diff --git a/_ml-commons-plugin/cluster-settings.md b/_ml-commons-plugin/cluster-settings.md index f0ee867f..b0ce5382 100644 --- a/_ml-commons-plugin/cluster-settings.md +++ b/_ml-commons-plugin/cluster-settings.md @@ -2,7 +2,7 @@ layout: default title: ML Commons cluster settings has_children: false -nav_order: 10 +nav_order: 160 --- # ML Commons cluster settings diff --git a/_ml-commons-plugin/ml-dashboard.md b/_ml-commons-plugin/ml-dashboard.md new file mode 100644 index 00000000..11d6e12c --- /dev/null +++ b/_ml-commons-plugin/ml-dashboard.md @@ -0,0 +1,67 @@ +--- +layout: default +title: Managing ML models in OpenSearch Dashboards +nav_order: 120 +--- + +Released in OpenSearch 2.6, the machine learning (ML) functionality in OpenSearch Dashboards is experimental and can't be used in a production environment. For updates or to leave feedback, see the [OpenSearch Forum discussion](https://forum.opensearch.org/t/feedback-ml-commons-ml-model-health-dashboard-for-admins-experimental-release/12494). +{: .warning } + +Administrators of machine learning (ML) clusters can use OpenSearch Dashboards to manage and check the status of ML models running inside a cluster. This can help ML developers provision nodes to ensure their models run efficiently. + +As of OpenSearch 2.6, you can only upload models using the API. For more information about how to upload a model to your cluster, see [Upload model to OpenSearch]({{site.url}}{{site.baseurl}}/ml-commons-plugin/model-serving-framework#upload-model-to-opensearch). + +## Enabling ML in Dashboards + +In OpenSearch 2.6, ML functionality is disabled by default. To enable it, you need to edit the configuration in `opensearch_dashboards.yml` and then restart your cluster. + +To enable the feature: + +1. In your OpenSearch cluster, navigate to your Dashboards home directory; for example, in Docker, `/usr/share/opensearch-dashboards`. +2. Open your local copy of the Dashboards configuration file `opensearch_dashboards.yml`. If you don't have a copy, get one from GitHub: [`opensearch_dashboards.yml`](https://github.com/opensearch-project/OpenSearch-Dashboards/blob/main/config/opensearch_dashboards.yml). +3. Add the setting `ml_commons_dashboards.enabled:` to `opensearch_dashboards.yml`. Then, set it to `ml_commons_dashboards.enabled: true` and save the configuration file. +4. Restart the Dashboards container. +5. Verify that the feature configuration settings were created and configured properly by launching OpenSearch Dashboards. The Machine Learning section should appear under **OpenSearch plugins**. + +## Accessing ML functionality in Dashboards + +To access ML functionality in OpenSearch Dashboards,select **OpenSearch plugins** > **Machine Learning**. + +Machine Learning section in OpenSearch dashboards + +In the Machine Learning section, you now have access to the **Deployed models** dashboard. + +## Deployed models dashboard + +The deployed models dashboard gives admins the ability to check the status of any models stored inside your OpenSearch cluster. + +The deployed models view. + +The dashboard includes the following information about the model: + +- **Name**: The name of the model given upon upload. +- **Status**: The number of nodes for which the model responds. + - When all nodes are responsive, the status is **Green**. + - When some nodes are responsive,the status is **Yellow**. + - When all nodes are unresponsive,the status is **Red**. +- **Model ID**: The model ID. +- **Action**: What actions you can take with the model. + +As of OpenSearch 2.6, the only action available is **View Status Details**, shown in the following image. + +You can view status details under actions. + +When selected, the Status Details panel appears. + +The panel provides the following details inside the panel: + +- **Model ID** +- **Model status by node**: The number of nodes for which the model is responsive. + +A list of nodes gives you a view of each node the model is running on, including each node’s **Node ID** and status, as shown in the following image. This is useful if you want to use the node's **Node ID** to determine why a node is unresponsive. + +The status of each node running the model. + +## Next steps + +For more information about how to manage ML models in OpenSearch, see [Model-serving framework]({{site.url}}{{site.baseurl}}/ml-commons-plugin/model-serving-framework/). diff --git a/images/ml/ml-dashboard/deployed-models.png b/images/ml/ml-dashboard/deployed-models.png new file mode 100644 index 00000000..cd99e78a Binary files /dev/null and b/images/ml/ml-dashboard/deployed-models.png differ diff --git a/images/ml/ml-dashboard/ml-dashboard.png b/images/ml/ml-dashboard/ml-dashboard.png new file mode 100644 index 00000000..db5167f3 Binary files /dev/null and b/images/ml/ml-dashboard/ml-dashboard.png differ diff --git a/images/ml/ml-dashboard/model-node-details.png b/images/ml/ml-dashboard/model-node-details.png new file mode 100644 index 00000000..b4b43a19 Binary files /dev/null and b/images/ml/ml-dashboard/model-node-details.png differ diff --git a/images/ml/ml-dashboard/view-status-details.png b/images/ml/ml-dashboard/view-status-details.png new file mode 100644 index 00000000..b92f7819 Binary files /dev/null and b/images/ml/ml-dashboard/view-status-details.png differ