Merge pull request #523 from mbaldessari/fix-regions

Expand supported regions

Author: mbaldessari

content/patterns/rag-llm-gitops/getting-started.md

@@ -7,18 +7,18 @@ aliases: /rag-llm-gitops/getting-started/
 ## Prerequisites
 
 - Podman is installed on your system.
-- You have the OpenShift Container Platform installation program and the pull secret for your cluster. You can get these from [Install OpenShift on AWS with installer-provisioned infrastructure](https://console.redhat.com/openshift/install/aws/installer-provisioned). 
-- Red Hat Openshift cluster running in AWS. 
+- You have the OpenShift Container Platform installation program and the pull secret for your cluster. You can get these from [Install OpenShift on AWS with installer-provisioned infrastructure](https://console.redhat.com/openshift/install/aws/installer-provisioned).
+- Red Hat Openshift cluster running in AWS.
 
 ## Procedure
 
-1. Create the installation configuration file using the steps described in [Creating the installation configuration file](https://docs.openshift.com/container-platform/4.17/installing/installing_aws/ipi/installing-aws-customizations.html#installation-initializing_installing-aws-customizations). 
+1. Create the installation configuration file using the steps described in [Creating the installation configuration file](https://docs.openshift.com/container-platform/4.17/installing/installing_aws/ipi/installing-aws-customizations.html#installation-initializing_installing-aws-customizations).
 
-   > **Note:**  
-   > Supported regions are `us-west-2` and `us-east-1`. For more information about installing on AWS see, [Installation methods](https://docs.openshift.com/container-platform/latest/installing/installing_aws/preparing-to-install-on-aws.html). 
-   > 
+   > **Note:**
+   > Supported regions are `us-east-1` `us-east-2` `us-west-1` `us-west-2` `ca-central-1` `sa-east-1` `eu-west-1` `eu-west-2` `eu-west-3` `eu-central-1` `eu-north-1` `ap-northeast-1` `ap-northeast-2` `ap-northeast-3` `ap-southeast-1` `ap-southeast-2` and `ap-south-1`. For more information about installing on AWS see, [Installation methods](https://docs.openshift.com/container-platform/latest/installing/installing_aws/preparing-to-install-on-aws.html).
+   >
 
-2. Customize the generated `install-config.yaml` creating one control plane node with instance type `m5a.2xlarge` and 3 worker nodes with instance type `p3.2xlarge`. A sample YAML file is shown here: 
+2. Customize the generated `install-config.yaml` creating one control plane node with instance type `m5a.2xlarge` and 3 worker nodes with instance type `p3.2xlarge`. A sample YAML file is shown here:
    ```yaml
    additionalTrustBundlePolicy: Proxyonly
    apiVersion: v1
@@ -62,7 +62,7 @@ aliases: /rag-llm-gitops/getting-started/
 
 3. Fork the [rag-llm-gitops](https://github.com/validatedpatterns/rag-llm-gitops.git) git repository.
 
-4. Clone the forked repository by running the following command: 
+4. Clone the forked repository by running the following command:
 
    ```sh
    $ git clone [email protected]:your-username/rag-llm-gitops.git
@@ -78,14 +78,14 @@ aliases: /rag-llm-gitops/getting-started/
    $ cp values-secret.yaml.template ~/values-secret-rag-llm-gitops.yaml
    ```
    > **Note:**
-   >For this demo, editing this file is unnecessary as the default configuration works out of the box upon installation.  
+   >For this demo, editing this file is unnecessary as the default configuration works out of the box upon installation.
 
-7. Add the remote upstream repository by running the following command: 
+7. Add the remote upstream repository by running the following command:
 
    ```sh
    $ git remote add -f upstream [email protected]:validatedpatterns/rag-llm-gitops.git
    ```
-8. Create a local branch by running the following command: 
+8. Create a local branch by running the following command:
 
    ```sh
    $ git checkout -b my-test-branch main
@@ -100,7 +100,7 @@ aliases: /rag-llm-gitops/getting-started/
     ```sh
     $ git push origin my-test-branch
     ```
-12. Ensure you have logged in to the cluster at both command line and the console by using the login credentials presented to you when you installed the cluster. For example: 
+12. Ensure you have logged in to the cluster at both command line and the console by using the login credentials presented to you when you installed the cluster. For example:
 
     ```sh
     INFO Install complete!
@@ -109,38 +109,38 @@ aliases: /rag-llm-gitops/getting-started/
     INFO Access the OpenShift web-console here: https://console-openshift-console.apps.demo1.openshift4-beta-abcorp.com
     INFO Login to the console with user: kubeadmin, password: <provided>
     ```
-13. Add GPU nodes to your existing cluster deployment by running the following command: 
+13. Add GPU nodes to your existing cluster deployment by running the following command:
 
     ```sh
     $ ./pattern.sh make create-gpu-machineset
     ```
-    > **Note:**  
-    > You may need to create a file `config` in your home directory and populate it with the region name.  
-    > 1. Run the following:  
+    > **Note:**
+    > You may need to create a file `config` in your home directory and populate it with the region name.
+    > 1. Run the following:
     > ```sh
     > vi ~/.aws/config
-    > ```  
-    > 2. Add the following:  
+    > ```
+    > 2. Add the following:
     > ```sh
     > [default]
     > region = us-east-1
     > ```
 
-14. Adding the GPU nodes should take about 5-10 minutes. You can verify the addition of these `g5.2xlarge` nodes in the OpenShift web console under **Compute** > **Nodes**.   
+14. Adding the GPU nodes should take about 5-10 minutes. You can verify the addition of these `g5.2xlarge` nodes in the OpenShift web console under **Compute** > **Nodes**.
 
-15. Install the pattern with the demo application by running the following command: 
+15. Install the pattern with the demo application by running the following command:
 
     ```sh
     $ ./pattern.sh make install
-    ``` 
+    ```
 
-    > **Note:**  
-    > This deploys everything you need to run the demo application including the Nividia GPU Operator and the Node Feature Discovery Operator used to determine your GPU nodes. 
-    > 
+    > **Note:**
+    > This deploys everything you need to run the demo application including the Nividia GPU Operator and the Node Feature Discovery Operator used to determine your GPU nodes.
+    >
 
 ## Verify the Installation
 
-1. In the OpenShift web console go to the **Workloads** > **Pods** menu. 
+1. In the OpenShift web console go to the **Workloads** > **Pods** menu.
 
 2. Select the `rag-llm` project from the drop down.
 
@@ -160,7 +160,7 @@ aliases: /rag-llm-gitops/getting-started/
 
 ### Generate the proposal document
 
-- The demo generates a proposal document using the default provider `Mistral-7B-Instruct`; a model available on Hugging Face. It is a fine-tuned version of the base `Mistral-7B` model. 
+- The demo generates a proposal document using the default provider `Mistral-7B-Instruct`; a model available on Hugging Face. It is a fine-tuned version of the base `Mistral-7B` model.
 
 - Enter any company name for example `Microsoft`.
 - Enter the product as `RedHat OpenShift AI`