Distributed Systems in Practice: From Design to Performance Analysis: Book for Senior Distributed Systems Leaders

Distributed Systems in Practice: From Design to Performance Analysis is a practical guide to designing, scaling, and operating distributed systems in the real world. The book moves from foundational concepts like latency, throughput, CAP theorem, consistency models, observability, and failure handling into core distributed system building blocks such as caching, distributed hash tables, consensus protocols, transaction logs, distributed databases, search systems, time-series databases, task schedulers, object storage, and probabilistic data structures.

Rather than focusing only on theory, the book explains how systems like Redis, Kafka, Cassandra, Raft, Paxos, and Elasticsearch behave in production, including their trade-offs, performance characteristics, and operational challenges. It emphasizes first-principles thinking, scalability, reliability, and system design patterns used by large-scale modern applications. The goal is to help engineers understand not just how distributed systems work, but why they are designed the way they are.