Software Architects choose tools and patterns with an eye toward cost, time, shelf-life, and standard features. Data API builder is not source generation — it's Microsoft's free Data API engine that exposes secure REST & GraphQL endpoints over SQL Server, Postgres, MySQL, and Azure Cosmos DB, whether in Azure, on-premises, or even in AWS or GCP. In this session, we'll discuss security & architecture options, and when to use GraphQL versus REST endpoints.

A session exploring how to optimize Azure Cosmos DB solutions for performance and cost, covering .NET/SDK settings, connection types, indexing strategies, throughput options, Query Execution Metrics, and server-side programming.

For today’s Gen-AI apps, fast performance, instant scalability, and cost-effectiveness are more critical than ever. This session will delve into the importance of these factors when building RAG pattern apps while maintaining low costs. We will explore the capabilities of Azure Cosmos DB and its new vector database capabilities using DiskANN, a technology developed by Microsoft Research. With DiskANN, users can achieve low latency, high-recall vector search at any scale. Combined with Azure Cosmos DB’s unique scale-out architecture and instant autoscale, it provides enormous value with a cost profile unmatched by any vector database in the market today. This allows for the development of large-scale applications that are not only powerful and reliable but also economical. Join us and discover how to architect high accuracy, low latency, and cost-effective RAG pattern applications at any scale using Azure Cosmos DB and DiskANN. Regardless of your role, this session will provide valuable insights into bringing this new generation of applications to your business.