The Next FinOps Frontier: AI, SaaS, and Sustainability

In this episode of FinOps in Full Bloom, Bindu Sharma shares how Teradata evolved from reactive reporting to automated FinOps at scale - while driving global sustainability conversations in parallel.

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. 

Tagging, Tenacity, and the Power of Persistence

Melissa Canfield shares how Best Egg tackled tagging, ownership, and culture change - building momentum through persistence, dashboards, and a team-first FinOps mindset.

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.

AWS Elastic Beanstalk 101: A Beginner’s Guide To App Deployment On AWS

What should you know before using AWS Elastic Beanstalk? Explore how it works, when to use it, common pitfalls, pricing, and why cost visibility matters.

How To Design AI-Native SaaS Architecture That Scales Without Killing Your Margins

With an AI-native SaaS architecture, AI is woven into the core logic of the service. Learn the process and how to protect your margins at the architectural level.

ROI in the AI Era: A Critical Recalibration

If your cloud cost desk was flipped by AI, you’re not alone. We asked 475 organizational leaders about their own experience, and we share our learnings in this new survey report.

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.

AI Vendor Lock-In: How AI Is Creating A New Dependency Problem

Building AI from scratch is costly and slow. Plugging into third-party AI platforms is faster, but can also lead to AI vendor lock-in. Here’s how you escape that without slowing innovation.