What is Cloud Cost Optimization?

Turkish: Bulut Maliyet Optimizasyonu

Cloud cost optimization reduces waste from idle resources, oversized capacity, and poor pricing choices without harming reliability.

What is Cloud Cost Optimization?

Cloud cost optimization is not just cutting a cloud bill; it is making the business value of cloud spending visible. The goal is to remove waste while preserving performance, reliability, and the capacity to grow.

How Is It Done?

The first step is tagging and cost visibility: without spend by environment, team, product, and customer, decisions are mostly guesses. Then teams look for unused disks, idle VMs, long log retention, and oversized databases.

Auto scaling can adjust capacity based on demand. Serverless functions can reduce idle server cost for certain workloads. In Kubernetes, requests and limits, node types, and cluster autoscaler settings directly affect the bill.

Common Techniques

  • Rightsizing: matching CPU, memory, and disk to real usage
  • Scheduling: shutting down development and test environments outside work hours
  • Reserved or committed usage: discounted purchasing for steady workloads
  • Storage lifecycle: moving older files to cheaper storage tiers
  • Traffic and egress analysis: reducing cross-region data transfer cost

Business Use

Cloud cost optimization requires a regular FinOps rhythm. To avoid monthly bill surprises, teams should combine budget alerts, resource ownership, unit cost metrics, and capacity estimates before major releases.