Demo Example Voting Application with Docker Compose

Welcome to this lesson on Docker Compose! In this tutorial, you will learn how to deploy a multi-container application stack using a simple voting application example. This guide is ideal for anyone looking to understand the practical usage of Docker Compose in orchestrating various services.

Installing Docker Compose on Linux

Since this demonstration is executed on a Linux environment, follow these steps to install Docker Compose:

1. Download the Docker Compose binary using curl:

   sudo curl -L "https://github.com/docker/compose/releases/download/1.16.1/docker-compose" -o /usr/local/bin/docker-compose
   

2. Set the executable permissions:

   sudo chmod +x /usr/local/bin/docker-compose
   

3. Verify the installation by checking the version:

   docker-compose --version
   # Output:
   # docker-compose version 1.16.1, build 1719ceb
   

At this point, Docker Compose is installed and ready to use.

Creating the Docker Compose File

The next step is to set up your Docker Compose file for our application. This example deploys the following services:

• redis: the caching database
• db: the PostgreSQL database
• vote: the voting application
• worker: the background worker process
• result: the results viewer

Step 1: Create the File

Start by creating and writing to the Docker Compose file:

cat > docker-compose.yml

Step 2: Define the Service Configuration

Open the file for editing using your preferred text editor:

vi docker-compose.yml

Within this file, add your service definitions under the root level. A sample Docker Compose file is provided below:

redis:
  image: redis

db:
  image: postgres:9.4

vote:
  image: voting-app
  ports:
    - "5000:80"

worker:
  image: worker-app

result:
  image: result-app
  ports:
    - "5001:80"

In this configuration:

• The redis service uses the official Redis image.
• The db service uses PostgreSQL version 9.4.
• The vote service deploys the voting application, mapping port 5000 on the host to port 80 in the container.
• The worker service processes background tasks.
• The result service displays the outcome, mapping port 5001 on the host to port 80 in the container.

Save your changes once the configurations are complete.

Step 3: Check Running Containers

After saving your changes, you can inspect the running containers with:

docker ps

If you encounter an error such as:

docker-compose up
# Output:
# -bash: docker-compose: command not found

You may need to install Docker Compose using apt-get:

apt-get install docker-compose

If the package is not found via apt-get, use curl as demonstrated earlier.

Deploying the Application Stack

With your Docker Compose file configured, start the application stack by executing:

docker-compose up

As Docker Compose creates the containers, you will see output similar to:

root@Docker_Host_2:/root # docker-compose up
Creating root_redis_1 ... done
Creating root_db_1 ... done
Creating root_vote_1 ... done
Creating root_result_1 ...
Creating root_worker_1 ...

Note: The container names are prefixed with the name of your current directory (e.g., "root").

Viewing Log Output

The log output will display the initialization process for each service. For instance, during the setup of the PostgreSQL database, you might see:

waiting for server start...LOG:  could not bind IPv6 socket: Cannot assign requested address
HINT:  Is another postmaster already running on port 5432? If not, wait a few seconds and retry.
LOG:  database system was shut down at 2017-08-20 21:56:07 UTC
LOG:  MultiXact member wraparound protections are now enabled
LOG:  autovacuum launcher started
Waiting for db
done
server started
ALTER ROLE
...
Connected to db
ERROR:  relation "votes" does not exist at character 38
STATEMENT:  SELECT vote, COUNT(id) AS count FROM votes GROUP BY vote
Error performing query: error: relation "votes" does not exist
Connected to db
Found redis at 172.17.0.2
Connecting to redis

These messages confirm that the containers are in the process of booting up. Once you see all containers running, you can access the voting application and results page; cast a vote and view the outcome.

docker ps

Conclusion

Thank you for following along with this Docker Compose tutorial. You now have a solid understanding of how to use Docker Compose to deploy a multi-container application stack. For more information on Docker Compose and container orchestration, be sure to explore more resources in the Docker documentation.