Designing Data-Intensive Applications Second Edition Released

Martin Kleppmann and Chris Riccomini have released the second edition of Designing Data-Intensive Applications, updating the seminal distributed systems reference to incorporate cloud-native infrastructure and modern data architecture patterns. The revision extends the original's coverage of replication, partitioning, and consensus algorithms with contemporary cloud computing primitives. Backend engineers, data engineers, and architects building at scale should treat this as a mandatory update to their reference stack, particularly given how cloud-managed services have reshaped distributed system tradeoffs since the 2017 first edition.