Optimization for Amazon RDS Optimize Your AWS Relational Database Service (RDS) Instances

AWS RDS Selection & Sizing is Challenging

Amazon’s RDS simplifies the usage of traditional relational database services by bundling the database software and underlying compute instance into a single, comprehensive service.

Determining what RDS instance type and size to use for a given database workload can be a challenge. Databases often have complex usage patterns across CPU, memory and I/O, and may have cyclical or sporadic loads, making them difficult to optimize. Simply looking for “whitespace” or underutilized resources can be risky.

Amazon Relational Database Service Optimization

Amazon RDS Optimization Requires Deep Workload & Catalog Understanding

Densify learns the patterns of RDS utilization across all resource types, providing a detailed characterization of the database workloads. By employing a multidimensional catalog, Densify also understands what instance families and sizes are available for each database type in each region, enabling precise alignment of instance types with resource demands.

Densify’s Cloud-Learning Optimization Engine helps you leverage Amazon RDS more effectively

Rein In Unnecessary RDS Expenses

Even though there are often fewer RDS instances than other AWS services, they can be quite expensive and are often responsible for a large portion of the monthly bill. Densify automatically identifies opportunities to optimize RDS instances so you don’t have to pay for expensive resources that you don’t need.