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 ► Unfamiliar with Microsoft Mechanics? As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft.

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