This case study explores Twitter's high-level design. It investigates how to handle high read/write throughput, optimize feed generation, manage notifications and address challenges like hashtag management. It emphasizes on designing a core system, managing data, and developing a strong caching strategy.

This case study explores the high-level design of Instagram. It investigates how to handle petabytes of data, scaling image and video storage, designing news feeds and timelines, and optimizing user engagement. It emphasizes on designing core systems, storing media, and developing a strong caching strategy.

This case study explores the high-level design of a popular messaging platform that facilitates real-time communication. It investigates how to handle message delivery across diverse devices, this challenges addressed include offline message handling, media file transmission, and a user system powered by reliable offline storage for users.

This case study examines digital collaboration platforms like Slack and Discord. It investigates how to handle real-time messaging, how to include scaling live chat systems and building a solid data model. It emphasizes on a reliable under heavy loads.

This case study covers the end-to-end video platform design. It investigates how to handle a large number of video recommendations. It emphasizes challenges like video encoding, data transfer, and optimization of video streaming along with millions of queries.

This case study investigates personalized content delivery through a subscription plan. It emphasizes on data management, high availability, ensuring smooth streaming across devices and geo-distributed delivery on a global scale.

This case study explores playlist creation, track recommendations, and managing downloads. The core challenges include seamless user experience, handling millions of requests, and a strong caching for seamless listening experiences.

The case study explores the process of connecting riders with drivers through a GPS-based system. It emphasizes on data and highlights challenges like building geo-location services, calculating dynamic pricing in real-time and managing frequent location updates at scale.

This case study focuses on real-time food delivery. It emphasizes on real-time order tracking. It emphasizes challenges such as delivery route optimization, logistics management, and dish prediction at a large scale.

This case study examines a product discovery, cart management, checkout flows, and order fulfillment. It emphasizes on ensuring high availability, scalability, and handling of scale inventory and ensuring seamless global delivery services.

This case study focuses on an E-commerce multi-seller ecosystem, including order management, product information management, and search functionalities. It emphasizes on designing, scaling payments, and handling large-scale transactions.

This case study analyzes secure online payment processing. It emphasizes challenges on scaling transaction processing systems. Key challenges include real-time fraud detection and secure handling of user financial data along with high availability.

This case study analyzes distributed file storage. It emphasizes on data integrity, high availability, and efficient storage mechanisms. Core challenges include synchronization, handling version conflicts, and low-latency data access.

This case study investigates real-time video streaming. It emphasizes on handling millions of concurrent users. Challenges include low latency communication, managing call quality, and scaling infrastructure for large events.

This case study delves into core email systems. It emphasizes on handling spam filters, high availability, and search functions. Challenges include handling massive storage and real-time email delivery across distributed systems and maintaining consistency.

This case study explores the high-level design of Google's search engine. It emphasizes challenges such as handling petabytes of data, distributed searching, and caching for billions of daily searches.

This case study analyzes community-driven platforms. It emphasizes on data and explores challenges like content moderation, designing personalized feeds, ranking answers, and handling real-time user-generated data.