Cloud Cost Optimization Principles That Still Matter
🔍 This article outlines durable principles for cloud cost optimization and explains why ongoing cost management remains essential as workloads scale. It highlights how AI workloads add unpredictability, iteration-driven spikes, and specialized infrastructure needs that amplify cost risk. The post recommends core practices—visibility, governance guardrails, rightsizing, and continuous review—while distinguishing cost management from action-oriented cost optimization. It concludes by urging measurement of value alongside cost and pointing to Azure guidance such as FinOps and AI ROI resources.
