Category: Compute

In the 3rd part of our 4-part Starting your Cloud Financial Management Journey series, we’ll cover the things you should consider and the tools you can use to forecast and plan for your existing or net-new workloads.

Cloud cost optimization is often implemented as a reactive activity, despite being intrinsically proactive by nature. By implementing these 5 cloud cost optimization best practices, you can ensure proactivity as you maximize realized business value and take advantage of the flexibility, agility, and scalability of cloud technologies and services.

In this blog, we’ll share tools you can setup, pricing models you can take advantage of, and services you can use that will help you identify cost optimization opportunities in your workloads.

One of the most common customer requests we receive is related to supporting containerized applications. Compute Optimizer now has recommendations to help you identify optimal CPU and memory configurations for Amazon Elastic Container Service (Amazon ECS) services running on AWS Fargate.

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.

Learn about Singular’s AWS Graviton adoption process including their mental model, project execution, and measurement of success, resulting in an improved price-to-performance ratio by 35%.

Use multiple overlapping Savings Plans to reduce commitment risk, increase discount coverage, and relieve the burden of long-range usage predictions.

AWS pricing strategies offer you the flexibility to choose the most effective way to manage your costs and still keep the performance and capacity you require. Learn about Savings Plans and Reserved Instances and how you can decide what is right for your business.

After helping organizations from multiple industries and geographies succeed on their cloud adoption journey, we identified a direct correlation between the lack of mechanisms for cost management with behind plan and stalled migrations. In general, when customers are forced to slow down their migration, there is a significant impact on their expected return of investment […]

When helping customers build TCO models for their cloud migration, we often come across customer analysts who say their financial models show that moving to the cloud is more expensive than staying on premises. What we’ve found is that customers often exclude key inputs that lead to inaccurate cost comparison models.