AWS Cloud Financial Management

Optimizing resource efficiency with AWS Compute Optimizer

It’s well known how important it is to learn about strategies for holistic cloud cost optimization, how AWS has improved its cost-optimization recommendation solutions, and how to use those solutions to map capacity to your needs and make better cost-optimization decisions while maintaining high performance.

AWS Compute Optimizer helps you identify the optimal AWS resource configurations, such as Amazon Elastic Compute Cloud (EC2) instance types, Amazon Elastic Block Store (EBS) volume configurations, task sizes of Amazon Elastic Container Service (ECS) services on AWS Fargate, and AWS Lambda function memory sizes, using machine learning to analyze historical utilization metrics. AWS Compute Optimizer provides a set of APIs and a console experience to help you reduce costs and increase workload performance by recommending the optimal AWS resources for your AWS workloads.

To help you getting started check out the following re:Invent session to hear details on new resource types and optimal resource configurations, how you can identify the right resource configurations using historical data, and specific pricing to consider.

💡 Cloud cost optimization: Only paying for what you need

Luis Abud

Luis Abud

Luis oversees the Digital Experience for AWS Billing and Cost Management services. He focuses on enabling finance and business leaders to transform their business with cost transparency, control, forecasting, and optimization. In his previous career, he helped tech and retail companies establish and enhance their digital presence in Latin America.