# Create New Account

Hava produces accurate & logically laid out interactive diagrams when connected to your AWS, Azure or GCP cloud accounts.

This help documentation should help you through the initial set up and operation of the software.

Should you need further help, a one-on-one demo or to discuss our enterprise self hosted solutions, please contact our team on <sales@hava.io> or via the chat widget on [hava.io](https://www.hava.io)

## Getting Started with Hava

Welcome to Hava, you are a few simple steps away from producing accurate cloud infrastructure diagrams in seconds and documenting an audit trail of environment changes as they happen.

<figure><img src="https://files.gitbook.com/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-Loco-kTiJ7Tu_lfPZqb%2Fuploads%2FYUVzNYN97c78owYMFiHZ%2FTry%20Hava.jpg?alt=media&#x26;token=a0503175-70e6-4592-8390-0843e1500306" alt=""><figcaption><p>Try Hava</p></figcaption></figure>

## Login

Once you have completed the sign up process and have your username and password, log in to the Hava app using the "LOGIN" link in the top right corner of the hava.io website, or directly via the following URL <https://app.hava.io/login>

![Hava Login](/files/dJTE6EdwFr3NAWz4YOwg)

*If at any point you forget your password, click on the "Forgot your Password" at the bottom of the login dialogue box and a reset request will be emailed to the email address associated with your account.*

Once logged in, you will be prompted to "Add Environments" - this process varies depending on the type of cloud infrastructure you are using.

Select from the options below for a detailed walk through of each of the platforms that are supported by Hava.


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# Agent Instructions: 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.hava.io/getting-started/readme/create-new-account.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.
