☸️ Kubernetes Index

Kubernetes (K8s) is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications.

Overview

Kubernetes provides a framework to run distributed systems resiliently. It handles scaling, failover, deployment patterns, and provides service discovery and load balancing for your applications.

Core Concepts

Fundamentals

Learning Path

Follow this sequence for optimal understanding:

  1. Start Here: 1 Kubernetes Overview - Understand what Kubernetes is and why it’s used
  2. Architecture: 2 Kubernetes Architecture - Learn how Kubernetes works internally

Key Concepts

Kubernetes Components

Control Plane

  • API Server - Frontend for Kubernetes control plane
  • etcd - Consistent key-value store for cluster data
  • Scheduler - Assigns pods to nodes
  • Controller Manager - Runs controller processes

Worker Nodes

  • kubelet - Agent that runs on each node
  • kube-proxy - Network proxy on each node
  • Container Runtime - Software for running containers (Docker, containerd)

Core Objects

Pod

  • Smallest deployable unit
  • One or more containers
  • Shared network and storage

Service

  • Stable network endpoint
  • Load balances across pods
  • Service discovery

Deployment

  • Declarative updates for pods
  • Rolling updates and rollbacks
  • Replica management

ConfigMap & Secret

  • Configuration management
  • Sensitive data handling

Kubernetes vs ECS

FeatureKubernetesECS
ComplexityHigher learning curveSimpler, AWS-native
PortabilityCloud-agnosticAWS-specific
EcosystemLarge, mature ecosystemAWS ecosystem
ManagementMore configuration neededManaged by AWS
Use CaseMulti-cloud, complex appsAWS-focused deployments

Best Practices

Deployment

  • Use declarative configuration (YAML)
  • Version control your manifests
  • Use namespaces for isolation
  • Implement resource requests and limits
  • Use liveness and readiness probes

Security

  • Enable RBAC (Role-Based Access Control)
  • Use network policies for pod communication
  • Scan container images for vulnerabilities
  • Use secrets for sensitive data
  • Implement pod security policies

Scaling

  • Use Horizontal Pod Autoscaler (HPA)
  • Configure cluster autoscaling
  • Set appropriate resource requests/limits
  • Use pod disruption budgets

Monitoring

  • Deploy monitoring stack (Prometheus, Grafana)
  • Collect logs centrally
  • Set up alerts for critical metrics
  • Monitor cluster health and capacity

Prerequisites

Container Technologies

AWS Integration

  • EC2 - Worker node infrastructure
  • ALB - Ingress load balancing
  • VPC - Cluster networking

Advanced Topics

Common Use Cases

  1. Microservices Architecture - Deploy and manage microservices
  2. Multi-Cloud Deployments - Run workloads across cloud providers
  3. Hybrid Cloud - Bridge on-premises and cloud infrastructure
  4. CI/CD Pipelines - Automated deployment workflows
  5. Batch Processing - Run batch jobs with Job objects
  6. Stateful Applications - Deploy databases with StatefulSets

AWS Kubernetes Options

Amazon EKS (Elastic Kubernetes Service)

  • Managed Kubernetes control plane
  • Automatic updates and patching
  • Integration with AWS services
  • High availability across multiple AZs

Self-Managed Kubernetes on EC2

  • Full control over cluster
  • More operational overhead
  • Custom configurations possible
  • Cost optimization opportunities

EKS on Fargate

  • Serverless Kubernetes pods
  • No node management
  • Pay per pod
  • Simplified operations

Learning Resources

Official Documentation

  • Kubernetes.io - Official documentation
  • AWS EKS Documentation - AWS-specific guides

Hands-On Practice

  • Minikube - Local Kubernetes cluster
  • Kind - Kubernetes in Docker
  • EKS Workshop - AWS hands-on labs

Certification

  • Certified Kubernetes Administrator (CKA)
  • Certified Kubernetes Application Developer (CKAD)
  • AWS Certified Solutions Architect

Troubleshooting

Common Issues

  • Pods not starting - Check image pull, resource limits, and node capacity
  • Service not accessible - Verify service type, selectors, and network policies
  • Persistent volume issues - Check storage class and PVC bindings
  • Node not ready - Investigate kubelet logs and node resources
  • DNS resolution failing - Check CoreDNS pods and service

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