Attinder Pal Singh
Senior Product Manager - Data Platform - SQL Server
Chandigarh, India
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Attinder Pal Singh is a Senior Product Manager for SQL Server at Microsoft, currently leading the technical vision for SQL Server on Linux. With over 13 years of experience in database technologies, Attinder has held diverse roles across support, field, and engineering, enabling him to build deep expertise in optimizing business-critical solutions. Prior to his current role, he was a Product Manager for Azure SQL Database, where he contributed to shaping cloud-native database capabilities. Today, he is focused on empowering customers by delivering new features and capabilities for SQL Server on Linux, helping unblock adoption and drive innovation across platforms.
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Achieving Unprecedented Scalability and Agility in Modern Applications with Azure SQL DB Hyperscale
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.
Achieving Unprecedented Scalability and Agility in Modern Applications with Azure SQL DB Hyperscale
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.
Attinder Pal Singh
Senior Product Manager - Data Platform - SQL Server
Chandigarh, India
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