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Re-Designing Data-Intensive Applications: The Shift to Cloud-Native Storage

Published 18 Feb 2026

Duration: 01:20:22

Advances in distributed systems design are explored, including updates on object storage, the CAP theorem, and the role of AI in testing and verification.

Episode Description

Its been nine years since Designing Data-Intensive Applications became the standard text for distributed systems. Today, Martin Kleppmann and Chris Ri...

Overview

The podcast explores the evolution of distributed systems design, highlighting updates in the second edition of Designing Data Intensive Applications. It discusses modern shifts in system architecture, including the adoption of cloud-native object storage, a reevaluation of the CAP theorem, and the increasing role of AI in testing and software verification. The conversation addresses the practical implications of these changes, such as the relevance of strong consistency in contemporary systems and the use of formal methods and property-based testing to ensure software correctness.

Further topics include the challenges of applying formal proofs in industry settings, the potential of AI in generating test cases and content, and the importance of testing in building reliable software. The discussion also examines trade-offs between cloud computing and traditional infrastructure, the emergence of new database designs influenced by cloud-native principles, and the ongoing balance between theoretical rigor and practical application in software development.

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