Kubernetes Essentials Container Orchestration Fundamentals

Master the fundamentals of Kubernetes container orchestration. Learn to deploy, manage, and scale applications in production-ready Kubernetes clusters with confidence.

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What You'll Learn

Kubernetes has become the de facto standard for container orchestration. This comprehensive training takes you from zero to production-ready, covering everything from basic concepts to advanced deployment patterns. You'll gain hands-on experience managing real applications in Kubernetes clusters.

  • Deploy and manage applications on Kubernetes clusters
  • Understand Kubernetes architecture and core components
  • Create and manage Pods, Services, Deployments, and other resources
  • Implement service discovery and load balancing
  • Configure persistent storage and data management
  • Set up monitoring, logging, and observability
  • Implement security best practices and RBAC
  • Troubleshoot common Kubernetes issues effectively
  • Design scalable and resilient application architectures
  • Automate deployments with GitOps workflows
1

Kubernetes Fundamentals

Understanding the core concepts and architecture of Kubernetes

What is Kubernetes and why it matters
Kubernetes architecture overview
Master and worker node components
Container runtime and networking basics
Setting up a local development environment
kubectl CLI essentials
2

Core Kubernetes Objects

Working with fundamental Kubernetes resources

Pods: The smallest deployable units
ReplicaSets and Deployments
Services and service discovery
ConfigMaps and Secrets
Namespaces and resource organization
Labels and selectors
3

Application Deployment Patterns

Deploying real applications with best practices

Multi-tier application deployment
Rolling updates and rollback strategies
Health checks and readiness probes
Resource requests and limits
Horizontal Pod Autoscaling
Deployment strategies (Blue-Green, Canary)
4

Networking and Service Mesh

Understanding Kubernetes networking and communication

Cluster networking fundamentals
Service types (ClusterIP, NodePort, LoadBalancer)
Ingress controllers and routing
Network policies and security
DNS resolution in Kubernetes
Introduction to service mesh concepts
5

Storage and Data Management

Managing persistent data in Kubernetes

Volumes and volume types
Persistent Volumes and Persistent Volume Claims
Storage classes and dynamic provisioning
StatefulSets for stateful applications
Database deployment patterns
Backup and disaster recovery strategies
6

Configuration Management

Managing application configuration and secrets

ConfigMaps for application configuration
Secrets management best practices
Environment-specific configurations
Configuration injection patterns
External secret management integration
GitOps configuration workflows
7

Security and RBAC

Implementing security best practices in Kubernetes

Authentication and authorization
Role-Based Access Control (RBAC)
Pod Security Standards
Network security and policies
Image security and scanning
Secrets encryption at rest
8

Monitoring and Observability

Implementing comprehensive monitoring and logging

Metrics collection with Prometheus
Visualization with Grafana
Centralized logging with ELK stack
Distributed tracing concepts
Alerting and notification strategies
Performance monitoring and optimization
9

Troubleshooting and Debugging

Diagnosing and resolving common Kubernetes issues

kubectl debugging commands
Pod and container troubleshooting
Network connectivity issues
Resource constraint problems
Application startup and crash debugging
Cluster-level troubleshooting
10

Production Best Practices

Preparing applications and clusters for production

Cluster sizing and capacity planning
High availability patterns
Disaster recovery planning
Security hardening checklist
Performance optimization
Cost optimization strategies