, if the repository contains a `poetry.lock` or `pyproject.toml` file
|
||||
|
||||
---
|
||||
|
||||
@ -661,13 +665,38 @@ Torch Nightly builds are ephemeral and are deleted from time to time.
|
||||
* `pip`
|
||||
* `conda`
|
||||
* `poetry`
|
||||
* `uv`
|
||||
|
||||
* If `pip` or `conda` are used, the agent installs the required packages based on the "Python Packages" section of the
|
||||
Task. If the "Python Packages" section is empty, it will revert to using `requirements.txt` from the repository's root
|
||||
directory. If `poetry` is selected, and the root repository contains `poetry.lock` or `pyproject.toml`, the "Python
|
||||
directory.
|
||||
* If `poetry` is selected, and the root repository contains `poetry.lock` or `pyproject.toml`, the "Python
|
||||
Packages" section is ignored, and `poetry` is used. If `poetry` is selected and no lock file is found, it reverts to
|
||||
`pip` package manager behaviour.
|
||||
|
||||
* If `uv` is selected, and the root repository contains `uv.lock` or `pyproject.toml`, the "Python
|
||||
Packages" section is ignored, and `uv` is used. If `uv` is selected and no lock file is found, it reverts to
|
||||
`pip` package manager behaviour.
|
||||
|
||||
---
|
||||
|
||||
**`agent.package_manager.uv_files_from_repo_working_dir`** (*bool*)
|
||||
|
||||
* If set to `true`, the agent will look for the `uv.lock` or `pyproject.toml` file in the provided directory path instead of
|
||||
the repository's root directory.
|
||||
|
||||
---
|
||||
|
||||
**`agent.package_manager.uv_sync_extra_args`** (*list*)
|
||||
|
||||
* List extra command-line arguments to pass when using `uv`.
|
||||
|
||||
---
|
||||
|
||||
**`agent.package_manager.uv_version`** (*string*)
|
||||
|
||||
* The `uv` version requirements. For example, `">0.4"`, `"==0.4"`, `""` (empty string will install the latest version).
|
||||
|
||||
|
||||
<br/>
|
||||
|
||||
#### agent.pip_download_cache
|
||||
|
||||
@ -6,9 +6,22 @@ ClearML provides a comprehensive set of monitoring tools to help effectively tra
|
||||
These tools offer both high-level overviews and detailed insights into task execution, resource
|
||||
utilization, and project performance.
|
||||
|
||||
## Offerings
|
||||
|
||||
### Project Dashboard
|
||||
## Project Overview
|
||||
|
||||
A project's **OVERVIEW** tab in the UI presents a general picture of a project:
|
||||
* Metric Snapshot – A graphical representation of selected metric values across project tasks, offering a quick assessment of progress.
|
||||
* Task Status Tracking – When a single metric variant is selected for the snapshot, task status is color-coded (e.g.,
|
||||
Completed, Aborted, Published, Failed) for better visibility.
|
||||
|
||||
Use the Metric Snapshot to track project progress and identify trends in task performance.
|
||||
|
||||
For more information, see [Project Overview](../webapp/webapp_project_overview.md).
|
||||
|
||||
|
||||
|
||||
|
||||
## Project Dashboard
|
||||
|
||||
:::info Pro Plan Offering
|
||||
The Project Dashboard app is available under the ClearML Pro plan.
|
||||
@ -28,16 +41,22 @@ For more information, see [Project Dashboard](../webapp/applications/apps_dashbo
|
||||
|
||||
|
||||
|
||||
### Project Overview
|
||||
## Task Monitoring
|
||||
|
||||
A project's **OVERVIEW** tab in the UI presents a general picture of a project:
|
||||
* Metric Snapshot – A graphical representation of selected metric values across project tasks, offering a quick assessment of progress.
|
||||
* Task Status Tracking – When a single metric variant is selected for the snapshot, task status is color-coded (e.g.,
|
||||
Completed, Aborted, Published, Failed) for better visibility.
|
||||
ClearML provides task monitoring capabilities through the [`clearml.automation.Monitor`](https://github.com/clearml/clearml/blob/master/clearml/automation/monitor.py)
|
||||
class. With this class you can implement monitoring workflows such as:
|
||||
|
||||
Use the Metric Snapshot to track project progress and identify trends in task performance.
|
||||
* Send notifications via Slack or other channels
|
||||
* Trigger automated responses based on specific task conditions
|
||||
|
||||
For more information, see [Project Overview](../webapp/webapp_project_overview.md).
|
||||
For a practical example, see the [Slack Alerts Example](../guides/services/slack_alerts.md), which demonstrates how to:
|
||||
|
||||
* Track task status (completion, failure, etc.)
|
||||
* Send notifications to a specified Slack channel
|
||||
* Retrieve task details such as status, console logs, and links to the ClearML Web UI
|
||||
|
||||
You can also configure filters for task types and projects to reduce unnecessary notifications.
