> ## Documentation Index
> Fetch the complete documentation index at: https://anaconda.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Managing cluster resources

After you’ve [installed an Data Science & AI Workbench cluster](https://anaconda.com/docs/data-science/latest/install/gravity.md), you’ll need to continue managing and monitoring the cluster to ensure that it scales with your organization. These on-going tasks include:

* **Adding nodes:** If you outgrow your initial Workbench cluster installation, you can always [add nodes](https://anaconda.com/docs/data-science/latest/admin/resources/gravity/add-remove-node.md) to your cluster—including GPUs. Once added, make these nodes available to platform users by [configuring resource profiles](https://anaconda.com/docs/data-science/latest/admin/resources/resource-profile.md).
* **Monitoring and managing resources:** To help you manage your organization’s cluster resources more efficiently, Workbench enables you to [monitor which sessions and deployments are running](https://anaconda.com/docs/data-science/latest/admin/resources/gravity/monitor-sessions-deps.md) on specific nodes or by specific users. You can also [monitor cluster resource usage](https://anaconda.com/docs/data-science/latest/admin/resources/gravity/monitor-cluster.md) in terms of CPU, memory, disk space, network, and GPU utilization.
* **Troubleshooting and debugging:** To help you gain insights into user services and troubleshoot issues, Workbench provides [detailed logs](https://anaconda.com/docs/data-science/latest/admin/resources/gravity/logging.md) and debugging information related to the Kubernetes services it uses, as well as all [activity performed by users](https://anaconda.com/docs/data-science/latest/admin/resources/gravity/activity.md). See [fault tolerance in Workbench](https://anaconda.com/docs/data-science/latest/admin/resources/fault-tolerance.md) for information about what to do if a master node fails.

![](https://mintcdn.com/anaconda-29683c67/PJ_ii3MdRzruBlJj/images/data-science/config-cluster-green.png?fit=max\&auto=format\&n=PJ_ii3MdRzruBlJj\&q=85\&s=64b2b200b90e7c382eefab01de4d4726)