AWS Cloud Financial Management

Category: Compute

Optimizing cost for building AI models with Amazon EC2 and SageMaker AI

Amazon EC2 and SageMaker AI are two of the foundational AWS services for Generative AI. Amazon EC2 provides the scalable computing power needed for training and inference, while SageMaker AI offers built-in tools for model development, deployment, and optimization. Cost optimization is crucial since Generative AI workloads require high-performance accelerators (GPU, Trainium, or Inferentia) and extensive processing, which can become expensive without efficient resource management. By leveraging the below cost optimization strategies, you can reduce costs while maintaining performance and scalability.

Amazon case study for ABC

Automating custom rates at scale: an Amazon case study with AWS Billing Conductor

In this blog post, we discuss how Amazon used AWS Billing Conductor to build a custom solution, enabling them to view their AWS cost at internal rates in AWS Cost Explorer and AWS Cost and Usage Report (CUR).

2024 re:Invent CFM recap

2024 re:Invent announcement recap for AWS Cloud Financial Management services

With great pleasure, I am happy to share with you the ten features recently added to the AWS Cloud Financial Management portfolio of services. We hope that these ten new features will help accomplish your daily FinOps tasks more effectively. These new features are like our holiday gifts to you. Enjoy your holiday and these special gifts from us. We look forward to hearing about your experiences with them.

idle recommendation in ACO

Announcing Idle Recommendations in AWS Compute Optimizer

Starting today, AWS Compute Optimizer will give recommendations to clean up idle resources. AWS Compute Optimizer historically has been focused on providing rightsizing recommendations to save cost and improve performance. To help you drive further cost savings, we are expanding the focus to now include detecting and recommending cleanup of idle recommendations. With this launch, you will get recommendations for idle EBS volumes, ECS tasks on running on Fargate, EC2 instances, EC2 Auto Scaling groups, and RDS instances.

New Cloud Financial Management Digital Training Courses

We’re excited to announce the release of AWS Cloud Financial Management digital training courses. These are four 1-hour courses that will get you familiarized with key AWS solutions to solve your daily FinOps needs, and equip you with cost optimization techniques for commonly used AWS services.

How Infor saved $2 million with effective CFM strategies

As many organizations are looking to achieve financial success through effective Cloud Financial Management (CFM) strategies, Infor, the global leading software provider, has been experimenting with different practices, from cost reporting to optimization. In this blog post, we will share their success and learning that helped achieve over $2 million in savings through automation and modernization initiatives.

automatic tagging for Service Catalog resources

Automating tagging for resources created by AWS Service Catalog

This blog shows how you can automatically propagate account-level tags to AWS resources created by AWS Service Catalog. Service Catalog allows sharing of portfolios across AWS accounts and provides a TagOption library to manage tags on provisioned AWS resources. Resource tagging varies by account, so it is not part of the portfolio product configurations. We designed the solution to reduce the burden on users to a minimum, while also adopting cloud best practices such as infrastructure automation.

Improve cost visibility of Amazon EKS with AWS Split Cost Allocation Data

We’re excited to announce granular cost visibility for Amazon Elastic Kubernetes Service (Amazon EKS) in the AWS Cost and Usage Reports (CUR), enabling you to analyze, optimize, and chargeback cost and usage for your Kubernetes applications. With AWS Split Cost Allocation Data for Amazon EKS, customers can now allocate application costs to individual business units […]

Optimize costs by automating AWS Compute Optimizer recommendations

Optimize costs by automating AWS Compute Optimizer recommendations

AWS Compute Optimizer is a powerful tool that offers recommendations to optimize your Amazon EC2 instances, helping you identify suitable instance types, reduce underutilized resources, and enhance performance. In this blog post, we will explore AWS Compute Optimizer and demonstrate how to automatically apply its recommendations, resulting in significant cost savings and improved resource efficiency.