Reyad

Scalability in system design refers to the ability of a system to handle an increasing amount of workload or growth gracefully. As systems grow, handling higher traffic and workloads efficiently becomes crucial. Let's explore two common approaches to scaling systems: 1. Buy a Bigger Machine/Server 🖥 Definition: This approach, known as Vertical Scaling , involves increasing the capacity of a single machine by adding more powerful hardware (e.g., more RAM, better CPUs). Why it matters: Vertical scaling can be simpler to implement initially since it requires fewer architectural changes. Limitations: Hardware limitations eventually cap the scalability. Single points of failure increase risks. Costs rise exponentially with high-end hardware. Conclusion: While vertical scaling is a quick fix, it’s not a sustainable solution for systems requiring massive scalability. 2. Buy More Machines/Servers 💻 💻 💻 Definition: This approach, known as Horizontal Scaling , involves adding more ma...

If you are diving into the world of software development, chances are you have heard the term "SOLID principles." These principles are like the guiding stars for object-oriented programming (OOP), helping developers create code that is easier to understand, maintain, and extend. Whether you're a beginner or a seasoned programmer, mastering these principles can significantly enhance your development skills. Let's explore what SOLID is and why it matters. What is SOLID? SOLID is an acronym representing five design principles for software development. Introduced by Robert C. Martin, also known as "Uncle Bob," these principles are: S - Single Responsibility Principle (SRP) O - Open/Closed Principle (OCP) L - Liskov Substitution Principle (LSP) I - Interface Segregation Principle (ISP) D - Dependency Inversion Principle (DIP) These principles aim to make software more modular and scalable, reducing the risk of bugs and technical debt. Now, let’s dive into ea...

The Bitwise Shift Operators, as the name suggests, operate on the bit pattern by shifting it. But here is a great observation, I will explain it but first I am going to intro the BITWISE SIFT in this matter. You can skip about these bitwise shift operator if you know about these very will and look at the 🌟 point. Two way to sift bitwise,  Bitwise left shift (<<): The Left Shift Operator, as you can guess, shifts the bit pattern to the left. As the bits are shifted to the left, the right-most bit positions are filled with zeros . As the bits are shifted to the left, all the left-most bits shifted beyond the MSB position , are discarded. For example:  1010 1101 << 1 = 0101 1010 1010 1101 << 2 = 1011 0100 Bitwise right shift (>>): The Right-Shift operator has the same properties and characteristics as the Left-Shift operator, however, the bits are shifted to the Right instead. Bits are shifted to the right, the left-most bit positions are filled with zero...