How Martin Kleppmann’s iconic book is evolving for AI and cloud-native architectures
Since its release in 2017, Designing Data-Intensive Applications has become known as the bible for anyone working on large-scale, data-driven systems. The book’s focus on fundamentals (like storage engines, replication, and partitioning) has helped it age well. Still, the world of distributed systems has evolved substantially in the past decade.
Cloud-native architectures are now the default. Object storage has become a first-class building block….

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