Title

AWS re:Invent 2022 - SQL Server on AWS: Run with the best (ENT306)

Summary

AWS provides options for running SQL Server on EC2 (self-hosted) and RDS (managed).
SQL Server on EC2 offers full control over the server, supports all SQL Server features, and allows for BYOL licensing.
RDS for SQL Server manages operational requirements and offers managed high availability.
RDS Custom allows for custom configurations while still providing operational capabilities.
AWS offers various instance types and storage options to optimize SQL Server performance.
Migration services like DMS, Snowball Edge, and MGN facilitate moving SQL Servers to AWS.
AWS provides tools for deployment, management, and performance tuning of SQL Server.
Automated backups, manual snapshots, and AWS Backup service ensure data durability.
RDS supports Multi-AZ deployments, read replicas, and cross-region read replicas for high availability and disaster recovery.
Babelfish for Aurora PostgreSQL allows running SQL Server applications on PostgreSQL with minimal changes.

AWS's flexibility in SQL Server deployment allows for a tailored approach to match specific workload requirements.
The ability to bring your own license (BYOL) can result in significant cost savings for organizations with existing SQL Server licenses.
Automated migration tools reduce the complexity and risk associated with moving databases to the cloud.
AWS's commitment to providing a wide range of compute and storage options ensures that SQL Server can be optimized for performance and cost.
The introduction of Babelfish for Aurora PostgreSQL is a strategic move by AWS to encourage migration to open-source databases while minimizing application changes.
AWS's focus on high availability and disaster recovery features, such as Multi-AZ deployments and cross-region read replicas, highlights the importance of uptime and data protection in cloud environments.
The case study of Rovio (Angry Birds) demonstrates the scalability and operational benefits of running SQL Server on AWS RDS in a real-world scenario.
AWS's continuous innovation in database services, as evidenced by the introduction of new features and services like Babelfish, indicates a strong commitment to supporting a variety of database workloads and modernization efforts.