𝗜𝘁’𝘀 𝗼𝗻𝗲 𝘁𝗵𝗶𝗻𝗴 𝘁𝗼 𝘄𝗿𝗶𝘁𝗲 𝗰𝗼𝗱𝗲 𝘁𝗵𝗮𝘁 𝘄𝗼𝗿𝗸𝘀; 𝗶𝘁’𝘀 𝗮𝗻𝗼𝘁𝗵𝗲𝗿 𝘁𝗼 𝘄𝗿𝗶𝘁𝗲 𝗰𝗼𝗱𝗲 𝘁𝗵𝗮𝘁 𝘀𝗰𝗮𝗹𝗲𝘀 Lately, I’ve been diving deep into Low-Level Design (LLD) to level up my system design skills. As developers, it's easy to get caught up in framework features, but mastering the underlying design patterns is what truly makes a system robust, maintainable, and clean. To kick off this practice, I started with a classic: designing a custom Logger system from scratch in Java. Building this wasn't just about printing statements to the console. It was a great exercise in applying core Object-Oriented principles and design patterns in a real-world scenario. Here are a few key takeaways from the implementation: Singleton Pattern: Ensuring only one instance of the logger exists across the application to prevent resource leaks. Chain of Responsibility: Handling different log levels (INFO, DEBUG, ERROR, etc.) gracefully so the system knows exactly how to route and format different types of messages. Thread Safety: Making sure the logger can handle concurrent requests in a multi-threaded Java environment without bottlenecks or data corruption. Conclusion/Call to Action: Taking the time to architect these everyday utilities from the ground up completely changes how you view the libraries we take for granted. I’m excited to tackle more LLD problems next. For the engineers out there—what was the LLD problem or project that made design patterns finally "click" for you? Let me know below! 👇 #SoftwareEngineering #Java #LowLevelDesign #SystemDesign #DesignPatterns #LearningJourney #Coding
Mastering Low-Level Design with Java: Singleton, Chain of Responsibility & Thread Safety
More Relevant Posts
-
🚀 Mastering the Proxy Design Pattern in LLD Have you ever wondered… 👉 Why directly access a heavy object when you can use a smart middle layer? That’s exactly where the Proxy Design Pattern comes in! 💡 🔍 What is it? Proxy Pattern is a structural design pattern where a proxy object controls access to a real object, adding extra functionality like security, caching, or lazy loading. 🧠 Key Components: • Subject → Common interface • RealSubject → Actual object (heavy work) • Proxy → Controls access & adds logic • Client → Uses proxy instead of real object 📊 Diagram Explanation: Client → Proxy → Real Object 👉 Step-by-step: Client sends request to Proxy Proxy checks (cache / security / lazy load) If needed → creates Real Object Proxy forwards request Result returned to Client 💡 Proxy acts like a smart gatekeeper ⚙️ Why use Proxy? ✅ Lazy Loading (load only when needed) ✅ Security & Access Control ✅ Caching for performance ✅ Logging & Monitoring 🎯 Simple Example (Easy to Understand): Imagine loading an image 📸 from disk (heavy operation) Instead of loading it directly every time: 👉 We use a Proxy • First call → Image loads from disk • Next calls → Already loaded (no delay) 💻 Code idea: Image img = new ProxyImage("photo.jpg"); img.display(); // loads + displays img.display(); // only displays (cached) 🔥 Real-Life Example: Think of a credit card 💳 – it acts as a proxy for your bank account. You don’t carry cash, but still access money when needed! 💡 Quick Tip: 👉 Proxy = Control + Delay + Extra Logic 🎯 This pattern is super useful in: • Image loading (lazy loading) • API calls (caching) • Authentication systems • Distributed systems If you're preparing for LLD interviews or building scalable systems, this is a MUST-KNOW pattern 💯 💬 Drop a comment if you want more design pattern breakdowns! #ProxyPattern #SystemDesign #LLD #SoftwareEngineering #Coding #DesignPatterns #Developers #Java #Programming #Tech
To view or add a comment, sign in
-
-
🧩 Structural Design Patterns Structural Design Patterns focus on how classes and objects are organized to build flexible and maintainable systems. They help reduce tight coupling and make code easier to extend. Common Structural Patterns: Adapter → converts one interface to another Bridge → separates abstraction from implementation Composite → treats individual and group objects the same Decorator → adds behavior dynamically Facade → provides a simple interface to a complex system Proxy → controls access to an object Flyweight → saves memory by sharing common data Why does it matter? These patterns are heavily used in real-world Java applications for: legacy integration wrappers service orchestration logging/security file/folder structures 🎯 In short: Structural patterns help different parts of a system work together in a clean and scalable way. Interview One-Liner Structural Design Patterns deal with how classes and objects are composed to build flexible and maintainable structures while reducing tight coupling. #java #designpatterns #softwaredesign #backenddeveloper #springboot #programming
To view or add a comment, sign in
-
-
