Skip to content

Demo application of Java on App Service (code and container deployments)

License

Notifications You must be signed in to change notification settings

stefsch/java-app-service-demo

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

16 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Java on App Service for Linux (Demo)

This project is a standalone demonstration of Java on Azure App Service for Linux. This is meant to be used by Microsoft employees to highlight the core features of the product.

Contents

Requirements

Before working through this demo, you must have the following technologies on your machine.

  • The Azure CLI
  • An Azure account and subscription
  • Maven (version 3 or greater)

Preparation

Complete these steps before meeting a customer or going to a conference.

  1. Clone this project: git clone https://github.com/JasonFreeberg/java-app-service-demo.git

  2. Provision a Resource Group and Cosmos DB account

    You can create the resources from the portal or using the CLI. The database name must be lowercase. For CLI users...

    az group create -n <your-azure-group-name> -l <your-resource-group-region>
    az cosmosdb create --kind GlobalDocumentDB -g <your-azure-group-name> -n <your-azure-documentDB-name>
    

    Get your database's URI from the Portal or from the JSON response if you used the CLI.

    Lastly, get the primaryMasterKey connection key:

    az cosmosdb list-keys -g <your-azure-group-name> -n <your-azure-documentDB-name>
    
  3. Create an App Service instance and set up the scaling rules

    1. Create an App Service instance in the Portal with the following settings:

      • OS: Linux
      • Publish : Code
      • Runtime Stack: Tomcat 9.0 (JRE 8)
    2. Create a new App Service plan with a P1v2

      • If you have other applications in your plan, the scaling rules may not work as planned
    3. Set up scaling rules

      • Navigate to "Scale out (App Service plan)"
      • Click "Enable autoscale"
      • Click "Add Rule", and set the following for "Criteria":
      Field Memory Rule CPU Rule
      Time Aggregation Minimum Minimum
      Metric name Memory Percentage CPU Percentage
      Time grain statistic Average Minimum
      Operator Greater than Greater than
      Threshold 60 60
      Duration 5 5
      Operation Increase instance count Increase instance count
      Instance count 1 1
      Cool down (minutes) 5 5
  4. Set the follwing environment variables on your local machine. Do not change these names. I suggest making these permanent environment variables (rather than the session current).

    • RESOURCE_GROUP: Name of your resource group
    • APP_SERVICE_NAME: Name of your App Service instance
    • DOCUMENTDB_URI: URI of your Cosmos DB
    • DOCUMENTDB_KEY: Primary key for Cosmos
    • DOCUMENTDB_DBNAME: Name of your Cosmos DB
  5. Deploy the application!

    • Package and deploy the application: mvn clean package azure-webapp:deploy
    • We want to have it deployed ahead of the demo because the cold-start can take a few minutes. During the demo we will re-deploy the application, which saves time.

Demonstration Steps

  1. Orient the audience with the project
    • It's a simple To-Do List application powered by Spring Boot on the backend, and AngularJS on the front.
    • The src directory is fairly lean. The controller class shows all the URL mappings.
    • Show the Azure plugin in the POM and note the following:
      • You only need to include the app name, resource group, and
      • The properties within the <appSettings> are set as environment variables when the app is deployed
  2. Use the Maven plugin to deploy the application
    • mvn azure-webapp:deploy
    • While the deployment is happening, you can show the current version of the application in the browser
    • Create an entry or two
  3. Navigate to the Portal
    • Under "Application Settings", show that the poperties from the POM plugin are now environment variables
    • Show the scaling rules in Portal
  4. Test Cosmos and scaling rules
    • Make a record in Cosmos
    • Spam the buttons to stress-test the memory and CPU
  5. Check on the instance count
    • In "Overview", we should see spikes for CPU and memory usage
    • Under "Scale out" the instance count should have increased
      • It may take a few minutes.
  6. Finally, show the web SSH and log stream

Pitching Notes

  • Using the Maven plugin for deployment
    • This is the primary story we are pushing for deploying Java applications to App Service. Note that they only need to specify their app service name, a resource group, and a runtime. That's it! If the app does not already exist, the plugin will create it!
  • They can deploy a container and use the Azul JDK
    • Add Git repo with images
  • Managed service for Java.
    • Upcoming feature to auto-update the JDK major/minor version, or stay at your current version
  • Things not covered in this demo:
    • Site swaps
    • Jenkins CICD plugin
    • Application Insights

Technical Notes

  • Underlying Linux OS?
  • To run the app locally, you must have Tomcat locally installed with an enviornment variable, TOMCAT_HOME pointing to the tomcat directory. Then you can deploy to your lcoal tomcat using Maven: mvn clean package cargo:deploy.
    • Be sure to use the clean command if you are testing changes to the Javascript, otherwise your changes may not be packaged.
  • Deploying with the WAR is faster because we can do hot deployments thanks to Tomcat
    • If you decide to package a JAR, it may be slower

About

Demo application of Java on App Service (code and container deployments)

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published