Attinder Pal Singh
Product Manager - Azure SQL Database
New Delhi, India
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I am a Product Manager for Azure SQL Database at Microsoft, my current focus is on the Hyperscale tier, guiding our technical vision and unblocking our customers by building new features and capabilities on Azure SQL platform. With 13+ years of experience in database technologies, I’ve navigated through roles in support, field, and engineering, accumulating a wealth of expertise and have optimized many business-critical solutions.
Connect with me:
• LinkedIn: Attinder Pal Singh - https://www.linkedin.com/in/attinder-pal-singh-2a7b3120
• Twitter: @attinder0001
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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
Product Manager - Azure SQL Database
New Delhi, India
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