This is an end-to-end Azure demo using a Java EE application and various representative Azure services such as managed PostgreSQL, AKS (Azure Kubernetes Service), Azure DevOps Pipelines and Application Insights. The following is how you run the demo.

• You will need a GitHub account.
• You will need an Azure subscription. If you don't have one, you can get one for free for one year here.
• You need to have a Docker Hub account.
• You need to have an Azure DevOps Project. You can sign up for Azure DevOps for free here. Here are instructions on how to set up an Azure DevOps Project. Make sure you choose Git for source control.

We will be using the fully managed PostgreSQL offering in Azure for this demo. If you have not set it up yet, please do so now.

• Go to the Azure portal.
• Select Create a resource -> Databases -> Azure Database for PostgreSQL. Select a single server.
• Specify the Server name to be azure-cafe-db-<your suffix> (the suffix could be your first name such as "reza"). Create a new resource group named azure-cafe-group-<your suffix> (the suffix could be your first name such as "reza"). Specify the login name to be postgres. Specify the password to be Secret123!. Hit 'Create'. It will take a moment for the database to deploy and be ready for use.
• In the portal, go to 'All resources'. Find and click on azure-cafe-db-<your suffix>. Open the connection security panel. Enable access to Azure services, disable SSL connection enforcement and then hit Save.

Once you are done exploring the demo, you should delete the azure-cafe-group-<your suffix> resource group. You can do this by going to the portal, going to resource groups, finding and clicking on azure-cafe-group-<your suffix> and hitting delete. This is especially important if you are not using a free subscription! If you do keep these resources around (for example to begin your own prototype), you should in the least use your own passwords and make the corresponding changes in the demo code.

• You will first need to create the Kubernetes cluster. Go to the Azure portal. Hit Create a resource -> Containers -> Kubernetes Service. Select the resource group to be azure-cafe-group-<your suffix>. Specify the cluster name as azure-cafe-cluster-<your suffix> (the suffix could be your first name such as "reza"). Hit Review + create. Hit Create.

• You will now need to setup kubectl. Here are instructions on how to do that.

• Next you will install the Azure CLI. Here are instructions on how to do that.

• You will then connect kubectl to the Kubernetes cluster you created. To do so, run the following command:

  az aks get-credentials --resource-group azure-cafe-group-<your suffix> --name azure-cafe-cluster-<your suffix>
  

  If you get an error about an already existing resource, you may need to delete the ~/.kube directory.

• You need to have Docker CLI installed and you must be signed into your Docker Hub account. To create a Docker Hub account go to https://hub.docker.com.

• You will now setup Application Insights for consolidated logging (you could easily use ELK or Splunk for the same purpose). Go to the Azure portal. Hit Create a resource -> DevOps -> Application Insights. Select the resource group to be azure-cafe-group-<your suffix>. Specify the name as azure-cafe-insights-<your suffix> (the suffix could be your first name such as "reza"). Hit Review + create. Hit Create.
• In the portal, go to 'All resources'. Find and click on azure-cafe-insights-<your suffix>. In the overview panel, note down the instrumentation key.

• Clone this repository into your own GitHub account. Make sure to update the azure-cafe.yml file to replace occurrences of rezarahman with <Your Docker Hub ID> on GitHub. Make sure to also update the standalone.xml file in the server/ directory to replace occurrences of reza with <your suffix>.
• Go to Azure DevOps home.
• Select your project. Click on project settings -> Pipelines -> Service connections -> New service connection -> GitHub. Provide a connection name. Click authorize. Click OK.
• Select New service connection -> Docker Registry. Select Docker Hub as your registry type. Specify the connection name to be docker-hub-<Your Docker Hub ID>. Fill in your Docker ID, password and email. Click OK.
• Select New service connection -> Kubernetes. Select Azure subscription as your authentication. Specify the connection name to be azure-cafe-cluster. Select the cluster to be azure-cafe-cluster-<your suffix>. Click OK.

• Select pipelines. Click new -> new build pipeline. Select GitHub as source control. Select azure-cafe from your own repository. Select existing Azure Pipelines YAML file. Select azure-pipelines.yml as the path.

• In the YAML file, replace occurrences of rezarahman with <Your Docker Hub ID>. Replace occurrences of <Your Application Insights key> with the instrumentation key you noted earlier. When done, hit save and hit run.

• When the job finishes running, the application will be deployed to Kubernetes.

• Get the External IP address of the Service, then the application will be accessible at http://<External IP Address>/azure-cafe:

  kubectl get svc azure-cafe --watch
  

  It may take a few minutes for the load balancer to be created. When the external IP changes over from pending to a valid IP, just hit Control-C to exit.

Integrate:

• Active Directory
• Redis
• MicroProfile Metrics/Prometheus
• MicroProfile Health Check/Kubernetes
• Key Vault/Configuration
• Service Bus