With admin privilege run de following command to docker compose the django enviroment.

$ git clone https://github.com/fergo2910/exercise.git
$ cd exercise
$ docker-compose up [-d]

And then enter to the landpage localhost/exercise_redis/home If you want to connect into the database, you can run the following command to the redis container

docker exec -it <container> redis-cli [-h <hostname>]

For redis persistence storage change the volumne directory to your folder to store the data at the docker-compose.yml file.

volumes:
- //c/Users/fjgonzalez/Music/data:/data

For Node.js app to recognize redis, Node.js calls redis with the hostname in the code_node_api/node_modules/redis/index.js where is define the port and the host (line 70).

Once the environment is working, the following url should be executed: localhost/exercise_redis/home. In the localhost/exercise_redis/elements you can add products and search products.

When you want to try new changes into code, you need stop docker-compose with Ctrl + C and remove the images that were created with the docker-compose. Also you can run the commands.

docker stop $(docker ps -a -q)
docker rm $(docker ps -a -q)
docker images
docker rmi exercise_web_app_01
docker rmi exercise_web_app_02

So you can start from scratch.

The architecture of this exercise is the following:

Two networks were created to be used within the solution

• back-tier Internal network communicating the api of Node.js and Redis
• front-tier Internal network communicating the web app, consul and Node.js

It was developed in this way to define the difference between Frontend and Backend (as a concept).

If you want the same enviroment in cloud you could run a CFN service with the following steps.

1. Go to your aws console and EC2 service.
2. Generate a Key-pair to connect to an EC2 Instance.
3. This will save a key.pem file with a rsa key. Save this key into your root project.
4. change the privileges of the key.pem with the command chmod 400 key.pem so the key wont be modifiable, only readable.
5. Now, you need to create a user in your aws account.
   1. Go to your console
   2. Go to IAM service
   3. Users, and create a user and save the public and secrete keys of the user.
6. Set up a profile for aws-cli with the command aws configure --profile exercise
7. Enter the public key of the created user
8. Enter the private key of the created user
9. Choose your region
10. You can leave the default format in blank
11. Now with aws configured run, the following command to create the CloudFormation stack in AWS.

aws cloudformation create-stack --stack-name exercise_stack --template-body file://$PWD/aws-stack.yml --profile exercise --region us-west-2

8. When the stack is CREATE_COMPLETE you need to go to Resources and click in the Physical ID of the EC2_Deploy and copy the public IP of the instance.
9. You have to configure a volumne for redis in the aws-docker-compose.yml using:
10. Finally, you can run docker-compose -H tcp://public_ip:2375 up -f aws-docker-compose.yml
11. When everything is up you can access through your browser to the public ip and it will show you the same page that you build with docker compose localy.