Scaling Postgres

A podcast by Creston Jamison - Sundays

Sundays

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163 Episodes

  1. Postgres 17 Beta 1 Released | Scaling Postgres 318

    Published: 2/06/2024
  2. Time-Series Open Source Extension | Scaling Postgres 317

    Published: 26/05/2024
  3. New Releases & 1,000 Times Faster Query | Scaling Postgres 316

    Published: 19/05/2024
  4. Hacking On Postgres is Hard! | Scaling Postgres 315

    Published: 12/05/2024
  5. 150 Times Faster pgvector? | Scaling Postgres 314

    Published: 5/05/2024
  6. The Future of MySQL is Postgres? | Scaling Postgres 313

    Published: 28/04/2024
  7. Postgres 17 Commit-orama | Scaling Postgres 312

    Published: 21/04/2024
  8. 1,400 Times Faster Max & Group By Performance | Scaling Postgres 311

    Published: 14/04/2024
  9. Andres, Microsoft & Postgres Save Linux? | Scaling Postgres 310

    Published: 7/04/2024
  10. Will Postgres Pull A Redis? | Scaling Postgres 309

    Published: 31/03/2024
  11. Scale Through Sharding | Scaling Postgres 308

    Published: 24/03/2024
  12. Collation Conundrum | Scaling Postgres 307

    Published: 17/03/2024
  13. Scalability Limits From SLRU & Lock Manager | Scaling Postgres 306

    Published: 10/03/2024
  14. 11K Faster Configuration Change | Scaling Postgres 305

    Published: 3/03/2024
  15. Overhead of pg_stat_statements | Scaling Postgres 304

    Published: 25/02/2024
  16. PgBouncer, PgCat, Supavisor Fight!!! | Scaling Postgres 303

    Published: 18/02/2024
  17. UUID vs Bigint Battle!!! | Scaling Postgres 302

    Published: 11/02/2024
  18. Postgres LLM OS & 30 Times Faster Index Builds | Scaling Postgres 301

    Published: 4/02/2024
  19. Scaling Postgres Celebration | Scaling Postgres 300

    Published: 28/01/2024
  20. Build A GPT In SQL | Scaling Postgres 299

    Published: 21/01/2024

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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.

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