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
Audio
https://media.transistor.fm/e9086d2f/53544b26.mp3
JSON
/v1/public/podcasts/the-good-tech-companies-6882802/episodes/rethinking-kleppmann-s-designing-data-intensive-applications
Markdown
/podcast/the-good-tech-companies-6882802/rethinking-kleppmann-s-designing-data-intensive-applications.md

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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.