There are several common options when deploying a Flask application:
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Traditional server deployment:
- Use a web server (such as Nginx or Apache) as a reverse proxy to forward requests to a WSGI server (such as Gunicorn, uWSGI, or mod_wsgi) running a Flask application.
- Configure communication between the web server and the WSGI server, and set up static file handling and routing rules.
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Containerized deployment:
- Use container technology (such as Docker) to package the Flask application into an image, and then run it on the container platform.
- Create a Dockerfile, define the container's environment and dependencies, and build the image using Docker.
- Push the image to the container registry and run the container in the target environment.
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Cloud platform deployment:
- Deploy your Flask application using services provided by cloud computing platforms such as AWS, Google Cloud Platform, or Microsoft Azure.
- Create a virtual machine instance or container instance and install and configure the required environment for the Flask application in it.
- Upload the application to a virtual machine or container instance, and start the application.
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Serverless deployment:
- Deploy your Flask application as a function using a serverless computing platform such as AWS Lambda, Azure Functions, or Google Cloud Functions.
- Package the application's code and dependencies into a function package and upload it to the serverless computing platform.
- Configure triggers and routing rules, as well as the execution logic of the processing function.
Choose the appropriate deployment method based on your needs and technology stack. Traditional server deployment is suitable for traditional web applications, containerized deployment provides better portability and scalability, cloud platform deployment simplifies infrastructure management, and Serverless is suitable for on-demand expansion and reduced operation and maintenance burden scene.