Exploring System Design: Coupling

Venkatachalapathi Narayanan
3 min readJul 6, 2024

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Hello, fellow readers! welcome back and thanks for stopping by. Let’s delve into something insightful.

Picture this: I’ve spent countless hours meticulously organizing my extensive collection of books by genre, lovingly arranging each one on its dedicated shelf. Finally, my home library is a paradise of literary order — a place where every book finds its rightful place.

One sunny afternoon, Chidambaram Sivasamy a lawyer practitioner and my good friend, pays a visit. Now, Chidambaram shares my passion for early 19th-century literature, especially Jane Austen’s works. Excited to show off my collection, I invite him to browse through.

As he steps into the room, his eyes light up with excitement at the sight of so many books. However, as he starts to explore, that initial enthusiasm quickly turns to confusion. Despite my best efforts at organization, Chidambaram finds himself lost among the bookshelves, struggling to locate his favorite Austen novels amid the sea of titles.

Watching his frustration grow, I realize that my system of arranging books, while orderly, lacks something crucial. There’s more to effective library management than just neat rows of books — it’s about understanding how to make the right books accessible at the right time.

In that moment, it hits me — a deeper understanding of system design principles, particularly the concept of coupling. This realization not only transforms how I think about organizing my books but also offers valuable insights into designing efficient systems in any context.

Epiphany:

At first glance, your bookshelf seems perfectly organized — it’s cohesive. All the literature books are in one place, easy to access. But the experience reveals a hidden complexity: tightly coupled elements. Finding a specific author within a broad genre section is a frustrating and inefficient task.

Understanding the Core Issue: Coupling

Coupling in system design is like the hidden thread tying your modules pr components together in a way that’s not immediately visible. It refers to the degree of direct dependence between modules. High coupling means each component heavily relies on others, creating a tangled web that’s hard to navigate and maintain.

The Current Problem

  1. Time-Consuming Search: Finding a specific book by author or publication date is highly time-consuming.
  2. New Additions: When I add a new book in chronological order, it’s hard to filter by author.
  3. Reorganization Hassles: Adding a book might require rearranging many others.

Solution: The Bookshelf Transformation

Decade-Based Sections: Divide the shelves into sections for each decade from 1700 to the 2020s.

  1. Each section has books organized chronologically and alphabetically by author.
  2. Moving a book from one decade to another doesn’t disrupt the rest.

Tags for Quick Identification: Each book has a tag indicating its publication year and the author’s initial.

  1. Books are physically arranged by genre, year, and then alphabetically.
  2. Tags make it easy to find books by date.

This method ensures that each section is loosely coupled, offering more flexibility in adding and removing books without disturbing the entire collection.

Why This Design Matters

A system designed to be highly cohesive and loosely coupled is more flexible, easier to maintain, and scalable. To achieve this, follow these principles:

  1. Separation of Concerns: Each module or section should handle a single part of the functionality.
  2. Minimize Dependencies: Reduce the number of direct connections between modules.
  3. Clear Interfaces: Define clear interfaces for how modules interact.
  4. Encapsulation: Hide the internal workings of a module from others.

By applying these principles, we can create a robust, efficient, and user-friendly system — whether it’s a bookshelf or a software application.

So, is this design efficient, reliable, and does it solve all problems? Stay tuned for the next chapter, where we delve into the next level of complexity.

Until next time, happy reading!

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