How To Conduct A Cloud Cost Analysis: A Step-By-Step Framework
A cloud cost analysis helps you find answers to important questions involving cloud spend. Here are three tips for performing a successful analysis.
Oracle Cloud Pricing: A Comprehensive Guide To Oracle Cloud Costs
Need to optimize Oracle Cloud costs, but not sure how OCI pricing works? CloudZero brings you a comprehensive guide.
Gemini Cost Per API Call in 2026: What You’ll Actually Pay (And How to Control It)
More SaaS teams are asking, “What is our Gemini cost per API call?” Here’s why, and how that is improving their AI ROI (so you can, too!)
From Trough to Traction: 10 Real-World Lessons in Cloud and AI Efficiency
From the “trough of lost innovation” to the rise of AI-driven spend, Erik Peterson breaks down 10 real-world lessons that show why cloud and AI efficiency is now a core engineering discipline — not a finance afterthought.
AI Anomaly Detection: Catch AI Cost Surprises Before They Kill Margins
AI anomaly detection gives teams real-time visibility into when AI usage and costs deviate from normal behavior, before those changes impact margins.
AWS Vs. OCI: Which Cloud Services Provider Is Best?
AWS or OCI? This guide compares AWS vs. OCI across compute, storage, databases, networking, security, pricing, and cost control with CloudZero.
Your Cloud Economics Pulse For January 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.
Budget Variance In The Cloud Era: Here’s How To Turn Surprises Into Business Value
In SaaS and cloud environments, not every budget variance requires optimization, just as not every cost spike is a cause for concern. Here’s why.
AWS API Gateway Pricing Simplified: A 2026 Guide For Cost Savings
API Gateway pricing isn’t expensive. Unmanaged API traffic is. Learn what drives costs and how to keep API spend under control.
How Kubernetes Node Affinity Works (And Why It Matters for K8s Cost Control)
Node affinity is the most common (and the most misunderstood) type of Kubernetes affinity — and it works alongside mechanisms like taints and tolerations to give teams precise control over pod placement. Here's why it matters and how to avoid the most common mistakes.