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
@ -6,11 +6,12 @@ The [Slack alerts example](https://github.com/clearml/clearml/blob/master/exampl
|
||||
demonstrates how to use the `clearml.automation.monitor` class to implement a service that monitors the completion and
|
||||
failure of tasks, and posts alert messages on a Slack channel.
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
## Creating a Slack Bot
|
||||
## Creating a Slackbot
|
||||
|
||||
Before configuring and running the Slack alert service, create a Slack Bot (**ClearML Bot**).
|
||||
Before configuring and running the Slack alert service, create a Slackbot (**ClearML Bot**).
|
||||
|
||||
:::important
|
||||
The Slack API token and channel you create are required to configure the Slack alert service.
|
||||
|
||||
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|
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docs/img/examples_slack_alerts_dark.png
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docs/img/examples_slack_alerts_dark.png
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|
After Width: | Height: | Size: 458 KiB |
@ -77,12 +77,12 @@ cloud of your choice (AWS, GCP, Azure) and automatically deploy ClearML agents:
|
||||
and shuts down instances as needed, according to a resource budget that you set.
|
||||
|
||||
|
||||
### Reproducing Tasks
|
||||
### Reproducing Task Runs
|
||||
|
||||
|
||||
|
||||
|
||||
Use ClearML's web interface to reproduce tasks and edit their details, like hyperparameters or input models, then execute the tasks
|
||||
Use ClearML's web interface to reproduce task runs and edit their details, like hyperparameters or input models, then execute the tasks
|
||||
with the new configuration on a remote machine.
|
||||
|
||||
When ClearML is integrated into a script, it captures and stores configurations, such as hyperparameters
|
||||
|
||||
@ -3,6 +3,33 @@ title: Version 3.24
|
||||
---
|
||||
|
||||
|
||||
### Enterprise Server 3.24.2
|
||||
|
||||
**New Features**
|
||||
* Add support for additional billing event formats
|
||||
* Improve login to multi-tenant service
|
||||
|
||||
**Bug Fixes**
|
||||
* Security fixes when exporting data to CSV
|
||||
* Fix access permissions to UI Applications
|
||||
|
||||
### Enterprise Server 3.24.1
|
||||
|
||||
**New Features**
|
||||
* Add service for presigning AWS S3 URLs
|
||||
* Add support for additional billing event formats
|
||||
* Add support for user-customized UI themes
|
||||
* Add configuration to disable adding users to the workspace via the UI
|
||||
* Add on-demand refresh to UI applications
|
||||
* Add grouped same-event view to UI "Latest Task Events"
|
||||
|
||||
**Bug Fixes**
|
||||
* Fix downloaded CSV file of UI “Latest Task Events” missing some events
|
||||
* Fix access permissions to UI Reports
|
||||
* Fix configuration modal of UI application instance displays incorrect values
|
||||
* Fix UI Hyper-Dataset frame viewer navigation controls not displaying
|
||||
|
||||
|
||||
### Enterprise Server 3.24.0
|
||||
|
||||
**Default Behavior Change: Access Rules Enabled**
|
||||
|
||||
34
package-lock.json
generated
34
package-lock.json
generated
@ -737,11 +737,13 @@
|
||||
}
|
||||
},
|
||||
"node_modules/@babel/helpers": {
|
||||
"version": "7.26.7",
