Episode
Rethinking Kleppmann's “Designing Data-Intensive Applications”
- Podcast
- The Good Tech Companies
- Published
- May 28, 2026
- Duration seconds
- 608
- Processing state
not_requested- Canonical source
- https://share.transistor.fm/s/e9086d2f
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Summary
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.