Your job as a Chief Financial Officer (CFO) carries a lot of weight, regardless of the size and industry of your organization. You are also directly accountable for ensuring your company’s financial health by providing accurate, up-to-date, and actionable insights. If your revenue comes from recurring subscriptions, SaaS metrics form the backbone of your business. They measure your profitability and growth, provide financial reporting and forecasting, and provide guidance on maximizing ROI.

There’s no doubt about it: The cloud cost landscape changes quickly. It seems like every month brings new updates from the cloud providers and several new resources you can use to master FinOps within your organization. Here are the top cloud cost news headlines you may have missed from February 2025: Read on for the details.

The FinOps Foundation just released the sixth installment of its annual State of FinOps report. The 2025 installment contains a few key themes: In this blog, we give a little more detail on each, highlighting key statistics and takeaways from the State of FinOps 2025.

The Snowflake data cloud provides storage, reporting, and analytics for organizations that rely on data to run their day-to-day operations. Since its launch from stealth mode in 2014, Snowflake has become a top data warehouse solution for its manageability, superior scalability, always-on data security, advanced analytics, and robust accessibility. But Snowflake isn’t perfect.

Whether you’re a startup looking for simplicity or an enterprise needing high-performance scalability, this guide breaks down the key differences between DigitalOcean vs. AWS — pricing, features, use cases, and more. We’ll start with a quick overview of each provider. And, right away, you’ll notice their different focus areas, target customers, and what makes each platform unique.

"Why buy a cloud cost optimization solution when I can just build it myself?" Here at Pepperdata, we often hear this question. Many of our prospects and customers have gone to great lengths implementing various optimization strategies and solutions to mitigate the cost of their cloud or on-prem data centers. These homegrown solutions might include monitoring tools, manual or automated instance rightsizing initiatives, enabling autoscaling, and application tuning.

"Why buy a cloud cost optimization solution when I can just build it myself?" Here at Pepperdata, we often hear this question. Many of our prospects and customers have gone to great lengths implementing various optimization strategies and solutions to mitigate the cost of their cloud or on-prem data centers. These homegrown solutions might include monitoring tools, manual or automated instance rightsizing initiatives, enabling autoscaling, and application tuning.

AWS cost monitoring tools enable you to track your resource consumption and costs associated with running operations on the AWS platform. These tools vary in capabilities but typically offer customizable reporting, dashboarding, data analytics, built-in automation, and cost alerting. Keep in mind that AWS monitoring differs from AWS management in that monitoring provides usage and cost data without necessarily offering optimization tools.

Amazon Web Service offers cloud computing to organizations of all sizes. It provides low-cost cloud storage, nearly unlimited compute resources, and secure remote computing services. Still, many users find AWS confusing. Companies often struggle to understand AWS billing. Aligning cloud spend to actual operational activities for cost allocation is next to impossible. AWS also limits the amount of compute resources you can use based on your location.

Over the past few years, Kubernetes (K8s) has become the preferred method of orchestrating containers and microservices. Its self-healing, high scalability, and open-source nature make it appealing to a wide range of users. However, deploying, running, and scaling containerized applications and microservices with Kubernetes can be challenging. The Kubernetes community keeps growing, but there still aren’t that many experienced K8s engineers.