Key metrics for OpenShift monitoring

Red Hat OpenShift is a Kubernetes-based platform designed to help enterprise users deploy and manage containerized applications, offering enhanced multi-tenancy, security, monitoring, and CI/CD tools compared to standard Kubernetes installations. OpenShift can be deployed as a self-managed cluster or via managed services from major cloud providers like AWS, Azure, and IBM Cloud. It builds on Kubernetes with features such as role-based access control, Security Context Constraints, and extensive support for Operators, which automate tasks like cluster monitoring and storage provisioning. Monitoring OpenShift involves tracking metrics from various cluster components, including cluster state, resource utilization, and control plane performance, to ensure smooth running of workloads and optimal resource allocation. The platform requires specific operating systems for its nodes and has moved from Docker to CRI-O as the default container runtime in its 4.x versions. OpenShift's monitoring capabilities include kube-state-metrics for cluster state information, and metrics are crucial for capacity planning, ensuring applications are not OOM killed, and maintaining efficient resource utilization.