Category: AWS Compute Optimizer

The Microsoft on AWS Cost Optimization (MACO) recommendation guide is a collection of cost optimization strategies designed to help you optimize both new and existing Microsoft workloads on Amazon Web Services (AWS). It offers foundational training, cost optimization techniques, and reference architectures to build and automate cost-effective, high-performing workloads that meet business objectives. The MACO […]

In this blog post, I will show you how to use the myApplications dashboard in the AWS Management Console. Using a sample .NET application, I will demonstrate how you can manage costs, monitor, and optimize your Microsoft workloads with this new dashboard. Introduction Assume you are a web application owner and it’s your team’s responsibility […]

In this blog post, we will show how to reduce the administrative burden of enabling Amazon CloudWatch memory metric monitoring on Windows Server EC2 instances using AWS Systems Manager automation. Once enabled, we will show how memory monitoring benefits downstream services like AWS Compute Optimizer to provide accurate cost savings recommendations. Monitoring is an important […]

In this blog post, we explore a new capability of AWS Compute Optimizer that generates Microsoft SQL Server licensing recommendations. AWS Compute Optimizer has the capability to provide customers running Microsoft SQL Server on Amazon Elastic Compute Cloud (Amazon EC2) with licensing cost optimization recommendations, which can, result in significant SQL Server licensing cost savings. […]

Amazon Web Services (AWS) recently added a new feature to AWS Compute Optimizer that detects Microsoft SQL Server workloads running on Amazon Elastic Compute Cloud (Amazon EC2) using machine learning. In this blog post, I will explain how this new feature helps you identify and optimize your SQL Server workloads. Addressing challenges in rightsizing SQL Server […]