"Cloud overspend rarely comes from one spectacular mistake. More often, it grows through small, routine decisions: Dev environments left running over the weekend, instance sizes chosen for peak demand and never revisited, snapshots, volumes, and logs retained long after anyone needs them, Kubernetes requests increased 'just in case,' premium managed services used for workloads that are useful, but not critical."
"Policy as code moves cost guardrails closer to the point where infrastructure is provisioned. Instead of relying only on after-the-fact reviews, platform teams can define acceptable patterns in advance and enforce them in the same workflows where engineers create infrastructure."
"In practice, that can mean requiring owner and environment tags, limiting approved instance sizes, restricting premium service tiers, or enforcing time-to-live (TTL) rules for temporary environments. In Kubernetes, it can also mean requiring sensible CPU and memory requests and limits instead of letting them drift upward without review."
Cloud overspend typically accumulates through numerous small, routine decisions rather than single dramatic mistakes. Common sources include dev environments left running, oversized instances, retained snapshots and logs, and unnecessary premium services. Policy as code addresses this by moving cost controls upstream to the point of infrastructure provisioning, allowing platform teams to enforce acceptable patterns before wasteful decisions become default. This approach complements rather than replaces cost visibility and FinOps reviews. Implementation includes requiring tags, limiting instance sizes, restricting premium tiers, and enforcing time-to-live rules for temporary environments.
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