> For the complete documentation index, see [llms.txt](https://aiden-labs.gitbook.io/aiden-labs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://aiden-labs.gitbook.io/aiden-labs/whitepaper/scalability-and-performance.md).

# Scalability and Performance

Aiden’s platform is designed to handle growth and maintain high performance by utilizing both vertical and horizontal scaling methods.

## **Vertical Scalability**

* Upgrades server hardware, adding more RAM, processors, or storage to improve system capacity.
* Optimizes software to efficiently use resources, enhance query performance, and implement caching strategies for faster responses.

## **Horizontal Scalability**

* Enables virtually limitless growth by adding more machines to distribute workloads.
* Enhances system resilience and fault tolerance by spreading tasks across multiple nodes, minimizing risks from single points of failure.

This approach ensures that Aiden’s system can scale efficiently while maintaining robust performance and reliability.


---

# 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://aiden-labs.gitbook.io/aiden-labs/whitepaper/scalability-and-performance.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.