This session explores the concept of Azure SQL DB Hyperscale scalability, emphasizing distributed architecture's role in achieving faster scale of compute/storage. The discussion further delves into named replicas' utility in managing a variety of read workloads within modern application architectures, highlighting their ability to offer compute size flexibility, user access isolation, and independent monitoring via Database Watcher monitoring solution. Additionally, the session examines the advantages of leveraging serverless compute to enhance price-performance ratios and adaptability by enabling the mixing and matching of compute types based on application workload requirements. Through various use cases, the session demonstrates hyperscale's efficacy for workloads requiring independent scaling, handling unpredictable demands, and offloading read workloads to upto 30 named replicas. Finally, the session outlines a roadmap for future developments in Azure SQL DB Hyperscale.