Deploying Python Web Applications with Docker
Briefly

Deploying Python Web Applications with Docker
"The main promise is isolation: a Docker container that works on an x86_64 Linux machine will work on any x86_64 Linux machine in the same way. Want to quickly set up PostgreSQL for testing? Just run docker run --name postgres -e POSTGRES_PASSWORD=postgres -p 5432:5432 -d --restart=unless-stopped postgres and wait a few seconds. Docker is great for deployment as well as production deployments, and it even supports Windows Server containers these days."
"Of course, there is a trade-off: running something in a Docker container requires more disk space than running the same software outside of Docker would. This is because Docker containers have their own copies of everything: the C library, the shell, core commands, and the runtime of your favorite language. But this is not a bug, it's a feature."
Docker provides strong isolation so containers behave identically across x86_64 Linux hosts. Docker enables quick test setups and supports deployment and production workflows, including Windows Server containers. Containers consume more disk space because each includes separate copies of the C library, the shell, core commands, and language runtimes. Linux distributions vary in logging, directory layout, users and groups, systemd service file availability, and security policies like SELinux, producing configuration differences. System Python handling differs across distributions: mappings and packaging vary, and depending on the system Python makes upgrades more disruptive because virtual environments must be recreated.
Read at Chris Warrick
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