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Docker Compose & Multi-Container Applications

In this lab we're going to experiment with using docker compose to deploy multi-container applications.

Connect to the swarm master

First, ssh into your swarm master (using the instructions from lab 4)

Docker Compose

For this lab, we're going to use a docker compose file to deploy a multi-container application on our cluster.

First, cd into lab five:

cd ~/labfive

We're going to use the file 'docker-compose.yml'

version: '2'
services:
  mysql:
    image: "mysql/mysql-server:latest"
    environment:
      MYSQL_ROOT_PASSWORD: password
      MYSQL_DATABASE: readinglist
      MYSQL_USER: user
      MYSQL_PASSWORD: password

  api:
    image: "ravitella/docker-springboot-recommendationservice:latest"

  web:
    depends_on:
      - mysql
      - api
    image: "ravitella/docker-springboot-readinglistapplication:latest"
    ports:
      - "80:7070"
    environment:
      spring.datasource.url: jdbc:mysql://mysql:3306/readinglist?useSSL=false
      spring.datasource.username: user
      spring.datasource.password: password
      externalAPI.recommendationAPIURL: http://api:8080/recommendations
    restart: on-failure

This file will be used to deploy a three-tier web application:

pcf app

Deploy the stack

We'll use the docker stack command to deploy the compose file:

docker stack  deploy -c docker-compose.yml  READ

You can visit the app in your browser to confirm it works; just look up the dns address or ip address in the Azure portal

Analysis

To view the services in the stack:

docker stack services READ

To vew the running components:

docker stack ps READ

If you still have the Visualizer browser window open from Lab 4, take a look at how these services have deployed across your cluster.

Scale a layer

First, note how the stack components translate to services:

docker service ls

Now, let's scale the web tier:

docker service scale READ_web=3
docker service ls

Take a look at the Docker Visualizer window you opened in Lab four. Notice how the containers making up this application are deployed in the cluster.