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From Code to Container: Understanding Docker and Containerization
You’ve probably experienced this at some point. The application works perfectly on your laptop. The code runs, the tests pass, everything looks good and then someone deploys it to another machine and suddenly something breaks. Maybe the right version of Python isn’t installed. Maybe a package is missing. Maybe the operating system behaves differently. Or perhaps the application depends on a configuration that nobody remembered to document. This is one of the problems Docker w
10 min read
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