Exploring Structural Design Patterns for Scalable Systems

Day 4 - Creational Design Patterns 🚀 Today I explored some of the most important Creational Design Patterns: 🔹 Simple Factory → Centralized object creation 🔹 Factory Method → Subclasses decide which object to create 🔹 Abstract Factory → Create families of related objects 💡 Key realization: 👉 Object creation logic should not be tightly coupled with business logic 👉 These patterns make systems flexible, scalable, and extensible From writing objects → to designing object creation #Day4 #LLD #DesignPatterns #SystemDesign #Java #SoftwareEngineering

🔄 Continuing my Design Patterns journey… After exploring Creational and Structural patterns, today I focused on Behavioral Design Patterns — which define how objects communicate and interact with each other. 💡 Why Behavioral Patterns? They help manage complex communication between objects, making systems more flexible, maintainable, and easier to extend. 📌 Types of Behavioral Design Patterns (GoF – 11 patterns): 1️⃣ Strategy – Defines a family of algorithms and makes them interchangeable 2️⃣ Observer – Notifies multiple objects when one object changes 3️⃣ Command – Encapsulates a request as an object 4️⃣ Chain of Responsibility – Passes requests along a chain of handlers 5️⃣ State – Changes behavior when internal state changes 6️⃣ Template Method – Defines a skeleton of an algorithm with customizable steps 7️⃣ Mediator – Centralizes communication between objects 8️⃣ Iterator – Provides a way to access elements sequentially 9️⃣ Memento – Saves and restores object state 🔟 Visitor – Adds new operations without modifying existing classes 1️⃣1️⃣ Interpreter – Defines grammar and interprets expressions 🧠 Key takeaway: Behavioral patterns focus on how objects interact, helping reduce tight coupling and improving flexibility in code. 🚀 Tomorrow, I’ll implement these patterns with simple code examples. #DesignPatterns #BehavioralPatterns #ObjectOrientedDesign #Java #ProgrammingConcepts #SoftwareEngineering #CodingJourney

Welcome to the first episode of our "Design Patterns" series! In this tutorial, we dive deep into the Factory Method pattern—one of the most essential creational design patterns in software architecture. What you'll learn in this video: ✅ The core problem of tight coupling and why direct object instantiation (the "new" keyword) can be problematic. ✅ A real-world analogy (The Restaurant Analogy) to help you visualize the pattern. ✅ Step-by-step implementation in TypeScript: from defining the Product interface to creating Concrete Creators. ✅ When to use the Factory Method in your own projects to improve maintainability and extensibility. Whether you're a beginner or an experienced developer looking to sharpen your architectural skills, this guide will provide you with a solid foundation for building scalable applications. 🔔 Don't forget to subscribe to follow the rest of the Design Patterns series! In the next episode, we'll explore the Abstract Factory pattern. #TypeScript #DesignPatterns #SoftwareArchitecture #CodingTutorial #FactoryMethod #WebDevelopment #Programming #SoftwareEngineering https://lnkd.in/dzmaRr_J Factory Method Pattern, TypeScript Tutorial, Design Patterns, Creational Design Patterns, Software Architecture, Clean Code, TypeScript Programming, Logistics App Example, Factory Method TypeScript, Programming for Beginners, Advanced TypeScript, Coding Patterns.

Every senior dev thinks in patterns. Every junior dev should, too. 📖 Just dropped Series 1: Creational Design Patterns — the 5 patterns that control how objects are born in your code. Written with diagrams, code & zero fluff. Article: https://lnkd.in/gbXJbEhT Code Repo: https://lnkd.in/gpccrayu #Programming #SoftwareArchitecture #DesignPatterns

🚀 Day 3/25 — LLD Practice: Notification System (Design) Today I designed a scalable and extensible Notification System using multiple design patterns. 🧩 Functional Requirements: System should send notifications via multiple channels (Email, SMS, Popup) Notifications can be dynamically extended with additional data (timestamp, signature, etc.) Multiple components should be notified when an event occurs System should support adding new notification types without changing existing code ⚙️ Non-Functional Requirements: Scalable to handle large number of notifications Extensible (plug & play for new notification channels) Low latency for real-time updates Reliable delivery of notifications 💡 What I learned: Observer Pattern for notifying multiple components Strategy Pattern for handling different notification channels Decorator Pattern for dynamically adding features to notifications How to combine multiple design patterns in one system 🛠️ Design Highlights: Decoupled notification sending logic using Strategy Pattern Dynamic notification enrichment using Decorator Pattern Event-based updates using Observer Pattern Clean and extensible architecture 🙏 Thanks to CoderArmy Aditya Tandon for helping me understand LLD concepts clearly. 📂 GitHub: https://lnkd.in/dUZ_NyRy #LLD #SystemDesign #Java #DesignPatterns #ObserverPattern #StrategyPattern #DecoratorPattern #100DaysOfCode #coderarmy

