AWS Cloud Financial Management

Ryan Doty

Author: Ryan Doty

Ryan Doty is a Solutions Architect at AWS, based out of New York. He helps enterprise customers in the Northeast U.S. accelerate their adoption of the AWS Cloud by providing architectural guidelines to design innovative and scalable solutions. Coming from a software development and sales engineering background, the possibilities that the cloud can bring to the world excite him. Outside of work, he loves to play computer games, and support Liverpool FC.

Graviton 2 and GP3 with Amazon OpenSearch Service

Better Together – Graviton 2 and GP3 with Amazon OpenSearch Service

There are many benefits to running your Amazon OpenSearch Service workloads on Graviton2 based instances coupled with the gp3 EBS volume type. If you’re currently maintaining an Amazon OpenSearch Service workload, these changes are easy to make and can provide ~10% in savings with minimal effort.

feature_how-to_optimize x86

Optimize your x86-based Amazon EC2 Workloads

This post will show how you can optimize your x86 Amazon Elastic Cloud Compute workloads with no architectural changes. We will focus on improving price-to-performance without introducing engineering overhead, large planning cycles and significant time investment. The optimizations mentioned today require no application engineering and can be done quickly. The focal point of this post is showing the benefits of running your x86 EC2 workloads on AMD based EC2 instances to achieve at least 10% cost savings.

How to create and enforce your tagging strategy for more granular cost visibility

In this post, we’ll show you what tools you can use, and how you can use them to define, implement, and enforce a tagging strategy that improves your organization’s cost awareness using AWS Cost Explorer, AWS Organizations, AWS Tag Editor, and AWS Config.

Optimize AWS costs without architectural changes or engineering overhead

Learn how you can optimize your current AWS footprint with little to no architectural changes. Focus on improving price-to-performance without introducing engineering overhead, large planning cycles, and significant time investment.