🔷 Abstract class vs Interface in modern C# — when does it actually matter? This is one of those questions that comes up in every code review, yet the answer is rarely nuanced enough. Here's my breakdown 👇 ───────────────────────────── ✅ Choose an Abstract Class when: → You have shared logic to reuse across subclasses (concrete methods, fields, constructors) → You need to maintain shared state — interfaces can't hold backing fields → You want to enforce constructor chaining with base(args) → You're modeling a true "is-a" relationship (Dog IS-A Animal) ───────────────────────────── ✅ Choose an Interface when: → You need multiple contracts — C# has no multiple inheritance, but you can implement many interfaces → You're defining a capability, not an identity (IDisposable, ISerializable, ICloneable) → You want maximum testability — interfaces are far easier to mock → You're building a public API for external implementors ───────────────────────────── 💬 Rule of thumb I always come back to: • Shared code/state → Abstract class • Capability across unrelated types → Interface • Constructor enforcement → Abstract class • Multiple "contracts" → Interface • Public API for external implementors → Interface ───────────────────────────── Which pattern do you reach for first? Drop it in the comments 👇 #csharp #dotnet #softwareengineering #cleancode #programming
To view or add a comment, sign in
-
Ever gone back to "fix" one thing — and accidentally broke two others? That's not bad luck. That's a design problem. In my latest short, I break down the Open Closed Principle — one of the most misunderstood SOLID principles — using a real before/after example with document processing code. Here's the core idea: → BAD code opens up every time you need something new → GOOD code extends without ever touching what already works If your codebase has long if-else chains checking object types, this one's for you. 📺 Full C# walkthrough with detailed code on my YouTube channel —https://lnkd.in/giwB2FgW Drop a 🙋 below if you've been burned by this exact pattern before. #SOLIDPrinciples #SoftwareEngineering #CleanCode #CSharp #OpenClosedPrinciple #CodeReview #DeveloperTips
To view or add a comment, sign in
-
**Understanding the Singleton Design Pattern in C++** One instance. Controlled access. Global impact. The **Singleton Pattern** is one of the most widely used — and often misused — design patterns in software development. In this lesson from *The Ray Code*, I break it down in a practical, beginner-friendly way: • **What & Why** — when a single instance actually makes sense • **UML walkthrough** — visualize the structure clearly • **C++ code demo** — step-by-step implementation • **S.W.O.T. analysis** — strengths, weaknesses, opportunities, threats If you're learning **object-oriented design** or preparing for interviews, understanding Singleton is essential. 🎥 Watch here: [https://lnkd.in/g8x2qZxr) --- 💬 **Discussion:** Where have you used (or misused) Singleton in your projects?
To view or add a comment, sign in
-
🔷 Abstract Class vs Interface — Do You Really Know the Difference? After years of code reviews as a Technical Lead, this is one of the most misunderstood concepts I still see developers get wrong in interviews AND in production code. Here's everything you need to know 👇 📌 Abstract Class ✅ Use it when classes share common state, constructors, or logic ✅ "IS-A" relationship — tight, intentional coupling ✅ Think: BaseRepository, BaseEntity, BaseController 📌 Interface ✅ Use it when unrelated classes need the same capability ✅ "CAN-DO" relationship — loose, flexible coupling ✅ Think: ILogger, Serializable, IPaymentGateway 🏛 The Golden Rule: 👉 Ask "What IS it?" → Abstract Class 👉 Ask "What CAN it do?" → Interface Default to interfaces. Only reach for abstract when shared state is genuinely needed. 💡 Why does this matter in real systems? → Interface enables Dependency Inversion (SOLID-D) — the backbone of Clean Architecture → Abstract eliminates code duplication across related classes → Both together make your code testable, scalable, and maintainable What's your rule of thumb when choosing between them? Drop it in the comments 👇 #Java #dotNET #OOP #SoftwareEngineering #TechnicalLead #CleanCode #SOLID #SystemDesign #Programming #CodeQuality #BackendDevelopment #SoftwareArchitecture #100DaysOfCode #LinkedInTech
To view or add a comment, sign in
-
-
Design patterns are the foundation of scalable and maintainable software architecture. In this latest tutorial from The Ray Code, we explore a key design pattern and demonstrate how it helps developers decouple logic, improve flexibility, and write cleaner, more reusable code. If you're serious about growing as a software engineer, understanding patterns like this is essential—not just for interviews, but for building real-world systems that last. 🎥 Watch the full walkthrough: https://lnkd.in/gJpDS78Y Let’s continue the conversation—how are you applying design patterns in your current projects? #SoftwareEngineering #DesignPatterns #CleanCode #Programming #Developer #Architecture #Coding
