Tutorial: Deploy Recipes in your Radius Application

This tutorial will teach you the following about Recipes

• How to use “dev” Recipes in your Radius Environment to quickly run with containerized infrastructure.
• How to deploy your own Recipes in your Radius Environment to leverage Azure/AWS resources.

Recipes overview

Recipes enable a separation of concerns between infrastructure teams and developers by automating infrastructure deployment. Developers define what they need (Redis, Mongo, etc.), and operators define how it will be deployed (Azure/AWS/Kubernetes infrastructure).

Application overview

This application is a simple to-do list which stores and visualizes to-do items. It consists of a frontend container and a backend Redis Cache.

Prerequisites

• rad CLI
• Radius Bicep VSCode extension
• Setup a supported Kubernetes cluster

Step 1: Initialize a Radius Environment

1. Begin in a new directory for your application:

   mkdir recipes
   cd recipes
   

2. Initialize a new dev environment:

   rad init
   

   Select ‘Yes’ when prompted to create an application.

3. Use rad recipe list to view the Recipes in your environment:

   rad recipe list
   

   You should see a table of available Recipes:

   NAME      TYPE                                    TEMPLATE KIND  TEMPLATE VERSION  TEMPLATE
   default   Applications.Datastores/sqlDatabases    bicep                            ghcr.io/radius-project/recipes/local-dev/sqldatabases:latest
   default   Applications.Messaging/rabbitMQQueues   bicep                            ghcr.io/radius-project/recipes/local-dev/rabbitmqqueues:latest
   default   Applications.Dapr/pubSubBrokers         bicep                            ghcr.io/radius-project/recipes/local-dev/pubsubbrokers:latest
   default   Applications.Dapr/secretStores          bicep                            ghcr.io/radius-project/recipes/local-dev/secretstores:latest
   default   Applications.Dapr/stateStores           bicep                            ghcr.io/radius-project/recipes/local-dev/statestores:latest
   default   Applications.Datastores/mongoDatabases  bicep                            ghcr.io/radius-project/recipes/local-dev/mongodatabases:latest
   default   Applications.Datastores/redisCaches     bicep                            ghcr.io/radius-project/recipes/local-dev/rediscaches:latest
   

Step 2: Define your application

Update app.bicep with the following set of resources:

app.bicep was created automatically when you ran rad init

import radius as radius

@description('The ID of your Radius Environment. Automatically injected by the rad CLI.')
param environment string

@description('The ID of your Radius Application. Automatically injected by the rad CLI.')
param application string

resource frontend 'Applications.Core/containers@2023-10-01-preview' = {
  name: 'frontend'
  properties: {
    application: application
    container: {
      image: 'ghcr.io/radius-project/samples/demo:latest'
    }
    connections: {
      // Define a connection to the redis container
      // Automatically injects conneciton information into the container
      redis: {
        source: db.id
      }
    }
  }
}

resource db 'Applications.Datastores/redisCaches@2023-10-01-preview' = {
  name: 'db'
  properties: {
    environment: environment
    application: application
    // recipe is not specified, so it uses 'default' if present
  }
}

Note that no Recipe name is specified with ‘db’, so it will be using the default Recipe in your environment.

Step 3: Deploy your application

1. Run rad deploy to deploy your application:

   rad deploy ./app.bicep
   

   You should see the following output:

   Building app.bicep...
   Deploying template './app.bicep' for application 'recipes' and environment 'default' from workspace 'default'...
   
   Deployment In Progress...
   
   Completed            db              Applications.Datastores/redisCaches
   Completed            frontend        Applications.Core/containers
   
   Deployment Complete
   
   Resources:
      frontend        Applications.Core/containers
      db              Applications.Datastores/redisCaches
   

   Your application is now deployed and running in your Kubernetes cluster.

2. List your Kubernetes Pods to see the infrastructure container deployed by the Recipe:

   kubectl get pods -n default-recipes
   

   You will see your ‘frontend’ container, along with the Redis cache that was automatically created by the default local-dev Recipe:

   NAME                                   READY   STATUS    RESTARTS   AGE
   frontend-6d447f5994-pnmzv              1/1     Running   0          13m
   redis-ymbjcqyjzwkpg-66fdbf8bb6-brb6q   2/2     Running   0          13m
   

3. Port-forward the container to your machine with rad resource expose:

   rad resource expose containers frontend --port 3000
   

4. Visit http://localhost:3000 in your browser.

   You can now see both the environment variables of your container under Radius Connections as well as interact with the Todo App and add/remove items in it as wanted:

   

Step 4: Use Azure/AWS recipes in your application

This step requires an Azure subscription or an AWS account to deploy cloud resources, which will incur costs. You will need to add the Azure/AWS cloud provider to your environment in order to deploy Azure/AWS resources and leverage Azure Recipes.

• Azure
• AWS

Step 5: Cleanup your environment

1. You can use the rad CLI to delete your environment and all the Radius resources running on your cluster:

   rad env delete default --yes
   

Next steps

• To learn how to create your own custom Recipe visit our administrator guide