Rethinking Kleppmann's “Designing Data-Intensive Applications”

This story was originally published on HackerNoon at: https://hackernoon.com/rethinking-kleppmanns-designing-data-intensive-applications. Martin Kleppmann and Chris Riccomini discuss how DDIA evolved for AI workloads, cloud-native systems, vector search, and modern database architecture. Check more stories related to cloud at: https://hackernoon.com/c/cloud. You can also check exclusive content about #cloud-native-database, #ai-distributed-systems-design, #martin-kleppmann-ddia-2026, #data-intensive-applications, #vector-search-database, #postgres-extension, #object-storage-database, #good-company, and more. This story was written by: @scylladb. Learn more about this writer by checking @scylladb's about page, and for more stories, please visit hackernoon.com. Martin Kleppmann and Chris Riccomini explain why Designing Data-Intensive Applications needed a second edition. The updated book explores cloud-native architectures, object storage, Postgres extensions, vector databases, streaming tradeoffs, and AI-driven workloads. The conversation also covers how distributed systems are evolving for edge computing, multimodal data, semantic search, and human-AI collaboration.