🔥 Builder Design Pattern in C++
https://www.youtube.com/
To view or add a comment, sign in
-
🚀 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
To view or add a comment, sign in
-
-
𝗗𝗮𝘆 𝟭𝟯/𝟵𝟬: 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝟭𝟬𝟭 — 𝗜𝗻𝘁𝗿𝗼 𝘁𝗼 𝗗𝗲𝘀𝗶𝗴𝗻 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀 Today a I took a step back from syntax to look at the "Big Picture": 𝗗𝗲𝘀𝗶𝗴𝗻 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀. 𝗪𝗵𝗮𝘁 𝗮𝗿𝗲 𝘁𝗵𝗲𝘆? In software engineering, a Design Pattern is a proven, reusable solution to a commonly recurring problem. Think of them as 𝗯𝗹𝘂𝗲𝗽𝗿𝗶𝗻𝘁𝘀 for solving specific architectural challenges. Instead of reinventing the wheel, we use these established industry standards to write cleaner, more efficient code. 𝗧𝗵𝗲 𝟯 𝗣𝗶𝗹𝗹𝗮𝗿𝘀 𝗼𝗳 𝗗𝗲𝘀𝗶𝗴𝗻 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀 I’m diving into the three main categories that every Full Stack developer should know: 1️⃣ 𝗖𝗿𝗲𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀: • These focus on Object Creation logic. • They help decide how an object is created to avoid unnecessary complexity (e.g., controlling how many instances exist). • 𝗘𝘅𝗮𝗺𝗽𝗹𝗲𝘀: Singleton, Factory, Builder. 2️⃣ 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗮𝗹 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀: • These focus on Class & Object Composition. • They help different parts of a system work together smoothly. • 𝗘𝘅𝗮𝗺𝗽𝗹𝗲𝘀: Adapter, Decorator, Proxy. 3️⃣ 𝗕𝗲𝗵𝗮𝘃𝗶𝗼𝗿𝗮𝗹 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀: • These focus on Communication between objects. • They define how objects interact and share responsibilities. • 𝗘𝘅𝗮𝗺𝗽𝗹𝗲𝘀: Observer, Strategy, Command. My next post will be a detailed breakdown of the most famous (and sometimes controversial) pattern: The Singleton Design Pattern. Coding is about solving problems, but Engineering is about solving them sustainably. Design patterns are the secret to building applications that last. 👨💻🔥 #90DaysOfCode #DesignPatterns #SoftwareArchitecture #Java #PentagonSpace #FullStackDeveloper #CreationalPatterns #CleanCode #SoftwareEngineering
To view or add a comment, sign in
-
🚀 Singleton Pattern in Low-Level Design (LLD) – Explained Simply Ever faced a situation where you need only one instance of a class throughout your application? That’s exactly where the Singleton Pattern comes in. 🔹 What is Singleton Pattern? It ensures that a class has only one object and provides a global access point to it. 🔹 Why use it? ✅ Saves memory ✅ Controls access to shared resources ✅ Ensures consistency across the system 🔹 Real-world examples: 🖨️ Printer Manager 🗄️ Database Connection 📜 Logger ⚙️ Configuration Manager 🔹 Basic Idea: Make constructor private Create a static instance Provide a public method to access it 🔹 Best Practice 💡 Use Bill Pugh Singleton – it is: ✔️ Thread-safe ✔️ Lazy-loaded ✔️ High performance 👉 In LLD interviews, Singleton is one of the most commonly asked design patterns. Understanding when not to use it is equally important! 📌 Pro Tip: Avoid overusing Singleton — it can make testing and scaling difficult if misused. 💬 Have you used Singleton in your projects? Where did it help (or cause problems)? Let’s discuss! #SystemDesign #LLD #Java #DesignPatterns #Coding #SoftwareEngineering #Developers #InterviewPrep
To view or add a comment, sign in
-
Explore related topics
- Applying Code Patterns in Real-World Projects
- Why Use Object-Oriented Design for Scalable Code
- Code Design Strategies for Software Engineers
- How Software Engineers Identify Coding Patterns
- How to Design Software for Testability
- Maintaining Consistent Code Patterns in Projects
- Patterns for Solving Coding Problems
- How Pattern Programming Builds Foundational Coding Skills
- Understanding Context-Driven Code Simplicity
- How to Align Code With System Architecture
Explore content categories
- Career
- Productivity
- Finance
- Soft Skills & Emotional Intelligence
- Project Management
- Education
- Technology
- Leadership
- Ecommerce
- User Experience
- Recruitment & HR
- Customer Experience
- Real Estate
- Marketing
- Sales
- Retail & Merchandising
- Science
- Supply Chain Management
- Future Of Work
- Consulting
- Writing
- Economics
- Artificial Intelligence
- Employee Experience
- Workplace Trends
- Fundraising
- Networking
- Corporate Social Responsibility
- Negotiation
- Communication
- Engineering
- Hospitality & Tourism
- Business Strategy
- Change Management
- Organizational Culture
- Design
- Innovation
- Event Planning
- Training & Development