Reliability, Scalability, and Maintainability - Designing Data-Intensive Applications by Martin Kleppman

January 19
1h 20m

Episode Description

In this episode of Book Overflow, Carter and Nathan begin discussing Designing Data-Intensive Application by Martin Kleppman!


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Carter

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Nathan

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-- Books Mentioned in this Episode --

Note: As an Amazon Associate, we earn from qualifying purchases.

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Designing Data-Intensive Application by Martin Kleppman!

https://amzn.to/3LNwzSK


00:00 Intro

02:04 About the Book and Author

06:31 Initial Thoughts on DDIA16:39 Reliability, Scalability, and Maintainability

21:45 The Twitter Scalability Problem

33:52 Maintainability and AI-Generated Code

37:31 Data Models and Query Languages

47:20 LLMs as CNC Machines for Engineers

54:40 Storage Engines and Indexing

58:35 OLTP vs OLAP

1:05:08 Encoding and Evolution

1:13:16 Final Thoughts


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Spotify: https://open.spotify.com/show/5kj6DLCEWR5nHShlSYJI5L

Apple Podcasts: https://podcasts.apple.com/us/podcast/book-overflow/id1745257325

X: https://x.com/bookoverflowpod

Carter on X: https://x.com/cartermorgan

Nathan's Functionally Imperative: www.functionallyimperative.com


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Book Overflow is a podcast for software engineers, by software engineers dedicated to improving our craft by reading the best technical books in the world. Join Carter Morgan and Nathan Toups as they read and discuss a new technical book each week!


The full book schedule and links to every major podcast player can be found at https://www.bookoverflow.io

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