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Good point. But that's not limited to automation. As with data engineering, or software development, you're likely to overdo it and build something which does not agree with reality if you "try to build the whole thing" at once. Building the smallest possible deployment pipeline (a skeleton pipeline, as it's called in the continuous delivery book (from 2010 but still the best thing on the topic out there) [1]).

You start covering the most essential needs just so they become useful and usable. Then you go ahead and iterate from there, building something which suits your team, company & product. Learning and adapting in the process.

[1] https://www.amazon.de/Continuous-Delivery-Deployment-Automat...




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