> For the complete documentation index, see [llms.txt](https://navixy.com/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://navixy.com/docs/qna/on-premise/deployment-overview.md).

# Deployment overview

- [What hardware to use?](https://navixy.com/docs/qna/on-premise/deployment-overview/what-hardware-to-use.md): Minimum: 4 CPU cores, 8 GB RAM, 500 GB SSD storage. Physical or virtual servers work; use dedicated DB for 5000+ active devices
- [What operating system to choose?](https://navixy.com/docs/qna/on-premise/deployment-overview/what-operation-system-to-choose.md): Ubuntu recommended for ease of maintenance and stability. Linux or Windows supported; OS administration handled by your technical team
- [How to install the platform?](https://navixy.com/docs/qna/on-premise/deployment-overview/how-to-install-the-platform.md): Download and install via easy 3-command wizard or advanced Linux/Windows scripts. Docker or manual setup, scale from 500 to 5000+ assets
- [How to update the platform?](https://navixy.com/docs/qna/on-premise/deployment-overview/how-to-update-the-platform.md): Run automated update scripts on Linux or perform manual updates on Windows. Back up database before starting to enable rollback if needed
- [How to prepare for the update?](https://navixy.com/docs/qna/on-premise/deployment-overview/how-to-prepare-for-the-update.md): Verify Java and MySQL versions meet current requirements. Upgrade software components before platform updates to prevent service failure


---

# 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://navixy.com/docs/qna/on-premise/deployment-overview.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.