The project adheres to a comprehensive 7-step framework, which includes: defining requirements, developing APIs, estimating resources, modeling data, creating a high-level design, detailing components, and addressing bottlenecks and scaling.
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.