DRY, like most of the guiding principles, is best though of as a guideline rather than a rule. There are always tradeoffs, good architecture practice is mostly a matter of understanding the tradeoffs and making deliberate informed decisions.
Sometimes it is better to duplicate a block of code if it cuts across multiple bounded contexts or presents difficult ownership & synchronization questions.
Database normalization somewhat parallels the DRY concept and helps illustrate the point. The early forms of normalization greatly improve the structure of the data but the highest levels of normalization will start to incurr additional database server overhead and application complexity. There is a middle ground that works best for any application but the exact balance is always a bit fuzzy, imprecise and moving.
The real value of the principles is to provide a language framework for discussing the work so we can make cooperative decisions acknowledging the tradeoffs we make for any given decision.
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DRY, like most of the guiding principles, is best though of as a guideline rather than a rule. There are always tradeoffs, good architecture practice is mostly a matter of understanding the tradeoffs and making deliberate informed decisions.
Sometimes it is better to duplicate a block of code if it cuts across multiple bounded contexts or presents difficult ownership & synchronization questions.
Database normalization somewhat parallels the DRY concept and helps illustrate the point. The early forms of normalization greatly improve the structure of the data but the highest levels of normalization will start to incurr additional database server overhead and application complexity. There is a middle ground that works best for any application but the exact balance is always a bit fuzzy, imprecise and moving.
The real value of the principles is to provide a language framework for discussing the work so we can make cooperative decisions acknowledging the tradeoffs we make for any given decision.