You need to provide a secure password for the environment variable MONGODB_PASSWORD. The environment property contains the environment variables that are passed to the container. The benefit of using the unless-stopped property is that the containers will start automatically once the Docker Engine is restarted or any error occurs. This means your containers will only be stopped when the Docker Engine is stopped/restarted or when you explicitly stop the containers. The restart property defines how the container should be restarted-in your case it is unless-stopped. The image property specifies the image name and what the Docker image will be tagged as. You use the container_name property to define a name for each container. In this case, the app folder that will contain the Dockerfile. The build property defines the context of the build. MONGODB_USERNAME : flaskuser MONGODB_PASSWORD : your_mongodb_password MONGODB_HOSTNAME : mongodb Image : /flask -python : 3.6 restart : unless -stoppedĮnvironment : APP_ENV : "prod" APP_DEBUG : "False" APP_PORT : 5000 MONGODB_DATABASE : flaskdb You will also add the services tag that you will define in the next step: Docker Compose file version 3 targets Docker Engine version 1.13.0+, which is a prerequisite for this setup. The docker-compose.yml file starts with a version number that identifies the Docker Compose file version. Next, create the docker-compose.yml file: To get started, create a directory for the application in the home directory on your server: For additional information about sharing data in Docker, you can refer to How To Share Data Between the Docker Container and the Host. Volumes are the best way to persist data in Docker, as the data in the volumes can be exported or shared with other applications. Volumes are stored in a part of the host filesystem managed by Docker ( /var/lib/docker/volumes/ on Linux). The services can be connected to each other and each can have a volume attached to it for persistent storage. The docker-compose.yml file lets you define your application infrastructure as individual services. In this step, you will set up the docker-compose.yml file to run your Flask application. The infrastructure can be defined in a single file and built with a single command. Step 1 - Writing the Stack Configuration in Docker Composeīuilding your applications on Docker allows you to version infrastructure easily depending on configuration changes you make in Docker Compose. Docker Compose installed with the instructions from Step 1 of How To Install Docker Compose.Docker installed with the instructions from Step 1 and Step 2 of How To Install and Use Docker.A non-root user with sudo privileges configured by following the steps in the Initial Server Setup tutorial.To follow this tutorial, you will need the following: Nginx acts as a reverse proxy server that forwards requests to Gunicorn for processing. Flask requires a web server to serve HTTP requests, so you will also use Gunicorn, which is a Python WSGI HTTP Server, to serve the application. You will define the entire stack configuration in a docker-compose.yml file, along with configuration files for Python, MongoDB, and Nginx. In this tutorial you will build, package, and run your to-do web application with Flask, Nginx, and MongoDB inside of Docker containers. Docker Compose uses a project name to isolate environments from each other, this allows you to run multiple environments on a single host. This ensures that there is version control throughout your container infrastructure. It allows you to define all your services in a single Compose file, and with a single command you create and start all the services from your configuration. Using Docker Compose provides ease of use over running multiple docker container run commands. Developers can use Docker to simplify the process of packaging and deploying their applications.ĭocker Compose has further simplified the development environment by allowing you to define your infrastructure, including your application services, network volumes, and bind mounts, in a single file. To continue the scalability of a developer’s tech stack, MongoDB is a NoSQL database is designed to scale and work with frequent changes. As a micro web framework built on Python, Flask provides an extensible way for developers to grow their applications through extensions that can be integrated into projects. Considering lighter weight options designed to reduce complexity and time-to-production for your application can result in a more flexible and scalable solution. Introductionĭeveloping web applications can become complex and time consuming when building and maintaining a number of different technologies. The author selected the Internet Archive to receive a donation as part of the Write for DOnations program.
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