> For the complete documentation index, see [llms.txt](https://docs.nuvens.cloud/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.nuvens.cloud/architecture/workspaces-manager-architecture-guide/management.md).

# Management

* User Location: quickly identify where in the world a WorkSpaces user is logging on from;
* User Usage: understand what time a user logs on and logs off. Including how long a user is idle for. (Providing the WSM agent is deployed);
* Performance Monitoring: notification to take proactive action if a user is regularly hitting CPU or memory constraints (Providing the WSM agent is deployed);
* In-session Latency: quickly review the latency of a user’s WorkSpace over the previous 12 hours;
* IP Alert: ensure you aren’t caught off guard with WorkSpace rebuilds or expansion with automated IP alerts;
* Reports: Nuvens are able to create a vast variety of reports, depending upon what is required. These would be discussed and created as part of the implementation.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.nuvens.cloud/architecture/workspaces-manager-architecture-guide/management.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.