> For the complete documentation index, see [llms.txt](https://docs.bdb.ai/data-science-lab-5/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.bdb.ai/data-science-lab-5/data-science-notebook/resource-utilization-graph.md).

# Resource Utilization Graph

{% hint style="info" %}
*<mark style="color:green;">Please Note:</mark> The graph displays requests and limits of CPU and Memory. The values will be calculated and previewed in the UI after each cell execution.*
{% endhint %}

* The image displays the resource utilization graph when the utilized resources are within the set limit.

<figure><img src="/files/AOV4IK8tm8NgggHhEf0k" alt=""><figcaption></figcaption></figure>

* The resource utilization graph turns yellow if 60% of the given limit is utilized.

<figure><img src="/files/LQOFZrdtSrbH36TYMZTl" alt=""><figcaption></figcaption></figure>

* If 80% of the given limit is utilized the resource utilization graph turns red (as shown in the below-given image).

<figure><img src="/files/vjYJbvjC7xdgCgMc4p7b" alt=""><figcaption></figcaption></figure>

{% hint style="info" %}
*<mark style="color:green;">Please Note:</mark>* &#x20;

* *The user can open a maximum of four files in the Tab format.*
* *If CPU and Memory usage exceeds the threshold, the Kernal and the Data Science Notebook will be restarted.*
  {% endhint %}


---

# 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:

```
GET https://docs.bdb.ai/data-science-lab-5/data-science-notebook/resource-utilization-graph.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.