> ## 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 Anaconda Enterprise cluster](../../install/on-prem),
you’ll want to continue to manage and monitor the cluster to ensure that it
scales with your organization as needs change. These on-going management and
monitoring tasks include the following:

* When you’ve outgrown your initial Anaconda Enterprise cluster installation,

you can easily [add new nodes](./add-remove-node)—including GPUs. To make
these nodes available to platform users, you’ll
[configure resource profiles](./resource-profile).

* To help you manage your organization’s cluster resources more efficiently,
  Anaconda Enterprise enables you to [track which sessions and deployments
  are running on specific nodes or by specific users](./monitor-sessions-deps).
  You can also [monitor cluster resource usage](./monitor-cluster) in terms
  of CPU, memory, disk space, network and GPU utilization.
* To help you gain insights into user services and troubleshoot issues,
  Anaconda Enterprise provides [detailed logs](./logging) and debugging
  information related to the Kubernetes services it uses, as well as all
  [activity performed by users](./activity). See [fault tolerance in
  Anaconda Enterprise](./fault-tolerance) for information about what to do if a
  master node fails.

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  <img src="https://mintcdn.com/anaconda-29683c67/6fJRxAwYs9izUc34/images/config-cluster-green.png?fit=max&auto=format&n=6fJRxAwYs9izUc34&q=85&s=61042b19a16f2acc265688dc364a689d" alt="" width="1287" height="433" data-path="images/config-cluster-green.png" />
</Frame>