Course Overview
This two-day course is the first step in learning about Containers and Kubernetes. Through a series of lectures and lab exercises, the fundamental concepts of Kubernetes will be presented and put to practice by containerizing and deploying a two-tier application into Kubernetes.
Course Objectives
• Build, test, and publish Docker container images
• Become familiar with authoring YAML files and its syntax
• Understand Kubernetes core user-facing concepts, including Pods, Services, and Deployments
• Use kubectl the Kubernetes CLI, and become familiar with its commands and options
• Understand the architecture of Kubernetes (Control plane and its components, worker nodes, and kubelet)
• Learn to debug issues with application deployments on Kubernetes
• Apply resource requests, limits, and probes to deployments
• Manage dynamic application configuration using ConfigMaps and Secrets
• Deploy other workloads, including StatefulSets, DaemonSets, Jobs, CronJobs
• Learn about user-facing security best practices using ServiceAccounts, RBAC, and NetworkPolicies
Pre-Requisite
• Linux concepts and command line proficiency
• General networking proficiency
Who Should Attend
• Anyone involved with using or building a Kubernetes cluster
Related Certification Exam
N/A
Course Modules
1. Introduction to Containers
• What and Why Containers
• Building images
• Running containers
• Debugging containers
• Registry and image management
2. Kubernetes Fundamentals
• Why Kubernetes?
• YAML
• Pods
• Services
• Deployments
3. Kubernetes Architecture & Troubleshooting
• Cluster architecture
• Cluster components
• Namespaces
• Debugging 101
4. Deployment Management
• Application deployment strategies
• Controlling active deployments
5. Pod and Container Configurations
• Resource requests, limits, and quotas
• Probes
6. Kubernetes Networking
• Pod networking
• Services deep dive
• Ingress controllers
7. Kubectl and Resource Organization
• kubeconfig
• Namespaces deep dive
• Labels
• Node/Pod affinity
• Taints/Tolerations
8. Stateful Applications
• Persistent storage
• StatefulSets
9. Dynamic Application Configuration
• Docker dynamic configuration
• ConfigMaps
• Secrets
10. Additional Workloads
• Jobs
• CronJobs
• DaemonSets
11. Security
• Service accounts
• Role-Based access control
• Network policies
• SecurityContext
