In modern cloud-native applications, minimizing latency and maximizing performance are essential to providing an optimal user experience, especially in mission-critical environments. When integrating with Azure SQL Database, Azure Active Directory (AAD) authentication offers a secure and scalable solution. In high-traffic environments, the default behavior of acquiring a new AAD token for every connection can create significant bottlenecks, leading to unwanted delays. In this post, we'll explore an effective strategy to reduce this overhead by caching authentication tokens and reusing them, resulting in faster SQL connections and improved overall performance.
Challenge: connection latency and token overhead
Consider a cloud-native application deployed in Azure App Service or Kubernetes (AKS) that needs to query an Azure SQL Database for real-time data....
Updated Oct 03, 2025
Version 1.0
MelaniaNitu
Microsoft
Microsoft