Kubernetes Cost Optimization: The Phase 1 Cleanup Most Teams Skip (30–50% Savings)

Kubernetes clusters can quietly bleed money through structural inefficiencies. The first phase of optimization involves cleaning up wasteful practices that most teams neglect. Rising infrastructure costs are common, with 49% of organizations reporting an increase. Before turning to spot instances, Karpenter, or multi-year discounts, a thorough cleanup is essential. This cleanup can recover 30-50% of wasted spend with zero architectural changes and no additional tooling costs.

Kubernetes doesn't waste money like a forgotten EC2 instance. Instead, it reserves resources for every deployed pod, even if they aren't used, fails to delete underlying volumes when PersistentVolumeClaims are removed, and keeps billing for namespaces that have been abandoned. These issues aren't flagged by alarms; they manifest as unexpectedly high bills without a clear explanation.

The key to Phase 1 cleanup is properly setting resource requests and limits. Instead of arbitrarily assigning higher values, teams should analyze actual usage over 2-4 weeks. The Vertical Pod Autoscaler (VPA) can automatically recommend optimal requests based on this data, preventing over-provisioning of nodes. Orphaned PersistentVolumes, which aren't always deleted when their claims are, can also be reclaimed, saving on cloud disk costs. Ephemeral namespaces for temporary workloads need a hard expiry to avoid unnecessary billing.

Tuning the cluster autoscaler's minimum capacity is also crucial, rather than focusing solely on the maximum. This ensures you're only paying for the necessary capacity at any given time. Consistent cost allocation tagging is vital for accurate optimization later on. Labels for team, application, environment, and cost center should be enforced through admission control policies.

While Phase 1 doesn't require specialized cost-management tools, setting up usage tracking with kubectl top, VPA in recommendation mode, and scheduled cleanup jobs provides valuable insights. Later, tools like Prometheus, Grafana, and Kubecost (or OpenCost) can help visualize resource usage over time and allocate costs to teams and applications for more effective chargeback and showback mechanisms.