What Does Kubernetes On-Premise Really Cost in 2026? A Line-by-Line Comparison With EKS, GKE and AKS

Running Kubernetes on-premise involves far more than server purchases, including hardware amortization, colocation, power, redundant networking and storage, software subscriptions, disaster recovery, refresh cycles, and 2–5 platform or SRE engineers for continuous operations. Managed Kubernetes services such as Amazon EKS, Google GKE, and Azure AKS charge roughly $0.10 per cluster-hour for their control planes, but their primary costs come from compute, storage, load balancers, NAT gateways, data transfer, and operational staff. The comparison depends chiefly on utilization and workload characteristics: on-premise infrastructure may become less expensive for stable workloads operating above roughly 60–70% utilization for several years, particularly for egress-heavy, GPU-intensive, or data-residency-constrained workloads, while cloud services generally favor bursty, short-lived, geographically distributed, and development workloads because capacity can be scaled down. The discussion cautions against comparing cloud list prices only with server costs, noting that both approaches can incur substantial waste through idle infrastructure, overprovisioning, or unmanaged cloud resources. Hybrid strategies can place predictable workloads on owned or bare-metal capacity while retaining cloud elasticity, although maintaining separate tools and operating models can add complexity. It recommends reducing costs in either environment through standardized resource sizing, automated shutdown of nonproduction systems, ephemeral preview environments, autoscaling, cost visibility tools, and unified deployment and access-control workflows; Qovery is presented as a platform intended to provide such workflows across cloud and on-premise Kubernetes environments.

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