Practice Vs. Performance: Two Reports On The State Of FinOps
Two surveys, two vantage points, one uncomfortable conclusion about FinOps in 2026.
Inference Economics: What It Is And Why It Matters Now
Inference economics is the discipline of understanding, attributing, and optimizing the ongoing cost of running AI in production. Here's why it matters now.
What Is FinOps And How To Do It Right: A Quick Guide [Updated For 2026]
Discover what FinOps is, how it differs from DevOps, and how practicing FinOps can save time and money.
What Is Lift And Shift? Is It Right For You?
There's more to lift and shift than meets the eye. For example, should you expect cost savings or hidden costs? Here is what you need to know.
On-Demand Vs. Spot Instances: What’s The Difference?
There's more to Spot Instances than just the up to 90% discount over On-Demand Instance pricing. Here’s more about that and other differences between On-Demand and Spot Instances.
Choosing The Best AWS Pricing Model: A Complete Look At AWS Pricing (With Examples)
Here is how AWS pricing works, including models, cost-saving strategies, and cost factors that determine how much an Amazon Web Services product or service costs.
Kubernetes Namespaces: What They Are, How They Work, And What They Don’t Solve
Kubernetes namespaces are excellent for managing different teams, services, and applications within one cluster. But not on its own. Read on to learn why.
AWS Data Exchange Guide: Use Cases, Pros, Cons, And Pricing
Learn how AWS Data Exchange delivers third-party data into AWS, how pricing works, and what you should know about managing data costs.
Kubernetes Vs. OpenStack: How They Differ, How They Work Together, And When To Use Each
So, are OpenStack and Kubernetes competitors, or can you deploy them together? Find out in this snackable comparison.
Your Cloud Economics Pulse For February 2026
Welcome to your monthly cloud economics pulse check, in which we analyze cloud and AI spend across different dimensions including provider, service, and other categories.