As Kubernetes adoption matures, the focus is shifting from "how do we run it?" to "how much does it cost?". Many teams find that their cloud bills spiral out of control due to poor visibility and over-provisioning. At Cloudepok, we've helped clients slash their EKS and GKE costs by up to 45% using a systematic FinOps approach.
Strategy 1: Right-Sizing your Workloads
The most common cause of high costs is setting resource requests based on "gut feeling" rather than actual usage. We recommend using the Vertical Pod Autoscaler (VPA) in recommendation mode to identify the gap between what you ask for and what you actually use.
Strategy 2: Mastering Spot Instances
Spot instances (or Preemptible VMs) offer up to 70-90% savings compared to on-demand instances. The key is handling interruptions gracefully. We implement tools like Karpenter to intelligently provision diversified Spot pools, ensuring that non-critical and stateless workloads run on the cheapest possible compute.
Strategy 3: Cluster Autoscaling (Reactive vs. Proactive)
Standard cluster autoscalers wait for pods to go into a Pending state before adding nodes.
This causes latency. We implement Overprovisioning (pause pods) or predictive
scaling to ensure nodes are ready before they are needed, allowing for tighter resource limits without
sacrificing reliability.
Did you know? "Karpenter" on AWS can simplify your node group management while reducing the time-to-scale from minutes to seconds.
Strategy 4: Cleaning Up "Zombie" Resources
Orphaned Load Balancers, unattached EBS volumes, and unused persistent volumes can add hundreds of dollars to your monthly bill. We implement automated cleanup scripts and Kube-Janitor to delete temporary resources in development environments after hours.
Strategy 5: Multi-Tenancy & Resource Quotas
Instead of running 10 small clusters, run one large cluster with strong namespace isolation. This reduces the overhead of control planes and improves bin-packing efficiency. Use Resource Quotas to prevent a single team from exhausting cluster resources.
Strategy 6: Visibility with Kubecost
You cannot optimize what you do not see. We integrate Kubecost or OpenCost to provide real-time visibility into cost per namespace, per label, and even per individual pod. This data allows for accurate chargebacks to internal departments.
Summary
Kubernetes cost optimization is a journey, not a destination. By implementing these strategies, our clients have redirected thousands of dollars from cloud compute back into core product development. Efficiency is a feature — treat it like one.