Enterprise-Level OpenShift Cost Optimization: Best Practices, Scenarios, and Code Examples

Red Hat OpenShift is a powerful enterprise Kubernetes platform that enables organizations to manage, scale, and deploy applications efficiently. However, as with any cloud-native infrastructure, costs can quickly escalate if not managed properly. This guide explores enterprise-grade best practices for OpenShift cost optimization with real-world scenarios, actionable strategies, and code examples.

Key Cost Optimization Strategies

1. Rightsizing Workloads for Efficient Resource Utilization

Scenario:

An enterprise SaaS provider running multiple microservices on OpenShift notices increased cloud bills. On analysis, they find that many pods are over-provisioned with CPU and memory.

Best Practices:

• Monitor Resource Usage: Use OpenShift’s built-in monitoring tools like Prometheus and Grafana to track CPU and memory utilization.
• Set Resource Requests and Limits: Define appropriate CPU/memory requests and limits in your pod specifications to prevent excessive over-provisioning.
• Use Vertical Pod Autoscaler (VPA): Automatically adjust resource…