Author: Microsoft Mechanics - Bewertung: 0x - Views:6
Increase scalability, optimize performance, and integrate advanced AI features with Azure Database for PostgreSQL Flexible Server. Scale up with SSD v2 for up to 4x more transactions per second and significantly lower latency. Scale out effortlessly with elastic clusters using Citus, distributing workloads across multiple servers at no extra cost. Optimize performance with Automatic Index Tuning, reducing server utilization and enhancing efficiency. Leverage advanced AI features like DiskANN, semantic reranking, and Graph RAG to build better AI apps.
Charles Feddersen, Partner Director of Program Management for Postgres at Microsoft, joins Jeremy Chapman to show you how to build scalable, high-performance AI apps on Azure PostgreSQL Flexible Server today.
► QUICK LINKS:
00:00 - Azure Database for Postgres Flexible Server
00:39 - Updates to PostGreSQL
01:50 - Faster storage with SSD v2
03:06 - Scale out workloads using elastic cluster
03:59 - Provision an elastic cluster
05:34 - Scale "in-place"
07:12 - Eliminate redundant indexes
07:44 - Optimize server parameters
09:52 - Improve AI apps with Postgres Flexible Server
11:40 - Code behind queries using PG Admin
12:31 - Scale workloads
13:36 - Wrap up
► Link References
Get started at https://aka.ms/azurepostgresblog
Access code at https://aka.ms/AzurePostgresAI
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