An in-depth guide to the Top K Problem and Heavy Hitters in system design interviews. Explore exact and approximate solutions, distributed system considerations, and real-world applications for finding the most frequent elements in large datasets and data streams.
A deep dive into designing a distributed message queue system. This guide covers core concepts from producers and consumers to advanced topics like delivery semantics (at-least-once, exactly-once), data partitioning, fault tolerance, and achieving high throughput.
A comprehensive, in-depth guide to designing a distributed caching system. We explore core concepts from data partitioning with consistent hashing to advanced topics like consistency models, fault tolerance, and handling real-world challenges like thundering herds.