Financial Management - Spend Tracker App

https://testdriven.io/blog/dockerizing-django-with-postgres-gunicorn-and-nginx/

• To start the Docker containers - The current code is mounted to the container so the current code overwrites the code that was copied in when we built the image:

• docker-compose -f docker-compose.yml up -d --build

• docker-compose -f docker-compose.yml exec web python manage.py migrate --noinput

• View at http://0.0.0.0:8000/admin
• View at http://0.0.0.0:8000/docket/

• docker-compose -f docker-compose.yml down -v

In Prod:

Note: the .env.prod files need to be populated with prod credentials and database before startup (these files are in the git ignore so that prod creds dont go on github)

• docker-compose -f docker-compose.prod.yml up -d --build
• docker-compose -f docker-compose.prod.yml exec web python manage.py migrate --noinput
• docker-compose -f docker-compose.prod.yml down -v

• View at http://0.0.0.0:1337/admin
• View at http://0.0.0.0:1337/docket

Deployment:

This builds the prod docker images, packages them as tar files, pushes to the server, unpacks the tar files, pushes compose and env.prod files, then executes docker-compose up on the server.

• make deploy HOST=[EC2_PUBLIC_IP]

Turn on RDS Instance, add user/pass/host to .env.prod file, run migration Turn on EC2 instance, install docker and docker-compose Run deploy make command with ip address parameter

Server Init:

This initializes a new server with docker and docker-compose so the deployment script will succeed.

• make init_server HOST=[EC2_PUBLIC_IP]