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Designing Data-Intensive Applications

Explore Designing Data-Intensive Applications by Martin Kleppmann: 846 Hacker News mentions from 659 participants in 2007-02-22–2026-11-01. Read original excerpts, compare opinions and save this book.

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Designing Data-Intensive Applications
Martin Kleppmann
Programming

数据密集型应用系统设计

846 mentions · 659 participants · 457 recommenders

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Ddpmitu
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Eequinumerous
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Great book recommendations (I have read parts of the Google SRE book and Designing Data Intensive Applications)! I will also add a couple gems that I don't see often-cited: Simple Object-Oriented Design by Mauricio Aniche and Secure by Design by Dan Bergh Johnsson, Daniel Deogun, and Daniel Sawano. Both have a lot to offer in terms of software design and maintaining complexity. I also liked Refactoring to Patterns by Joshua Kerievsky.

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Rrahimnathwani
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This is not a complete solution, but two books you should buy immediately: Designing Data-Intensive Applications by Martin Kleppmann AI Engineering by Chip Huyen

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MMulticomp
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…elopers-as-AI-agents-and-sometimes-humans into alignment. I also recommend System Design Interview 1 and 2 books by Xu for logical system design refurbishment, Designing Data Intensive Applications for most company programs, and Hexagonal Architecture Explained by Cockburn for finally getting something as small as a class or module to something as large as an entire Information System to have clear modular boundaries, without needing to do fuzzy pattern matching around half-remembered SOLID principles and GoF design patterns or trying to blindly apply 12 factor app design principles. Quality used to take a back seat because there was so much legwork to do. AI has reduced the cost to be excel…

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Ssubset
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…ana. I've been really exercising my non-fiction reading muscles of late. I'm trying weaponise it as an antidote to AI slop and doom-scrolling. My last read was Designing Data-Intensive Applications by Martin Klepmann (the newly released second edition), it was a wonderful read!

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Aatom_arranger
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…ot of experience related to this so I’m just noting some things. Some people in this thread don’t seem to think it’s that hard or overcomplicated. When reading Designing Data-Intensive Applications my main takeaway was that event sourcing can make it easier to solve a lot of issues like performance, scaling, consistency, auditability, etc. It would be interesting to look into what a low overhead way of implementing CRUD with event sourcing in Postgres would look like, then decide if it’s too complex.

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