1. Using azure servicebus with dockercontainer

    TypeScript

    To integrate Azure Service Bus with a Docker container, we'll need to create a Service Bus Namespace, a Queue or Topic within it, and then deploy a Docker container that can communicate with the Service Bus. We will use Pulumi's infrastructure as code approach to define our resources and deploy them to Azure.

    To get started, you'll need to have Pulumi installed and configured with Azure. Ensure your azure-native provider is up-to-date.

    Here's what we're going to do:

    1. Define an Azure Service Bus Namespace. This serves as a container for all messaging components.
    2. Create a Queue within the Service Bus Namespace. Messages will be sent to and from this Queue.
    3. Provision a Docker container in Azure Container Instances (ACI). We'll assume this container needs to communicate with the Service Bus Queue.
    4. Set up required environment variables in the Docker container so that it can utilize the connection string to interact with the Service Bus Queue.

    Define an Azure Service Bus Namespace and Queue:

    We'll start by creating a Service Bus Namespace and then a Queue within that namespace.

    import * as pulumi from "@pulumi/pulumi"; import * as azure from "@pulumi/azure-native"; // Create an Azure Service Bus Namespace const serviceBusNamespace = new azure.servicebus.Namespace("myNamespace", { resourceGroupName: pulumiConfig.require("resourceGroupName"), namespaceName: "mynamespace", location: pulumiConfig.require("location"), sku: { name: "Standard", // Change to "Premium" as needed for features like Geo-Disaster Recovery }, }); // Create a Service Bus Queue within the Namespace const serviceBusQueue = new azure.servicebus.Queue("myQueue", { namespaceName: serviceBusNamespace.name, resourceGroupName: pulumiConfig.require("resourceGroupName"), queueName: "myqueue", }); export const namespaceName = serviceBusNamespace.name; export const queueName = serviceBusQueue.name;

    Provision a Docker container in Azure Container Instances:

    Next, we'll deploy an instance of Azure Container Instances (ACI) that will run our Docker container.

    import * as containerinstance from "@pulumi/azure-native/containerinstance"; // Define the container const appContainer = { name: "myappcontainer", image: "mydockerhub/myappimage:latest", // Replace with your Docker image resources: { requests: { cpu: 1.0, memoryInGB: 1.5, }, }, environmentVariables: [ { name: "SERVICEBUS_NAMESPACE", value: serviceBusNamespace.name, }, { name: "SERVICEBUS_QUEUE", value: serviceBusQueue.name, }, { name: "AZURE_SERVICEBUS_CONNECTION_STRING", // For simplicity, we're assuming that we've got the connection string here. // This should actually be obtained in a secure way, such as through Azure KeyVault. value: "<YOUR_SERVICE_BUS_CONNECTION_STRING>", // Replace with your actual connection string }, ], }; // Deploy the container instance const containerGroup = new containerinstance.ContainerGroup("myContainerGroup", { resourceGroupName: pulumiConfig.require("resourceGroupName"), osType: "Linux", containers: [appContainer], restartPolicy: "Always", }); export const containerGroupId = containerGroup.name;

    Complete TypeScript Program:

    Combining the above parts, here's the complete Pulumi program in TypeScript.

    import * as pulumi from "@pulumi/pulumi"; import * as azure from "@pulumi/azure-native"; import * as containerinstance from "@pulumi/azure-native/containerinstance"; // Configurations for the deployment const pulumiConfig = new pulumi.Config(); const resourceGroupName = pulumiConfig.require("resourceGroupName"); const location = pulumiConfig.require("location"); // Create an Azure Resource Group if not already existing const resourceGroup = new azure.resources.ResourceGroup("myResourceGroup", { resourceGroupName, location, }); // Create an Azure Service Bus Namespace const serviceBusNamespace = new azure.servicebus.Namespace("myNamespace", { resourceGroupName: resourceGroup.name, namespaceName: "mynamespace", location, sku: { name: "Standard", }, }); // Create a Service Bus Queue within the Namespace const serviceBusQueue = new azure.servicebus.Queue("myQueue", { namespaceName: serviceBusNamespace.name, resourceGroupName: resourceGroup.name, queueName: "myqueue", }); // Define one or more containers and their settings. For example: const appContainer = { name: "myappcontainer", image: "mydockerhub/myappimage:latest", resources: { requests: { cpu: 1.0, memoryInGB: 1.5, }, }, environmentVariables: [ { name: "SERVICEBUS_NAMESPACE", value: serviceBusNamespace.name, }, { name: "SERVICEBUS_QUEUE", value: serviceBusQueue.name, }, { name: "AZURE_SERVICEBUS_CONNECTION_STRING", value: "<YOUR_SERVICE_BUS_CONNECTION_STRING>", // Make sure to replace with your actual connection string securely }, ], }; // Deploy an Azure Container Instances (ACI) group with the containers const containerGroup = new containerinstance.ContainerGroup("myContainerGroup", { resourceGroupName: resourceGroup.name, osType: "Linux", containers: [appContainer], restartPolicy: "Always", }); // Export some of the resources' properties to access outside the stack export const namespaceName = serviceBusNamespace.name; export const queueName = serviceBusQueue.name; export const containerGroupId = containerGroup.name;

    Make sure to replace placeholders like "<YOUR_SERVICE_BUS_CONNECTION_STRING>" with actual values before you execute this Pulumi program. Also ensure that the Docker image you specified in mydockerhub/myappimage:latest is the correct one that’s intended to interact with the Azure Service Bus Queue.

    This program defines Pulumi resources for deploying a Service Bus Namespace and a Queue, as well as a Docker container configured to communicate with the Service Bus using environment variables. The use of export statements at the end of the program allows one to access the output from these resources, such as names and IDs, which might be useful for application code or for other components in your Pulumi Stack.

    Run the program with pulumi up to preview and deploy your stack. Always ensure that you review the preview before confirming the deployment to avoid unintended changes or costs.

    Remember to follow best practices for secrets management. Sensitive data like your Service Bus connection string should not be hardcoded but fetched securely at runtime, e.g. from a Pulumi configuration, an Azure Key Vault, or other secrets management tools.