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Kubernetes is an open-source container orchestration platform for automating deployment, scaling, and management of containerized applications.
Before diving into setting up and using Kubernetes, it's crucial to understand what Kubernetes is, why we need it, and how its architecture works.
Kubernetes (often abbreviated as K8s) is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications.
Key Features of Kubernetes:
- Automated Deployment & Scaling – No need to manually start/stop containers.
- Self-Healing – Kubernetes replaces failed containers automatically.
- Load Balancing & Service Discovery – Distributes traffic across running instances.
- Storage Orchestration – Manages storage volumes for stateful applications.
- Configuration & Secrets Management – Securely manages sensitive application data.
- Multi-Cloud & Hybrid Support – Runs on AWS, GCP, Azure, or even on-premise.
Before Kubernetes, developers used traditional methods of deploying applications on servers, which were inefficient and prone to scalability and reliability issues.
Initially, virtual machines (VMs) were used, but they were heavy and slow. Then, containers (like Docker) became popular, but managing multiple containers manually became complex. Kubernetes was created to automate this process, making it easier to manage containerized applications at scale.
Kubernetes follows a master-worker architecture, consisting of multiple components:
🛠️ Control Plane (Master Node) The Control Plane is responsible for managing the entire cluster and includes:
API Server (kube-apiserver) – The central component that exposes Kubernetes APIs to users and tools like kubectl. Scheduler (kube-scheduler) – Assigns workloads (Pods) to worker nodes based on resource availability. Controller Manager (kube-controller-manager) – Ensures the desired state of the cluster (e.g., scaling, pod replication). etcd – A distributed key-value store that keeps cluster configuration and state.
Worker nodes run applications inside containers and communicate with the control plane. Each node has:
- Kubelet – The agent that communicates with the master and runs the containers.
- Container Runtime (Docker/Containerd/CRI-O) – Runs the containers inside the pods.
- Kube Proxy – Handles network communication between pods and services.
Concept Description Pod 🟢 The smallest deployable unit in Kubernetes. Contains one or more containers. Deployment 📦 Manages replica sets and ensures pods run consistently. Service 🔗 Exposes a set of pods to the network (ClusterIP, NodePort, LoadBalancer). ConfigMap 🛠️ Stores configuration data for applications. Secret 🔑 Stores sensitive data like API keys and passwords. Persistent Volume (PV) 🗄️ Provides storage for stateful applications.
- Install prerequisites (Docker,
kubectl, Minikube) - Start a local Kubernetes cluster using Minikube
- Basic
kubectlcommands:kubectl cluster-info kubectl get nodes kubectl get pods --all-namespaces
- Create a simple deployment:
kubectl create deployment myapp --image=nginx
- Scale deployments:
kubectl scale deployment myapp --replicas=3
- Expose deployment using a service:
kubectl expose deployment myapp --type=NodePort --port=80
- Service types: ClusterIP, NodePort, LoadBalancer, ExternalName
- How to access applications inside/outside the cluster
- Create a LoadBalancer service:
kubectl expose deployment myapp --type=LoadBalancer --port=80
- Using Persistent Volumes (PVs) & Persistent Volume Claims (PVCs)
- ConfigMaps & Secrets:
kubectl create configmap app-config --from-literal=APP_ENV=production
- Difference between Stateless vs. Stateful applications
- Deploying StatefulSets (e.g., MySQL, PostgreSQL)
- Managing Persistent Storage
- Understanding CNI (Container Networking Interface)
- Kubernetes Service Discovery & DNS
- Ingress controllers and Ingress rules:
apiVersion: networking.k8s.io/v1 kind: Ingress metadata: name: myapp-ingress spec: rules: - host: myapp.local http: paths: - path: / pathType: Prefix backend: service: name: myapp port: number: 80
- Role-Based Access Control (RBAC)
- Securing Secrets & ConfigMaps
- Pod Security Policies
- Service Accounts
- Introduction to Helm charts
- Installing Helm & creating a Helm chart
- Deploying applications using Helm:
helm install myapp ./mychart
- Automating deployments with ArgoCD, FluxCD
- Using GitOps methodology
- Integrating Kubernetes with Jenkins/GitHub Actions
- Kubernetes Pod Security Standards (PSS)
- Security Context & Pod Security Policies
- Network Policies:
apiVersion: networking.k8s.io/v1 kind: NetworkPolicy metadata: name: allow-web spec: podSelector: matchLabels: app: web policyTypes: - Ingress ingress: - from: - podSelector: matchLabels: app: backend
- Resource limits & requests
- Horizontal & Vertical Pod Autoscaling
- Cluster Autoscaler
- Logging with Fluentd & Elasticsearch
- Monitoring with Prometheus & Grafana
- Debugging with
kubectl logs,kubectl describe
- Running Kubernetes on AWS EKS, GCP GKE, Azure AKS
- Managing multi-cluster environments
- Cost optimization in Kubernetes
- Join Kubernetes Slack & CNCF community
- Contribute to Kubernetes open-source projects
- Take CKA (Certified Kubernetes Administrator) Exam