Documentation changes -- Cloud Auth (#58)

* doc changes

* update

codespell-ignore-words.txt

@@ -1 +1,3 @@
 asend
+AKS
+aks

docs/getting_started/cloud_platforms_auth.rst

@@ -0,0 +1,68 @@
+Cloud Platform instructions
+===========================
+
+
+Amazon Web Services (AWS)
+-------------------------
+
+The below steps are useful if you have your Kubernetes cluster hosted on AWS EKS
+
+**1. Add AWS CLI to your Airflow worker**
+
+.. code-block:: sh
+
+   pip install awscli
+
+Or add the package to your requirements.txt file. For other methods to install the CLI, please see `here <https://docs.aws.amazon.com/cli/latest/userguide/getting-started-install.html>`_
+
+**2. Authenticate with AWS**
+
+.. code-block:: sh
+
+    AWS_ACCESS_KEY_ID=<your-access-key>
+    AWS_SECRET_ACCESS_KEY=<your-secret-access-key>
+    AWS_SESSION_TOKEN=<your-session-token>
+
+The Airflow worker will need to access the Kubernetes cluster on AWS. Setup access using one of the methods listed `here1 <https://docs.aws.amazon.com/cli/v1/userguide/cli-chap-authentication.html>`_
+
+Microsoft Azure
+---------------
+
+If you have your Kubernetes cluster hosted on Azure Kubernetes Service (AKS), follow these steps:
+
+**1. Install Azure CLI on your Airflow worker**
+
+.. code-block:: sh
+
+   pip install azure-cli
+
+For other installation methods, please refer to the `Azure CLI installation guide <https://docs.microsoft.com/en-us/cli/azure/install-azure-cli>`_.
+
+**2. Authenticate with Azure**
+
+To authenticate the Airflow worker with Azure, get the below details from your k8 cluster's service principal:
+
+.. code-block:: sh
+
+    AZURE_CLIENT_ID=<your-client-id>
+    AZURE_CLIENT_SECRET=<your-client-secret>
+    AZURE_TENANT_ID=<your-tenant-id>
+
+Replace ``<app-id>``, ``<password-or-cert>``, and ``<tenant>`` with your specific Azure credentials.
+
+For more authentication options, see the `Azure authentication guide <https://docs.microsoft.com/en-us/cli/azure/authenticate-azure-cli>`_.
+
+Google Cloud Platform (GCP)
+---------------------------
+
+**1. Install the Google Cloud CLI on your Airflow worker**
+
+.. code-block:: sh
+
+    pip install gcloud
+
+**2. Authenticate with GCP**
+
+.. code-block:: sh
+
+    GOOGLE_APPLICATION_CREDENTIALS="/path/to/your/service-account-key.json"

docs/getting_started/setup.rst

@@ -21,17 +21,24 @@ See the `installing Helm <https://helm.sh/docs/intro/install/>`_ page for other
    pip install astro-provider-ray
 
 
+**3. (Optional) Set up Cloud Authentication**
+
+.. toctree::
+   :maxdepth: 1
+
+   Amazon Web Services (AWS) <cloud_platforms_auth>
+
 **3. Setting up the Airflow connection**
 
 - Setup/Teardown a Ray cluster on Kubernetes
 
    - **Connection ID**: e.g., "ray_k8s_conn"
    - **Connection Type**: "Ray"
-   - **Kube config path** OR **Kube config content (JSON format)**: Kubeconfig of the Kubernetes cluster where Ray cluster must be set up
+   - **Kube config path**: Fully qualified path to the kubeconfig file on your repo. For example, *"/usr/local/airflow/config/kubeconfig.yaml"*
+   - **Kube config content (JSON format)**: Kubeconfig of the Kubernetes cluster where Ray cluster must be set up in JSON format
    - **Namespace**: The K8s namespace where your cluster must be created. If not provided, "default" is used
    - **Optional fields**: Cluster context, Disable SSL, Disable TCP keepalive
 
-
 - Use an existing Ray cluster
 
    - **Connection ID**: e.g., "ray_conn"