|
||||
"version": "7.26.10",
|
||||
"resolved": "https://registry.npmjs.org/@babel/helpers/-/helpers-7.26.10.tgz",
|
||||
"integrity": "sha512-UPYc3SauzZ3JGgj87GgZ89JVdC5dj0AoetR5Bw6wj4niittNyFh6+eOGonYvJ1ao6B8lEa3Q3klS7ADZ53bc5g==",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"@babel/template": "^7.25.9",
|
||||
"@babel/types": "^7.26.7"
|
||||
"@babel/template": "^7.26.9",
|
||||
"@babel/types": "^7.26.10"
|
||||
},
|
||||
"engines": {
|
||||
"node": ">=6.9.0"
|
||||
@ -826,10 +828,12 @@
|
||||
}
|
||||
},
|
||||
"node_modules/@babel/parser": {
|
||||
"version": "7.26.8",
|
||||
"version": "7.26.10",
|
||||
"resolved": "https://registry.npmjs.org/@babel/parser/-/parser-7.26.10.tgz",
|
||||
"integrity": "sha512-6aQR2zGE/QFi8JpDLjUZEPYOs7+mhKXm86VaKFiLP35JQwQb6bwUE+XbvkH0EptsYhbNBSUGaUBLKqxH1xSgsA==",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"@babel/types": "^7.26.8"
|
||||
"@babel/types": "^7.26.10"
|
||||
},
|
||||
"bin": {
|
||||
"parser": "bin/babel-parser.js"
|
||||
@ -1939,7 +1943,9 @@
|
||||
}
|
||||
},
|
||||
"node_modules/@babel/runtime": {
|
||||
"version": "7.26.7",
|
||||
"version": "7.26.10",
|
||||
"resolved": "https://registry.npmjs.org/@babel/runtime/-/runtime-7.26.10.tgz",
|
||||
"integrity": "sha512-2WJMeRQPHKSPemqk/awGrAiuFfzBmOIPXKizAsVhWH9YJqLZ0H+HS4c8loHGgW6utJ3E/ejXQUsiGaQy2NZ9Fw==",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"regenerator-runtime": "^0.14.0"
|
||||
@ -1960,12 +1966,14 @@
|
||||
}
|
||||
},
|
||||
"node_modules/@babel/template": {
|
||||
"version": "7.26.8",
|
||||
"version": "7.26.9",
|
||||
"resolved": "https://registry.npmjs.org/@babel/template/-/template-7.26.9.tgz",
|
||||
"integrity": "sha512-qyRplbeIpNZhmzOysF/wFMuP9sctmh2cFzRAZOn1YapxBsE1i9bJIY586R/WBLfLcmcBlM8ROBiQURnnNy+zfA==",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"@babel/code-frame": "^7.26.2",
|
||||
"@babel/parser": "^7.26.8",
|
||||
"@babel/types": "^7.26.8"
|
||||
"@babel/parser": "^7.26.9",
|
||||
"@babel/types": "^7.26.9"
|
||||
},
|
||||
"engines": {
|
||||
"node": ">=6.9.0"
|
||||
@ -1988,7 +1996,9 @@
|
||||
}
|
||||
},
|
||||
"node_modules/@babel/types": {
|
||||
"version": "7.26.8",
|
||||
"version": "7.26.10",
|
||||
"resolved": "https://registry.npmjs.org/@babel/types/-/types-7.26.10.tgz",
|
||||
"integrity": "sha512-emqcG3vHrpxUKTrxcblR36dcrcoRDvKmnL/dCL6ZsHaShW80qxCAcNhzQZrpeM765VzEos+xOi4s+r4IXzTwdQ==",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"@babel/helper-string-parser": "^7.25.9",
|
||||
@ -15567,7 +15577,9 @@
|
||||
}
|
||||
},
|
||||
"node_modules/prismjs": {
|
||||
"version": "1.29.0",
|
||||
"version": "1.30.0",
|
||||
"resolved": "https://registry.npmjs.org/prismjs/-/prismjs-1.30.0.tgz",
|
||||
"integrity": "sha512-DEvV2ZF2r2/63V+tK8hQvrR2ZGn10srHbXviTlcv7Kpzw8jWiNTqbVgjO3IY8RxrrOUF8VPMQQFysYYYv0YZxw==",
|
||||
"license": "MIT",
|
||||
"engines": {
|
||||
"node": ">=6"
|
||||
|
||||
89
sidebars.js
89
sidebars.js
@ -634,60 +634,55 @@ module.exports = {
|
||||
]},
|
||||
]
|
||||
},
|
||||
/* {'Getting Started': [
|
||||
'getting_started/architecture',
|
||||
]},*/
|
||||
{
|
||||
'Enterprise Server': {
|
||||
'Deployment Options': [
|
||||
'deploying_clearml/enterprise_deploy/multi_tenant_k8s',
|
||||
'deploying_clearml/enterprise_deploy/vpc_aws',
|
||||
