Kubernetes Cost Optimization: Rightsizing, Spot, and FinOps
Practical ways to cut Kubernetes spend: rightsizing, spot/preemptible nodes, and FinOps practices.
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Practical ways to cut Kubernetes spend: rightsizing, spot/preemptible nodes, and FinOps practices.
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Kubernetes Cost Optimization: Rightsizing, Spot, and FinOps#
Cloud-native cost is a top concern. Here’s how to optimize Kubernetes spend without hurting reliability.
1. Rightsizing Requests and Limits#
Set requests to what you need on average; limits to a safe ceiling. Over-requesting wastes money; under-requesting causes throttling or OOMKills.
resources:
requests:
memory: "256Mi"
cpu: "100m"
limits:
memory: "512Mi"
cpu: "500m"
Use VPA (Vertical Pod Autoscaler) or similar to tune over time.
2. Spot / Preemptible Nodes#
Run batch and fault-tolerant workloads on spot instances. Use node affinity and tolerations so critical workloads stay on on-demand.
3. FinOps Practices#
- Tag namespaces and labels for chargeback and showback.
- Set budgets and alerts so teams see cost before it spikes.
- Review idle resources (unused PVs, load balancers, old images) regularly.
Best practice: treat cost as a non-functional requirement and review it in sprint retros.
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