System Design Interview : Design a URL shortening service

Today, our focus will be on constructing a URL shortener akin to popular services like tinyurl.com. We will explore various algorithms, discuss their strengths and weaknesses, and ultimately determine which one is best suited for this particular system. Before diving into the technical details, it's essential to establish a set of concrete assumptions. For instance, we can assume that URLs will have a maximum length of 7 characters, and we need to anticipate the volume of incoming traffic. Let's say our system needs to handle up to one million hits per day, which translates to approximately 30 million hits each month, and so on. <blockquote> Interview Advice: In most system design interviews, you’ll receive a broad or vague problem statement, like the one shown here. Your task as the interviewee is to ask the right follow-up questions and clarify the requirements. </blockquote> We'll begin by constructing a data capacity model. This model will encompass crucial elements such as: <ul> <li>Long URLs, each consuming approximately 2KB of storage.</li> <li>Short URLs, each represented by 7 characters.</li> <li>Creation datestamps, requiring 7 bytes of storage.</li> <li>Expiry date information, also necessitating 7 bytes of storage.</li> </ul> While this may appear straightforward, designing for scalability in real-world scenarios adds complexity. Building a system that scales effectively involves more than a simplistic single-server approach; it demands a thoughtful and comprehensive strategy. <a href="https://bootcamp.uxdesign.cc/system-design-interview-design-a-url-shortening-service-tinyurl-12973d3a745e">Read More</a>