Kubernetes & Containers Training

Comprehensive Container & Kubernetes Training

This intensive hands-on training program takes you from Docker fundamentals to production-ready Kubernetes deployments. Designed for DevOps engineers, developers, and system administrators who want to master modern container orchestration.

Learning Objectives

By the end of this training, participants will:

Master Docker container lifecycle management, networking, and volumes
Build and optimize container images using best practices
Deploy and manage applications on Kubernetes clusters
Implement health checks, resource management, and scaling strategies
Configure Kubernetes services, load balancers, and ingress controllers
Manage secrets, ConfigMaps, and RBAC for secure deployments
Work with Helm charts for package management
Understand service meshes and advanced networking patterns

Duration: 3-5 days (customizable based on team needs)

Format: Hands-on labs using KIND (Kubernetes IN Docker) and Play with Docker environments

Training Curriculum

Module 1: Docker Fundamentals

Master the building blocks of containerization

Container lifecycle: run, stop, start, remove
Interactive containers and daemon processes
Container inspection and debugging
Executing commands inside containers
Resource constraints (CPU, memory limits)
Restart policies for production workloads

Module 2: Docker Images & Registries

Build, optimize, and distribute container images

Understanding image layers and caching
Writing efficient Dockerfiles
Multi-stage builds for smaller images
Working with Docker Hub and private registries
Image tagging and versioning strategies
Security scanning and best practices

Module 3: Docker Networking & Volumes

Connect containers and persist data

Docker network types: bridge, host, overlay
Container-to-container communication
Port mapping and exposure
Volume types and use cases
Bind mounts vs named volumes
Data persistence strategies

Module 4: Kubernetes Core Concepts

Understand the Kubernetes architecture

Kubernetes architecture and components
kubectl commands and cluster management
Pods: the smallest deployable unit
Multi-container Pod patterns (sidecar, ambassador)
Health probes: liveness, readiness, startup
Resource requests and limits

Module 5: Workload Management

Deploy and scale applications effectively

ReplicaSets for high availability
Deployments and rolling updates
DaemonSets for node-level services
Jobs and CronJobs for batch processing
Scaling strategies and HPA
Deployment strategies: blue-green, canary

Module 6: Services & Networking

Expose and load balance your applications

Service types: ClusterIP, NodePort, LoadBalancer
Service discovery and DNS
Ingress controllers and routing
Network policies for security
Load balancing strategies
External traffic management

Module 7: Configuration & Security

Secure and configure your deployments

ConfigMaps for application configuration
Secrets management best practices
RBAC: Roles, ClusterRoles, and Bindings
Service accounts and permissions
Security contexts and Pod security
User management and authentication

Module 8: Advanced Topics

Production-ready Kubernetes skills

Persistent Volumes and Storage Classes
Helm charts and package management
Service meshes introduction (Istio, Linkerd)
Monitoring and observability
Troubleshooting common issues
Comprehensive practice lab

Hands-On Lab Experience

Learn by Doing

Our training emphasizes practical, hands-on experience. Each module includes comprehensive labs where participants work through real-world scenarios:

Play with Docker: Browser-based Docker environment for instant practice
KIND Clusters: Full Kubernetes clusters running locally in Docker
Real-World Scenarios: Troubleshoot production-like issues
Progressive Complexity: From basics to advanced multi-container deployments

Lab Highlights

Deploy a complete microservices application
Implement rolling updates with zero downtime
Configure auto-scaling based on metrics
Set up secure service-to-service communication
Debug and troubleshoot failing deployments
Implement GitOps-style deployment workflows

Who Should Attend

DevOps Engineers

Build and maintain CI/CD pipelines with container-native deployments. Learn to automate infrastructure and application delivery at scale.

Software Developers

Understand how your applications run in production. Write container-friendly code and debug issues in containerized environments.

System Administrators

Transition from traditional infrastructure to container orchestration. Manage clusters, networking, and storage for containerized workloads.

Platform Engineers

Design and implement internal developer platforms. Create self-service infrastructure for development teams using Kubernetes.