# Service Profile

In this section, you will create a **Service Profile** in Rafay's PaaS Studio based on the previously created environment template. The Service Profile can then be used by end users to deploy instances of the custom application as they need. The end users will use the Rafay **Developer Hub** to deploy and manage the custom applications via an App Store type user experience.

In this exercise, we will use a single user account to perform both administrative and end user actions. In real life, the administrative and end users would be different.

* * *

## Step 1: Create Service Profile

In this step, you will use the **PaaS Studio** to create a Service Profile. The service profile will be used to execute the previously create environment template in a self service manner.

- In the console, navigate to **Home -> PaaS Studio**  
- Click **Service Profiles** in the left hand tree  
- Select **em-gs** for the project  
- Click **New Service Profile**  
- Enter a name for the profile  
- Select the previously created environment template  
- Select the template version  
- Select **Custom** for Service Type  
- Select **Yes** for Will compute be auto-created?  
- Click **Save & Continue**

- Under **Input Settings**, uncheck the **Override** checkbox for the **cluster_name** variable  
- Enter the name of an existing managed cluster within the project into the value field  
- Under **Output Settings**, click **Add Output**  
- Enter **kubeconfig** for the Name and Label values  
- Under **Output Settings**, click **Add Output**  
- Enter **kubectl_cmd** for the Name and Label values  
- Click **Save Changes**

* * *

## Step 2: Create Workspace

In this step, you will use the Developer Hub to create a Workspace. A Workspace is a logical isolation boundary where instances from available profiles can be created.

- Navigate to **Home -> Developer Hub**  
- Select **em-gs** for the project  
- Click **Workspaces** in the left hand tree  
- Click **New Workspace**  
- Enter a name for the workspace  
- Click **Save**

* * *

## Step 3: Deploy Custom Service

In this step, you will now use the previously created Service Profile and create a service instance within the workspace.

- Navigate to **Home -> Developer Hub**  
- Select **em-gs** for the project  
- Click **Custom Services** in the left hand tree  
- Click **New Custom Services**  
- Click **Select** on the previously created service card  
- Enter a name for the service instance  
- Select the previously created workspace  
- Enter any name for the input_name variable  
- Click **Deploy**

The instance will deploy onto the cluster that was defined within the Service Profile. It will take ~2 minutes to deploy.

* * *

## Step 4: Access Instance

In this step, you will use the output of the deployed instance to access the web service that was deployed onto the cluster.

- Navigate to **Home -> Developer Hub**  
- Select **em-gs** for the project  
- Click **Custom Services** in the left hand tree  
- Click on the name of the previously created instance

- In the **Output** section, copy the **kubeconfig** value and load it into kubectl to be able to access the cluster  
- In the **Output** section, copy the **kubectl_cmd** value and run this command in order to create a port forward connection to the web service running on the cluster  
- In your local browser, navigate to [http://localhost:8080](http://localhost:8080/)

You will connect to the webserver and see the phrase **Hello** and the name you entered as a variable when deploying the instance

* * *

## Recap

In this part, you used Rafay's PaaS Studio to create a service profile that could be consumed by self service users within Rafay's Developer Hub. From the Developer Hub, you deployed a self service instance of the custom service profile and used the outputs of the deployed instance to access the web server that was deployed from the underlying environment template.