Scaling Postgres

Scaling Postgres

Creston Jamison

4.8from 16 ratings

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83Podcast AuthorityScore out of 100 · How it is scored
437
Episodes
110
Transcribed
16
Ratings
Daily
Cadence
2018
First episode
522K
YouTube views

About Scaling Postgres

Learn how to get the best performance and scale your PostgreSQL database with our weekly shows. Receive the best content curated from around the web. We have a special focus on content for developers since your architecture and usage is the key to getting the most performance out of PostgreSQL.

Publisher
Creston Jamison
Category
technology
Language
en
Explicit
No
First episode
27 Feb 2018
Latest episode
4 Oct 2026

Latest episodes

110 of 437 episodes have a transcript.

  1. 4 Oct 2026TRANSCRIPT

    The Reason For Reversions | Scaling Postgres 437

  2. 27 Sept 2026TRANSCRIPT

    Postgres 19 Beta 4 Released! | Scaling Postgres 436

  3. 20 Sept 2026TRANSCRIPT

    Postgres 19 Revert Train! | Scaling Postgres 435

Inside a recent episode

The Reason For Reversions | Scaling Postgres 437

Published 4 Oct 2026 · Transcript excerpt

[…] So that's something to keep in mind. And this I don't think has been mentioned enough, but repack concurrently is not in VCC safe. So if a repeatable read transaction is started, and then you start the repack, if you try to access that table in that repeatable read transaction snapshot, You'll basically see zero records after the repack swap has happened. So again, just need to be cautious about long-running transactions when doing these repack operations. Apparently, there's also a memory and a hard ceiling on concurrent number of changes. So this is updates and deletes that are happening during the repack operation. […]

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Reach and audience

Public platform figures. Ratings count people who left a rating, not total listeners.

YouTube views
521,997
Score snapshot 15 Sept 2025
Apple Podcasts (US)
4.8 / 5
12 ratings
Spotify
4.8 / 5
4 ratings

Podcast Authority Score: 83 / 100

A composite of feed quality, social presence, YouTube performance and engagement. Read the methodology.

Quality
94
Social presence
0
YouTube
93
Engagement
90

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The show publishes daily, based on its RSS feed.

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Yes. Guests have been identified in episode analyses.

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