Openshift / Kubernetes
Red Hat OpenShift is an enterprise-ready Kubernetes container platform that enables automation inside and outside your Kubernetes clusters and contains a private container registry installed as part of the Kubernetes cluster.
- Commercial product with a subscription model
- Professional support available from Red Hat
- Supports multiple container runtimes like Docker, contained
OpenShift cluster is made up of the following parts:
✅ Control Plane
✅ Nodes
✅ Pods
✅ Operators
✅ Builds and pipelines
✅ Routes
✅ Templates
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Router objects in OpenShift
Features of OpenShift
✅ User-friendly platform
✅ Enterprise level security
✅ Built-in CI/CD pipeline
✅ Service Mesh
✅ Serverless Functions
✅ Container registry
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Kubernetes is an open-source system for automating containerized applications’ deployment, scaling, and management.
- Free, open-source
- Large community support
- Uses CRI-O as its default container runtime
Kubernetes cluster is made up of the following parts:
1. Control Plane (or) Master Node Components
2. Worker Machine (or) Node Components
✅ kube-apiserver
✅ etcd
✅ kube-scheduler
✅ kube-controller-manager
✅ cloud-controller-manager
Types of Kube controllers
✅ Deployment controllers
✅ Replication controllers
✅ StatefulSet controllers
✅ DaemonSet controllers
✅ kubelet
✅ kube-proxy
✅ Container Runtime
Kubernetes is a Service object that represents a group of pods that provide a specific service. Services allow you to expose your application to other parts of the cluster (or) the outside world flexibly and scalable.
✅ ClusterIP
✅ NodePort
✅ LoadBalancer
✅ ExternalName
In Kubernetes, the networking model for cluster-wide, pod-to-pod networking is based on a virtual network, which provides connectivity between all pods in the cluster.
Kubernetes, persistent storage is a way to store data in containers in a way that it persists even if the container is stopped (or) deleted.
✅ PersistentVolumes (PVs)
✅ PersistentVolumeClaims (PVCs)
Ingress in Kubernetes
Features of Kubernetes
✅ Self-healing
✅ Horizontal scaling
✅ Automatic rollout and rollback
✅ Service discovery and load balancing
✅ Storage orchestration
✅ Extensibility
✅ Secret and configuration management
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