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The problem is, you only know what you know.

Sure you reduce deployment complexity, but what about maintaining your algorithm that implements data persistence and replication?

To assume that will never spectacularly bite you is naive. Tests also only go so far as you know what you are testing for, and while you don't know if your product will ever be used, you also don't know if it will explode in success and you will be hostage of your own decisions and technical debt.

These are HARD decisions. Hard decisions require solid solutions. You can surely try that with toy projects, but if I was in a position to build a software architecture for something that had a remote possibility of being used in production, I would oppose such designs adamantly.



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