Introduction: Designing a social media platform like Twitter presents unique challenges due to the massive amounts of data and the need to scale for millions or billions of users. In this blog post, we will walk you through the process of designing a Twitter-like system, focusing on key aspects such as data modeling, data storage, feed generation, and search functionality. We will start with a high-level architecture and gradually delve into more low-level details, discussing potential complexities and trade-offs along the way. High-Level Architecture High Level Architecture Client: Web and mobile applications for users to interact with the platform. API Gateway: A single entry point to the system, which routes requests to appropriate backend services. Backend Services: Microservices responsible for various functionalities such as user management, tweets, and timeline generation. Data Storage: A combination of databases and storage systems to manage user data, tweets, and other con

Introduction: FAANG companies (Facebook, Amazon, Apple, Netflix, and Google) are renowned for their rigorous software engineering interviews, with system design questions playing a crucial role. These questions assess your ability to design large-scale, scalable, and maintainable systems. In this blog post, we present 10 real-life system design questions that you may encounter during FAANG interviews, along with the type of system architecture each question represents and a brief description of aspects to consider while designing the system. Design a system like Twitter (Social Media Platform) In this question, you will be asked to design a social media platform that can handle massive amounts of data and scale to accommodate millions or billions of users. Focus on aspects like data modeling, data storage, feed generation, and search functionality. This will demonstrate your understanding of distributed systems, databases, and caching strategies. Design a URL shortening service like bi