Cloud architecture decisions directly impact costs, often unexpectedly. Multi-region deployments, premium storage tiers, unfiltered logging, and cross-region data replication can dramatically increase cloud bills. Engineers can achieve 30-50% cost reductions through lifecycle management policies, storage tier optimization, log sampling and filtering, autoscaling with business metrics instead of CPU alone, and reducing unnecessary cross-region replications. Cost optimization should be treated as a non-functional requirement integrated into CI/CD pipelines through pull request cost estimates, policy-as-code checks, and engineering-facing cost dashboards. Real savings come from architectural decisions, not vendor negotiations.
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