Metrics That Matter In FinOps: Co-Create Value With Engineering And Finance Collaborations
FinOps metrics should do more than track spend — they should inspire action. This short guide explores the KPIs that align engineering and finance.
3 Signals From KubeCon Atlanta On Where Kubernetes Is Heading Next
At KubeCon Atlanta 2025, CloudZero’s team saw a clear shift: today’s Kubernetes practitioners are more selective, technical, and focused on real engineering depth. From specialized conversations to a maturing vendor landscape, three signals stood out — pointing to a future where meaningful innovation will demand more rigor, not more noise.
Azure Synapse Explained: Analytics And Business Value
Learn what Azure Synapse Analytics is, how it works, key features, and more.
What Is AWS Step Functions? A Complete Guide
Discover why AWS Step Functions is the choice for modern teams building reliable, serverless workflows.
AI And Sustainability: Measuring The Impact Of The Generative AI Boom
AI's energy bills are exploding. So is its carbon footprint. Here's how to fix both (without sacrificing innovation) with AI and sustainability expectations.
AWS Fargate Alternatives: Comparing Serverless Container Options
Explore top AWS Fargate alternatives. Compare GKE, AKS, Tanzu, and more — plus see how CloudZero helps you control and optimize container costs.
Kubernetes For AI: The CTO’s Guide
Most CTOs can't tell which AI models, experiments, or customers drove their Kubernetes spend last month. Here’s how to change that (and more) with Kubernetes for AI — and vice versa.
AWS EMR 101: Architecture, Pricing, And When To Use It
Discover what AWS EMR is, how it works, the benefits and limitations of the service, and when you should use it as part of your big data strategy.
Kubernetes Security Guide: Risks, Strategies, And Tools
Learn what Kubernetes security is, why it matters, and explore the best tools to protect your clusters.
The Anti-Zombie, Battle-Tested Guide To AI FinOps: 10 Insights
On the FinOps Weekly podcast, CloudZero CTO Erik Peterson dismantled conventional AI cost wisdom, warning of “zombie AI experiments,” invisible cost icebergs, and the end of old FinOps thinking.