Post #8: Page Objects in Cypress are optional, not a default Tools are details. Maintainable abstractions are the goal. Page Objects became popular because they offered structure and reuse. In modern frontend stacks, they can also become a source of indirection, hidden waits, and brittle coupling to UI details. A senior approach is not to accept or reject Page Objects by rule. It is to decide what abstraction improves signal and reduces maintenance. When Page Objects tend to break down 1) They mirror screens instead of user intent - You end up with methods that reflect layout, not behavior. A refactor that preserves behavior still breaks tests because the object was tied to implementation. 2) They hide actions and assertions - A single call can do many things. When a test fails, diagnosis becomes slower because the failure context is buried inside layers. 3) They become a dumping ground - Helpers grow without boundaries. Over time the suite becomes harder to reason about than the product itself. - What works better in Cypress most of the time 1) Small, explicit helpers focused on intent - Prefer “actions” or “tasks” that represent business intent: createOrder, loginAs and addItemToCart. - These should keep selectors and interaction rules consistent while staying readable. 2) Keep assertions close to the test - Assertions are the purpose of the test. Keeping them visible improves review quality and makes failures diagnosable. 3) Use custom commands with discipline - Custom commands are useful, but they should not become a second programming language. If an abstraction hides critical behavior, it is costing you signal. A simple rule that scales Abstract repeated interaction mechanics. Do not abstract away the story the test is telling. In your suite today, do abstractions improve clarity, or do they hide failures and slow diagnosis?

We’ve all been there: a codebase where a minor change cascades into a dozen unexpected breakages, or a critical bug proves impossible to reproduce outside of production because its dependencies are inextricably bound to the environment. Often, the root cause traces back to a system lacking architectural flexibility, where components are tightly coupled, making them brittle, hard to test, and even harder to evolve. For years, object-oriented design principles touted inheritance as the primary mechanism for reuse and extensibility. While useful in specific contexts, its overuse often leads to rigid hierarchies and the “fragile base class” problem, limiting our ability to adapt. https://elweezystack.net/

📚 Day 9 of Learning Low Level Design (LLD) Today I learned one of the simplest yet most powerful design patterns — the Singleton Design Pattern. 💡 Core Idea: A class should have only one instance and provide a global point of access to it. 👉 No matter how many times we try to create an object, we always get the same instance. 🔹 How it works: • Make the constructor private (so no direct object creation) • Create a static instance variable • Provide a static method (getInstance) to access the object 🔸 Why Singleton? Without Singleton: ❌ Multiple objects get created ❌ Wasted memory ❌ Inconsistent data With Singleton: ✅ Only one instance exists ✅ Shared resource across the application ✅ Better control over object usage 🔍 Real-world use cases: • Logging system (single log handler) • Database connection (avoid multiple expensive connections) • Configuration manager (single source of truth) ⚠️ Challenges I learned: • Not thread-safe by default • Needs careful handling in multi-threading (locks / double-checking) • Can increase complexity in testing 💡 Key takeaway: “Use Singleton when exactly one object is needed — not more, not less.” Also explored: 👉 Lazy Initialization vs Eager Initialization 👉 Thread-safe Singleton using locking Excited to explore more design patterns ahead 💻🔥 #LLD #DesignPatterns #Singleton #OOP #SoftwareEngineering #SystemDesign #LearningInPublic

One design pattern that is very useful when object creation is expensive or repetitive is the 𝙋𝙧𝙤𝙩𝙤𝙩𝙮𝙥𝙚 𝙋𝙖𝙩𝙩𝙚𝙧𝙣. Its idea is simple: 𝒊𝒏𝒔𝒕𝒆𝒂𝒅 𝒐𝒇 𝒄𝒓𝒆𝒂𝒕𝒊𝒏𝒈 𝒂 𝒏𝒆𝒘 𝒐𝒃𝒋𝒆𝒄𝒕 𝒇𝒓𝒐𝒎 𝒔𝒄𝒓𝒂𝒕𝒄𝒉, 𝒚𝒐𝒖 𝒄𝒍𝒐𝒏𝒆 𝒂𝒏 𝒆𝒙𝒊𝒔𝒕𝒊𝒏𝒈 𝒐𝒏𝒆. This is helpful when an object contains many fields, complex configuration, or costly initialization logic. Rather than rebuilding the same structure again and again, you create a prototype once, then duplicate it when needed. Why it is useful: • it improves performance when creation is costly • it reduces repetitive initialization code • it helps create similar objects quickly • it is useful when object setup is complex A simple Java example: imagine a DocumentTemplate object with title, layout, theme, permissions, and metadata already configured. Instead of rebuilding every new document manually, you clone the template and then adjust only what is different. That means: • the prototype keeps the base configuration • the clone copies the existing state • the client modifies only the needed values This is the real value of the 𝙋𝙧𝙤𝙩𝙤𝙩𝙮𝙥𝙚 𝙋𝙖𝙩𝙩𝙚𝙧𝙣: reuse fully configured objects instead of recreating them from zero. It is especially useful in: • document templates • UI components • game objects • configuration-heavy models The 𝙋𝙧𝙤𝙩𝙤𝙩𝙮𝙥𝙚 𝙋𝙖𝙩𝙩𝙚𝙧𝙣 is a good reminder that sometimes the best way to create an object is not to build it, but to copy it intelligently. #Java #DesignPatterns #PrototypePattern #SoftwareEngineering #BackendDevelopment #OOP #CleanCode #Architecture

🧩 Just published my latest blog — Design Patterns Every Developer Should Know (With Real Examples) 💡 Design patterns are the secret behind clean, scalable & maintainable code — and every developer should have them in their toolkit. In this blog, I've broken down the most important patterns with real-world examples so you can actually apply them in your projects. 🚀 💬 Which design pattern do you use the most? Let me know below! #SoftwareDevelopment #DesignPatterns #CleanCode #Programming #Developer