Kubernetes Foundations
| Summary: |
    
- Formats:
Classroom,
Live Online,
vFlex-ILT,
Onsite
- Length: 2 Days
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.
|
|
| Objectives: | By the end of the course, you should be able to meet the following 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 |
|
| Intended Audience: | • Anyone involved with using or building a Kubernetes cluster | |
| Prerequisites: | • Linux concepts and command line proficiency • General networking proficiency |
|
| Outline: | 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 |
|
