stamp coupling in architecture

 Here's a breakdown of stamp coupling in architecture:

What it is:

• Stamp coupling occurs when modules within a system share a composite data structure, but each module only uses a portion of that structure.
• It's like passing a whole book when someone only needs a single chapter.

Example:

• Imagine a function that needs a customer's name, but it's passed a whole customer record containing name, address, phone number, and more.
• The function only uses the name, but it's now tied to the entire structure.

reference : https://en.wikipedia.org/wiki/Coupling_(computer_programming) 

https://www.youtube.com/watch?v=ExbDmyXfBnw 

If it is a distributed call: it directly affects to bandwidth 

If it is an internal it may affect memory consumption 

Distributed Calls:

• Increased bandwidth consumption: When a large composite data structure is passed over a network in a distributed call, it consumes more bandwidth than if only the necessary fields were transmitted. This can lead to:
  • Slower response times
  • Higher network costs
  • Potential network congestion

Internal Calls:

• Increased memory usage: When a large composite data structure is passed around within a system, it occupies more memory than if smaller, focused structures were used. This can lead to:
  • Memory pressure
  • Performance issues (e.g., slower processing, garbage collection overhead)
  • Potential memory leaks

To mitigate these effects, it's important to follow the best practices for reducing stamp coupling:

• Break down composite structures into smaller, more focused ones.
• Pass only the specific data that's needed by each module.
• Use interfaces or abstract data types to hide implementation details.
• Consider messaging or event-driven architectures to decouple modules.

By addressing stamp coupling, you can improve system performance, resource utilization, scalability, and maintainability.