Cloud waste
Last updated 2026-06-04
Cloud waste is money spent on cloud resources that produce no business value: over-provisioned instances and databases, idle and orphaned resources, unused storage, and over-requested Kubernetes workloads. It accumulates because provisioning is fast and easy while deprovisioning requires someone to confirm a resource is truly safe to remove, so capacity outlives the workload that justified it. Common examples include compute sized for peak traffic that runs near-empty most of the day, detached block volumes and old snapshots that still bill, idle load balancers, and CPU or memory requests set far above actual usage. Industry surveys consistently estimate wasted cloud spend at roughly a quarter to a third of the total bill, and Kubernetes over-provisioning makes it worse. Most waste is well understood; the hard part is acting on it safely and continuously, at the pace resources change. LevelFour turns identified waste into merge-ready pull requests across cloud and Kubernetes.
Frequently asked questions
- What are the most common types of cloud waste?
- The usual categories are over-provisioned instances and databases sized larger than needed, idle resources that run with little or no traffic, orphaned resources left after a workload is deleted (such as detached volumes, old snapshots, and unused IP addresses), unused storage, and Kubernetes workloads requesting far more CPU or memory than they consume.
- How do you reduce cloud waste without breaking things?
- Reduce waste by continuously measuring real utilization, then rightsizing, scheduling, or removing resources through reviewable changes rather than ad hoc edits. Routing fixes through infrastructure-as-code pull requests keeps each change auditable and reversible, so engineers can confirm a resource is genuinely safe to remove before it is changed in production.
See also
LevelFour automates this across AWS, GCP, Azure, and Kubernetes with automated infrastructure-as-code pull requests.