![]() ![]() If you do not understand what CORS is or just want to learn more on it, I suggest you read one of the following or all if you're awesome: while avoiding potential cross site scripting attacks. FROM python:3.7.2ĬMD gunicorn -worker-class gevent -workers 8 -bind 0.0.0.What is CORS (Cross-origin Resource Sharing)ĬORS is the way to share resources between different domains. But first, we will need to create a Dockerfile to build a container image for our application. RabbitMQ is a common choice, but you also can use Redis or Kafka.Ī natural way to easily manage multiple containers is to use Docker Compose. Celery requires a message broker to communicate between workers and the app, and store task results. Celery beat container-similar to above, but for tasks invoked on a regular schedule, such as removing accounts of users who never confirmed their email.This is the same application container, but with custom run command to launch Celery, instead of Gunicorn. Celery worker container to execute long tasks.The container will run Gunicorn web server which will communicate with Flask through WSGI protocol. It’s a good idea to split these two functions on the production, but we don’t have any templated pages in our demo app. Application container to serve templated pages and expose API endpoints.Our application will require multiple Docker containers to run: Our next step is to create a Docker configuration. It will have only two lines: from app import create_app Defining an entry point to run the app during development timeĪlso, we will need a separate module to run Flask application with Gunicorn.Defining the Flask app creation function with API initialization and “Hello, world!” page.Configuring basic logging in a proper format with time, level and process ID._current = getattr(sys.modules, ' environment') # create settings object corresponding to specified envĪPP_ENV = os.environ.get('APP_ENV', 'Dev') The idea is to make the app behave according to configuration preset selected by the APP_ENV environment variable, plus, add an option to override any configuration setting with a specific environment variable if required. In the config module, we’ll define our tiny configuration management framework. Pipenv install flask flask-restful flask-sqlalchemy flask-migrate celeryĮcho "Hello World!" > static/hello-world.txt # install required packages with pipenv, this will create a Pipfile The demo app consist of minimal number of modules and packages for the sake of brevity and clarity.įirst, create a directory structure and initialize an empty Git repository. Please note that I will not address proper Flask application structure in this post. Let’s start by creating an application code and assets. Every application will eventually require this to offload time or computation intensive processes-be it mail sending, automatic database housekeeping or processing of uploaded images-from web server threads on external workers. Setting up a Celery task queue to handle long-running tasks.Database structure and migrations will be managed by Alembic with SQLAlchemy providing object-relational mapping. Configuring and deploying a PostgreSQL database for the application.Our application is no different and will be neatly packaged in its own container (multiple containers, in fact). Containerized deployment has been an essential part of software design for quite a long time now. Deploying an app inside Docker containers on a dedicated Linux server.In case we need to scale up our application to multiple servers, Nginx will take care of load balancing as well. That’s why we need Nginx as a reverse proxy and to serve static files. ![]() While being an HTTP web server, Gunicorn, in turn, is an application server not suited to face the web. ![]()
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