# Accessing the Aizen Platform

## Authorizing Access to Regular Users

Users access the Aizen platform by using the Aizen Jupyter console. If you are the admin user, you can grant users with the appropriate Aizen roles so that they can log in to the Aizen Jupyter console. For more information, see [Managing Users and Roles](/docs/getting-started/managing-users-and-roles.md).

## Using the Aizen Tutorial

As a regular user, you can download the sample tutorial from Aizen public repository (<https://github.com/aizen-corp/tutorial.git>) and then execute the sample notebooks.

1. Connect to JupyterLab via the application URL: `http://<KUBERNETES CLUSTER INGRESS HOST>/aizen/console`.
2. In the **Sign in** dialog box, enter your username and password, and click the **Sign in** button. ![](/files/ZQh0fq6Zo93F3YTLz22q)

   This will launch the Aizen Jupyter console.
3. Click on the Git Clone icon in the toolbar of the console:

   ![](/files/ifvHvpIF7wupvBbHKXWu)<br>
4. Specify the URL of the sample tutorial in the text box of the pop-up dialog box, and then click on the **Clone** button:

   ![](/files/qLZ8szjgZHMZ3ym23LoO)

   \
   You will see a tutorial folder created:

   ![](/files/9XL4Aq4eBc26psoNoUzr)
5. Double-click on the **tutorial** folder. You should be able to open notebooks from the **aizen\_free** or **aizen\_licensed** subfolders.

   ![](/files/GDC1tnnkdMUAAzBT1NDr)

   \
   There, you will be able to run the Trip Fare Prediction use case, which demonstrates the AI pipeline.

   ![](/files/Ejo3hNCjSRyNT9pEcIXZ)

## Monitoring Aizen Metrics

To monitor Aizen metrics, click on the **Grafana** button, and log in with this username and password: `admin/prom-operator`.

<figure><img src="/files/gz6grTsieF2dB1jQMU2D" alt=""><figcaption><p>Grafana Button</p></figcaption></figure>


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# Agent Instructions: Querying This Documentation

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

```
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```

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.
