Data Externalization vs Hardcoded Data
Developers should use data externalization when building applications that require frequent updates to data, support multiple environments (e meets developers should use hardcoded data for values that are truly constant and unlikely to change, such as mathematical constants (e. Here's our take.
Data Externalization
Developers should use data externalization when building applications that require frequent updates to data, support multiple environments (e
Data Externalization
Nice PickDevelopers should use data externalization when building applications that require frequent updates to data, support multiple environments (e
Pros
- +g
- +Related to: configuration-management, database-design
Cons
- -Specific tradeoffs depend on your use case
Hardcoded Data
Developers should use hardcoded data for values that are truly constant and unlikely to change, such as mathematical constants (e
Pros
- +g
- +Related to: configuration-management, environment-variables
Cons
- -Specific tradeoffs depend on your use case
The Verdict
Use Data Externalization if: You want g and can live with specific tradeoffs depend on your use case.
Use Hardcoded Data if: You prioritize g over what Data Externalization offers.
Developers should use data externalization when building applications that require frequent updates to data, support multiple environments (e
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