Hyperscale for Every Workload

Azure SQL Database Hyperscale isn't just for your largest databases. David Pless explores its cloud-native architecture and explains how independently scaling compute, storage, and read capacity helps match resources to your application's needs. Learn how serverless compute, elastic pools, named replicas, snapshot-based backups, and continuous priming support different workload and availability requirements. A biomedical evidence-search demo brings these capabilities together, showing how hybrid vector and keyword search can grow from a small pilot to a large-scale application. The session also covers the security controls you need to configure and validate as you modernize.