Download and Configure cdswctl

This topic describes how to download the cdswctl CLI client and configure your SSH public key to authenticate CLI access to sessions.

Before you begin, ensure that the following prerequisites are met:

You have an SSH public/private key pair for your local machine.
You have Contributor permissions for an existing project. Alternatively, create a new project you have access to.
If you want to configure a third-party editor, make sure the Site Administrator has not disabled remote editing for Cloudera Machine Learning.

(Optional) Generate an SSH Public/Private Key

This task is optional. If you already have an SSH public/private key pair, skip this task. The steps to create an SSH public/private key pair differ based on your operating system. The following instructions are meant to be an example and are written for macOS using ssh-keygen.

Open Terminal.
Run the following command and complete the fields:
```
ssh-keygen -t rsa -f ~/.ssh/id_rsa
```
Keep the following guidelines in mind:
- Make sure that the SSH key you generate meets the requirements for the local IDE you want to use. For example, PyCharm requires the -m PEM option because PyCharm does not support modern (RFC 4716) OpenSSH keys.
- Provide a passphrase when you generate the key pair. Use this passphrase when prompted for the SSH key passphrase.
- Save the SSH key to the default ~/.ssh location.

Download cdswctl and Add an SSH Key

Open the Cloudera Machine Learning web UI and go to Settings > Remote Editing for your user account.
Download cdswctl client for your operating system.
Unpack it, and optionally, you can add it to the PATH environment variable on your system.
Add your SSH public key to SSH public keys for session access.
Cloudera Machine Learning uses the SSH public key to authenticate your CLI client session, including the SSH endpoint connection to the Cloudera Machine Learning deployment.
Any SSH endpoints that are running when you add an SSH public key must also be restarted.