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Results for 'Cloud Cost Optimization' 561-570 of 710 results

Webinar Recap: Building The Finance Function For The Future

Women finance leaders from CloudZero, Campfire, and Preql gathered for a webinar to talk about AI cost clarity, connecting spend to outcomes & forecast confidence.

What Is Spot Instance Advisor? A Beginner-Friendly Guide

Spot Instance Advisor helps you find the best Spot Instances for your workload, at the right price, and with the lowest interruption rate. Here's how it works.

The Best Engineering OKRs: 5 Real Examples That Get Results

These examples of engineering OKRs give your team clear, measurable objectives on a group and an individual level.

Webinar recap: FinOps In The AI Era — A Critical Recalibration

CloudZero and Benchmarkit sat down for a webinar to talk about findings from a new survey on FinOps in the AI Era. Here are the top takeaways.

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.

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.