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Kubernetes on Azure tutorial - Prepare an application
In this Azure Kubernetes Service (AKS) tutorial, you learn how to prepare and build a multi-container app with Docker Compose that you can then deploy to AKS.
container-service
tutorial
01/12/2021
mvc

Tutorial: Prepare an application for Azure Kubernetes Service (AKS)

In this tutorial, part one of seven, a multi-container application is prepared for use in Kubernetes. Existing development tools such as Docker Compose are used to locally build and test an application. You learn how to:

[!div class="checklist"]

  • Clone a sample application source from GitHub
  • Create a container image from the sample application source
  • Test the multi-container application in a local Docker environment

Once completed, the following application runs in your local development environment:

:::image type="content" source="./media/container-service-kubernetes-tutorials/azure-vote-local.png" alt-text="Screenshot showing the container image Azure Voting App running locally opened in a local web browser" lightbox="./media/container-service-kubernetes-tutorials/azure-vote-local.png":::

In later tutorials, the container image is uploaded to an Azure Container Registry, and then deployed into an AKS cluster.

Before you begin

This tutorial assumes a basic understanding of core Docker concepts such as containers, container images, and docker commands. For a primer on container basics, see Get started with Docker.

To complete this tutorial, you need a local Docker development environment running Linux containers. Docker provides packages that configure Docker on a Mac, Windows, or Linux system.

Note

Azure Cloud Shell does not include the Docker components required to complete every step in these tutorials. Therefore, we recommend using a full Docker development environment.

Get application code

The sample application used in this tutorial is a basic voting app consisting of a front-end web component and a back-end Redis instance. The web component is packaged into a custom container image. The Redis instance uses an unmodified image from Docker Hub.

Use git to clone the sample application to your development environment:

git clone https://github.com/Azure-Samples/azure-voting-app-redis.git

Change into the cloned directory.

cd azure-voting-app-redis

Inside the directory is the application source code, a pre-created Docker compose file, and a Kubernetes manifest file. These files are used throughout the tutorial set. The contents and structure of the directory are as follows:

azure-voting-app-redis
│   azure-vote-all-in-one-redis.yaml
│   docker-compose.yaml
│   LICENSE
│   README.md
│
├───azure-vote
│   │   app_init.supervisord.conf
│   │   Dockerfile
│   │   Dockerfile-for-app-service
│   │   sshd_config
│   │
│   └───azure-vote
│       │   config_file.cfg
│       │   main.py
│       │
│       ├───static
│       │       default.css
│       │
│       └───templates
│               index.html
│
└───jenkins-tutorial
        config-jenkins.sh
        deploy-jenkins-vm.sh

Create container images

Docker Compose can be used to automate building container images and the deployment of multi-container applications.

Use the sample docker-compose.yaml file to create the container image, download the Redis image, and start the application:

docker-compose up -d

When completed, use the docker images command to see the created images. Three images have been downloaded or created. The azure-vote-front image contains the front-end application and uses the nginx-flask image as a base. The redis image is used to start a Redis instance.

$ docker images

REPOSITORY                                     TAG                 IMAGE ID            CREATED             SIZE
mcr.microsoft.com/azuredocs/azure-vote-front   v1                  84b41c268ad9        9 seconds ago       944MB
mcr.microsoft.com/oss/bitnami/redis            6.0.8               3a54a920bb6c        2 days ago          103MB
tiangolo/uwsgi-nginx-flask                     python3.6           a16ce562e863        6 weeks ago         944MB

Run the docker ps command to see the running containers:

$ docker ps

CONTAINER ID        IMAGE                                             COMMAND                  CREATED             STATUS              PORTS                           NAMES
d10e5244f237        mcr.microsoft.com/azuredocs/azure-vote-front:v1   "/entrypoint.sh /sta…"   3 minutes ago       Up 3 minutes        443/tcp, 0.0.0.0:8080->80/tcp   azure-vote-front
21574cb38c1f        mcr.microsoft.com/oss/bitnami/redis:6.0.8         "/opt/bitnami/script…"   3 minutes ago       Up 3 minutes        0.0.0.0:6379->6379/tcp          azure-vote-back

Test application locally

To see the running application, enter http://localhost:8080 in a local web browser. The sample application loads, as shown in the following example:

:::image type="content" source="./media/container-service-kubernetes-tutorials/azure-vote-local.png" alt-text="Screenshot showing the container image Azure Voting App running locally opened in a local web browser" lightbox="./media/container-service-kubernetes-tutorials/azure-vote-local.png":::

Clean up resources

Now that the application's functionality has been validated, the running containers can be stopped and removed. Do not delete the container images - in the next tutorial, the azure-vote-front image is uploaded to an Azure Container Registry instance.

Stop and remove the container instances and resources with the docker-compose down command:

docker-compose down

When the local application has been removed, you have a Docker image that contains the Azure Vote application, azure-vote-front, for use with the next tutorial.

Next steps

In this tutorial, an application was tested and container images created for the application. You learned how to:

[!div class="checklist"]

  • Clone a sample application source from GitHub
  • Create a container image from the sample application source
  • Test the multi-container application in a local Docker environment

Advance to the next tutorial to learn how to store container images in Azure Container Registry.

[!div class="nextstepaction"] Push images to Azure Container Registry