In this Pragmatic Engineer episode, Martin Kleppmann walks through updates in the second edition of Designing Data-Intensive Applications and shares how his LinkedIn experience shaped the book’s core concepts. He breaks down trade-offs in multi-region and cloud architectures, explains why replication still matters more than sharding, and predicts a rise in formal verification and local-first software.

• Second edition of DDIA cuts MapReduce coverage in favor of Spark and Flink, reflecting how the field has moved on
• Manual sharding has become rare thanks to bigger hardware and managed services, making replication the fault-tolerance skill every team now needs
• Kleppmann predicts LLMs will make formal verification mainstream by automating proof generation, shifting the bottleneck to human review
• Architecture decisions like multi-region or multi-cloud are business trade-offs between risk and cost, not universal best practices