Practical ways to cut Kubernetes spend: rightsizing, spot/preemptible nodes, and FinOps practices.
Cloud-native cost is a top concern. Here’s how to optimize Kubernetes spend without hurting reliability.
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.
Run batch and fault-tolerant workloads on spot instances. Use node affinity and tolerations so critical workloads stay on on-demand.
Best practice: treat cost as a non-functional requirement and review it in sprint retros.
A real story of removing console-only changes, adding drift detection, and getting Terraform back in charge.
Blue-Green Deployment Guardrails. Practical guidance for reliable, scalable platform operations.
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