Sravan Gogana

Sravan Gogana is a Senior Cloud Support Database Engineer at Amazon Web Services (AWS) with extensive expertise in Microsoft SQL Server architecture and administration. With over 13 years of experience in database engineering, Sravan specialize in Amazon RDS for SQL Server and MS SQL Server architecture. As a SQL Server expert, I excel in implementing and troubleshooting complex replication scenarios, conducting in-depth performance analysis, and optimizing SQL workloads. Sravan core strengths include SQL Server performance tuning, query optimization, database design, and providing architectural recommendations for high-performance, scalable SQL Server environments. I help customers successfully migrate their on-premises SQL Server workloads to AWS, optimize their database performance, and implement best practices for their mission-critical SQL Server deployments. With deep technical knowledge in SQL Server internals, Sravan provide strategic solutions that enable customers to maximize their database performance and reliability in the AWS Cloud.

Sravan Gogana's Sessions

From Metrics to Action: Data-Driven Amazon RDS SQL Server Performance TuningSQLBits 2025

Unlock the full potential of your Amazon RDS SQL Server instance with advanced performance optimization techniques. This comprehensive session delves into sophisticated monitoring techniques designed to identify and resolve hidden performance bottlenecks, ensuring your database operates at peak efficiency. Don't let undetected performance issues hold your systems back. Join us to master the art of RDS SQL Server performance optimization and stay ahead of the curve. Empower yourself with the skills to keep your database running at its absolute best, supporting your applications and your business with unparalleled efficiency.

AI-Powered SQL Server: Transforming Database Management with AWS Kiro and MCPSQLBits 2026

Discover how AWS Kiro and Model Context Protocol (MCP) servers are transforming SQL Server management. Learn how AI-powered automation and natural language commands can simplify routine tasks, optimise queries, analyse schemas, and improve performance helping database professionals work faster, smarter, and more efficiently.

Empowering SQL Server Professionals with Kiro and MCP: AI-Assisted Database Development on AWSSQLBits 2026

AWS has introduced Kiro, an AI-powered assistant, and Model Context Protocol (MCP) servers to transform how SQL Server professionals manage critical database systems. These open-source tools enable AI-assisted development through local CLI integration, allowing professionals to automate workflows, optimize query performance, and troubleshoot complex issues more efficiently. By leveraging AWS's scalable infrastructure with intelligent automation, Kiro and MCP help database professionals accelerate application development from prototype to production while maintaining enterprise-grade reliability.

Unlock Peak Performance: Mastering RDS SQL Server Optimisation, Migrations and UpgradesSQLBits 2026

Learn advanced techniques to monitor and optimize Amazon RDS SQL Server performance. Discover how to use CloudWatch Database Insights and query execution plans to identify bottlenecks, troubleshoot inefficient queries, and resolve critical performance gaps. Explore best practices for migrations, upgrades, and uncommon performance issues to keep your RDS instances running at peak efficiency.

Unlock Peak Performance: Mastering RDS SQL Server Optimization, Migrations & UpgradesSQLBits 2026

This session reveals advanced monitoring techniques that uncover hidden performance issues and drive effective tuning strategies. You'll learn how to use Database Insights, and query execution plans to pinpoint resource contention, inefficient queries, and critical performance gaps following with migration and upgrade strategies/best practices.