Just use Postgres with Denis Magda

Database School

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7d ago 1:07:59

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In this episode, Aaron talks with Dennis Magda, author of Just Use Postgres!, about the wide world of modern Postgres, from JSON and full-text search to generative AI, time-series storage, and even message queues. They explore when Postgres should be your go-to tool, when it shouldn’t, and why understanding its breadth helps developers build better systems.

Use the code DBSmagda to get 45% off Denis' new book Just Use Postgres!
Order Just Use Postgres!

Follow Denis:
Twitter/X: https://twitter.com/denismagda
LinkedIn: https://www.linkedin.com/in/dmagda

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Twitter/X: https://twitter.com/aarondfrancis
Database School: https://databaseschool.com
Database School YouTube Channel: https://www.youtube.com/@UCT3XN4RtcFhmrWl8tf_o49g (Subscribe today)
LinkedIn: https://www.linkedin.com/in/aarondfrancis
Website: https://aaronfrancis.com - find articles, podcasts, courses, and more.

Chapters:
00:00 – Welcome
01:28 – Dennis’ Background: Java, JVM, and Databases
03:20 – Bridging Application Development & Databases
04:05 – Moving Down the Stack: How Dennis Entered Databases
07:28 – Apache Ignite, Distributed Systems & the Path to Postgres
08:02 – Writing Just Use Postgres!: The Origin Story
10:26 – Why a Modern Postgres Book Was Needed
11:01 – The Spark That Led to the Book Proposal
13:06 – Developers Still Don’t Know What Postgres Can Do
15:40 – Connecting With Manning & Refining the Book Vision
16:38 – What Just Use Postgres! Covers
17:40 – The Book’s Core Thesis: The Breadth of Postgres
19:50 – Favorite Use Cases & Learning While Writing
20:30 – When to Use Postgres for Non-Relational Workloads
23:08 – Full Text Search in Postgres Explained
29:31 – When Not to Use Postgres (Pragmatism Over Fanaticism)
34:01 – Using Postgres as a Message Queue
42:09 – When Message Queues Outgrow Postgres
48:10 – Postgres for Generative AI (PGVector)
55:34 – Dennis’ 14-Month Writing Process
01:00:50 – Who the Book Is For
01:04:10 – Where to Follow Dennis & Closing Thoughts

28 episodes

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