However because AWS allows you to change HW resources at will, you can migrate an unoptimized DB to AWS, optimize later, and re-evaluate your needs after the optimization step has been completed. The first step in any relational DB rightsizing project should be to optimize the schema, stored procedures, triggers, indices, and SQL that is used to access the DB. There aren’t any short-cuts “ yet” or a magic wand for arriving at the best AWS RDS instance type or configuration for your application. Often with the wide spectrum of choices available, the dilemma is where do you start? The answer to this is going to depend on whether you may be migrating your existing database to RDS (and that we understand the application and database characteristics), building from scratch, trying to improve your application performance and/or lower cost. The key to right-sizing is to understand precisely your organization’s usage needs and patterns and know how to take advantage of the elasticity of the AWS Cloud to respond to those needs. R ight-Sizing does require some level of effort ranging from understanding workloads and usage patterns (sawtooth or bursty, predictable, steady, etc.), storage requirements, redundancy and failover, multi-az deployments, cost, choosing between RDS vs Aurora, reads vs writes, and the list goes on… It’s also the process of looking at deployed instances and identifying opportunities to eliminate or downsize without compromising capacity or other requirements, which results in lower costs. Right sizing is the process of matching instance types and sizes to your workload performance and capacity requirements at the lowest possible cost. Reliable performance, high availability, and security are some of the core principles that RDS is built on. RDS provides us with six database engines to choose from, including Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle Database, and SQL Server. And Why Not? RDS provides a wide spectrum of capabilities we look forward to in a managed relational database solution including, but not limited to dynamic capacity, patching, and backups allowing development teams to iterate faster, focus more on optimizing applications, and not to worry too much about the usual Database Administration tasks you would take on otherwise. RDS also consistently appears among the top AWS offerings based on popularity and usage, often trading the top 3 spots between Amazon EC2 and Amazon S3. Amazon Relational Database Service (Amazon RDS) has been the pioneer in managed Relational Databases in the cloud.

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