Рет қаралды 923
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In this episode of Scaling Postgres, we discuss three organizations scaling their databases to 100 TB and beyond, collation speed, configuring memory and new AI extensions
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Timestamps:
00:00 - Intro
00:23 - To 100TB, and beyond!
02:43 - Postgres Performance Demystified
03:18 - How much speed you're leaving at the table if you use default locale?
05:30 - How to Get the Most out of Postgres Memory Settings
09:35 - PGSQL Phriday #017
09:53 - Making PostresQL a Better AI Database
12:38 - Pgai: Giving PostgreSQL Developers AI Engineering Superpowers
12:48 - Pgvectore vs. Pinecone: Vecto Database Performance and Cost Comparison
12:53 - How We Made PostgreSQL as Fast as Pinecone for Vector Data
13:05 - PostgreSQL and Pgvector: Now Faster Than Pinecone, 75% Cheaper, and 100% Open Source
13:15 - CloudNativePG Recipe 8: Participating in PostgreSQK 17 Testing Program in Kubernetes
13:36 - CloudNativePG - on minicube on openSUSE Leap Micro6
13:55 - CloudNativePG - Bootstraping an empty cluster
14:00 - CloudNativePG - Configuring the PostgreSQL instance
14:03 - CloudNativePG - PostgreSQL extensions
14:06 - CloudNativePG - The kubectl plugin
14:08 - CloudNativePG - Scaling up and down
14:16 - 2024.pgconf.dev and Growing the Community
14:42 - Benchmark Amazon RDS for PostgreSQL Single-AZ DB instance, Multi-AZ instance, and Multi-AZ DB Cluster deployments
17:07 - Outro
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