Monitor Cloudera Machine Learning (CML) workspace and workload performance using Cloudera Observability (Technical Preview)
With Cloudera Observability, you can collect metrics from Cloudera Machine Learning (CML) and obtain detailed information about the resources used in the Cloudera Machine Learning (CML) service.
From the ML Summary dashboard, you can monitor multiple ML workspaces at the CML service level and manage the individual workspaces. From the Ml workspace dashboard, you can monitor, optimize, and troubleshoot ML workloads such as sessions, jobs, models, and applications, categorized by the user, team, and project.
How to enable Machine Learning feature in Cloudera Observability
To enable the Machine Learning feature in the Cloudera Observability user
interface,
complete the following tasks:
- Confirm with Cloudera Support that your account is enabled for the feature from the Cloudera side with appropriate entitlements.
- Enable the outbound traffic. For information, see AWS outbound network access destinations.
- Installation of Cloudera Observability components on the CML workspace with Cloudera
Machine Learning 2.0.45-b81 version and higher:
- For new workspaces created with the Cloudera Machine Learning version 2.0.45-b81 or higher, the components are installed automatically.
- For existing workspaces upgraded from an older version to the Cloudera Machine Learning 2.0.45-b81 version or higher, the components are installed automatically during the upgrade.
- If the existing workspace is already on the latest version of Cloudera Machine Learning, you must suspend and resume the workspace to install the Cloudera Observability components.
- Manually configure the API key for CML workspace.