'deploying_clearml/enterprise_deploy/on_prem_ubuntu',
|
||||
],
|
||||
'Maintenance and Migration': [
|
||||
'deploying_clearml/enterprise_deploy/import_projects',
|
||||
'deploying_clearml/enterprise_deploy/change_artifact_links',
|
||||
'deploying_clearml/enterprise_deploy/delete_tenant',
|
||||
]
|
||||
|
||||
}
|
||||
},
|
||||
{
|
||||
type: 'category',
|
||||
collapsible: true,
|
||||
collapsed: true,
|
||||
label: 'ClearML Application Gateway',
|
||||
label: 'Enterprise Server',
|
||||
items: [
|
||||
'deploying_clearml/enterprise_deploy/appgw_install_compose',
|
||||
'deploying_clearml/enterprise_deploy/appgw_install_k8s',
|
||||
]
|
||||
},
|
||||
'deploying_clearml/enterprise_deploy/custom_billing',
|
||||
{
|
||||
'UI Applications': [
|
||||
'deploying_clearml/enterprise_deploy/app_install_ubuntu_on_prem',
|
||||
'deploying_clearml/enterprise_deploy/app_install_ex_server',
|
||||
'deploying_clearml/enterprise_deploy/app_custom',
|
||||
]
|
||||
},
|
||||
{
|
||||
'User Management': [
|
||||
'user_management/user_groups',
|
||||
'user_management/access_rules',
|
||||
'user_management/admin_vaults',
|
||||
{
|
||||
type: 'category',
|
||||
collapsible: true,
|
||||
collapsed: true,
|
||||
label: 'Identity Provider Integration',
|
||||
link: {type: 'doc', id: 'user_management/identity_providers'},
|
||||
items: [
|
||||
'deploying_clearml/enterprise_deploy/sso_multi_tenant_login',
|
||||
'deploying_clearml/enterprise_deploy/sso_saml_k8s',
|
||||
'deploying_clearml/enterprise_deploy/sso_keycloak',
|
||||
'deploying_clearml/enterprise_deploy/sso_active_directory'
|
||||
{'Deployment Options': [
|
||||
'deploying_clearml/enterprise_deploy/multi_tenant_k8s',
|
||||
'deploying_clearml/enterprise_deploy/vpc_aws',
|
||||
'deploying_clearml/enterprise_deploy/on_prem_ubuntu',
|
||||
]
|
||||
},
|
||||
{'Maintenance and Migration': [
|
||||
'deploying_clearml/enterprise_deploy/import_projects',
|
||||
'deploying_clearml/enterprise_deploy/change_artifact_links',
|
||||
'deploying_clearml/enterprise_deploy/delete_tenant',
|
||||
]
|
||||
},
|
||||
{'ClearML Application Gateway': [
|
||||
'deploying_clearml/enterprise_deploy/appgw_install_compose',
|
||||
'deploying_clearml/enterprise_deploy/appgw_install_k8s',
|
||||
]
|
||||
},
|
||||
'deploying_clearml/enterprise_deploy/custom_billing',
|
||||
{'UI Applications': [
|
||||
'deploying_clearml/enterprise_deploy/app_install_ubuntu_on_prem',
|
||||
'deploying_clearml/enterprise_deploy/app_install_ex_server',
|
||||
'deploying_clearml/enterprise_deploy/app_custom',
|
||||
]
|
||||
},
|
||||
{'User Management': [
|
||||
'user_management/user_groups',
|
||||
'user_management/access_rules',
|
||||
'user_management/admin_vaults',
|
||||
{
|
||||
type: 'category',
|
||||
collapsible: true,
|
||||
collapsed: true,
|
||||
label: 'Identity Provider Integration',
|
||||
link: {type: 'doc', id: 'user_management/identity_providers'},
|
||||
items: [
|
||||
'deploying_clearml/enterprise_deploy/sso_multi_tenant_login',
|
||||
'deploying_clearml/enterprise_deploy/sso_saml_k8s',
|
||||
'deploying_clearml/enterprise_deploy/sso_keycloak',
|
||||
'deploying_clearml/enterprise_deploy/sso_active_directory'
|
||||
]
|
||||
},
|
||||
]
|
||||
},
|
||||
]
|
||||
},
|
||||
],
|
||||
|
||||
Loading…
Reference in New Issue
Block a user