Microsoft Developer presents an in-depth overview of the upcoming enhancement to Azure SQL Hyperscale, where Anna Hoffman discusses increasing geo-replicas from one to four and demonstrates how to leverage this new feature.

Multiple geo-replicas for Azure SQL Hyperscale | Data Exposed

Presenter: Anna Hoffman, Microsoft Developer

Introduction

Azure SQL Hyperscale is set to receive a significant update, boosting its geo-replication capabilities by increasing the maximum number of supported geo-replicas from one to four. This enhancement, arriving as a public preview in late summer 2025, aligns Hyperscale with the rest of the Azure SQL Database family regarding high availability and disaster recovery features.

Hyperscale Secondary Replicas

• What’s new?
  • Previously, Azure SQL Hyperscale only supported a single geo-replica.
  • After the update, users can configure up to four geo-replicas for increased redundancy and scalability.
  • This change enables organizations to better design for business continuity and global read workloads.
• Benefits:
  • Improved failover options
  • Enhanced read-scale scenarios
  • Easier compliance with disaster recovery requirements

Demo

The video includes a step-by-step demonstration on how to set up and manage secondary geo-replicas within Azure SQL Hyperscale. Topics covered include:

• Creating and configuring secondary replicas
• Monitoring replica status
• Performing failover operations
• Best practices for replica deployment

Getting Started

• To get started with Azure SQL Hyperscale geo-replicas:
  1. Review the supporting documentation
  2. Access the feature in Azure once it launches in public preview (late Summer 2025)
  3. Implement secondary replicas as required for business needs

More Resources

• AzureSQL Twitter
• Data Exposed on YouTube
• Microsoft Azure SQL YouTube Channel
• Microsoft SQL Server YouTube Channel
• Microsoft Developer YouTube Channel

Tags

Azure SQL Hyperscale, geo-replication, secondary replicas, public preview, Azure SQL Database, cloud scalability, data replication, high availability, disaster recovery

For detailed chapters and demonstrations, refer to the video links and timestamps provided in the original content.