// Definition
Cloud cost optimization is the systematic process of identifying and eliminating cloud waste, right-sizing resources to match actual demand, and selecting the most cost-effective purchasing models — while maintaining the performance and reliability requirements of running workloads. It is a continuous practice, not a one-time project.
// Why It Matters
The three highest-impact levers, in order of effort-to-savings ratio: (1) Eliminate idle and unused resources — immediate savings, minimal risk, no architectural changes required. (2) Purchase Reserved Instances or Savings Plans for stable workloads — 30–66% savings on covered spend with low implementation effort. (3) Right-size overprovisioned instances — 20–40% compute savings, requires utilization analysis and testing.
Cloud cost optimization differs from FinOps in scope: optimization covers the technical tactics; FinOps is the broader operational framework — allocation, accountability, governance, and the organizational model that sustains optimization over time. You can optimize without FinOps; you can't sustain optimization at scale without it. See our 18 AWS optimization strategies for the complete tactical playbook.
// In Practice
Starting point checklist: Enable Cost Explorer and billing alerts (free, 10 minutes). Run AWS Trusted Advisor or Azure Advisor to identify idle resources (free). Review Compute Optimizer recommendations for top 10 most expensive instances. Purchase Savings Plans for compute that's been running 90%+ of the time for the past 60 days.