Certified Kubernetes Administrator (CKA)

Description

This class prepares students for the Certified Kubernetes Administrator (CKA) exam. Kubernetes is a Cloud Orchestration Platform providing reliability, replication, and stability while maximizing resource utilization for applications and services. By the conclusion of this hands-on, vendor agnostic training you will go back to work with the knowledge, skills, and abilities to design, implement, and maintain a production-grade Kubernetes cluster. We prioritize covering all objectives and concepts necessary for passing the Certified Kubernetes Administrator (CKA) exam. You will be provided the components necessary to assemble your own high availability Kubernetes environment and configure, nexpand, and control it to meet the demands made of cluster administrators. Your week of intensive, hands-on training will conclude with a mock CKA exam that simulates the real exam.

Class Objectives:

  • Cluster architecture, installation, and configuration

  • Rolling out and rolling back applications in production

  • Scaling clusters and applications to best use

  • How to create robust, self healing deployments

  • Networking configuration on cluster nodes, services, and CoreDNS

  • Persistent and intelligent storage for applications

  • Troubleshooting cluster, application, and user errors

  • Vendor-agnostic cloud provider-based Kubernetes

  • AI LLM prompt engineering for generating configuration snippets and solutions

Class Outline:
Lesson 1 = Cluster Architecture
• 💬 Lecture: Kubernetes Architecture
• 💬 Lecture: Pods and the Control Plane
Lesson 2 = Installation
• 💬 Lecture: Kubeadm Prerequisites
• 💻 Lecture + Lab: Kubeadm Prerequisites
• 💬 Lecture: Configure Network Plugin Requirements
• 💻 Lecture + Lab: Configure Network Plugin Requirements
• 💬 Lecture: Kubeadm Basic Cluster
• 💻 Lecture + Lab: Installing Kubeadm
• 💬 Lecture: Join Node to Cluster
• 💻 Lecture + Lab: Join Node to Cluster
Lesson 3 = Cluster Administration
• 💬 Lecture: ETCD Snapshot and Restore
• 💻 Lecture + Lab: ETCD Snapshot and Restore
• 💬 Lecture: Kubeadm Cluster Upgrade
• 💻 Lecture + Lab: Kubeadm cluster upgrade
• 💬 Lecture: Purge Kubeadm
• 💻 Lecture + Lab: Purge Kubeadm
• 💬 Lecture: Kubernetes the Alta3 Way
• 💻 Lecture + Lab: Deploy Kubernetes using Ansible
Lesson 4 = Containers
• 💬 Lecture: Container Essentials
• 💻 Lecture + Lab: Creating a Docker Image
Lesson 5 = Pod Basics
• 💬 Lecture: YAML
• 💬 Lecture: Manifests
• 💻 Lecture + Lab: Basic Pods
• 💬 Lecture: Namespaces
• 💻 Lecture + Lab: Namespaces
• 💬 Lecture: API Versioning and Deprecations
Lesson 6 = Kubectl
• 💬 Lecture: Kubectl get and sorting
• 💻 Lecture + Lab: kubectl get
Lesson 7 = Resource Management
• 💻 Lecture + Lab: Kubectl Top and Application Monitoring
• 💬 Lecture: Limits, Requests, and Namespace ResourceQuotas
• 💻 Lecture + Lab: Resource Requests and Limits
• 💻 Lecture + Lab: Namespace Resource Quota
• 💬 Lecture: Admission Controller
• 💻 Lecture + Lab: Create a LimitRange AdmissionController
Lesson 8 = User Administration
• 💬 Lecture: Contexts
• 💻 Lecture + Lab: Contexts
• 💬 Lecture: Role Based Access Control
• 💻 Lecture + Lab: Role Based Access Control
• 💻 Lecture + Lab: RBAC Distributing Access
Lesson 9 = Advanced Pod Design
• 💬 Lecture: Readiness and Liveness Probes
• 💻 Lecture + Lab: Implement Probes and Health Checks
• 💬 Lecture: ConfigMaps and Volume Mounting
• 💻 Lecture + Lab: Persistent Configuration with ConfigMaps
• 💬 Lecture: Secrets
• 💻 Lecture + Lab: Create and Consume Secrets
• 💬 Lecture: Multi-Container Pods
• 💻 Lecture + Lab: Creating Ephemeral Storage For Fluentd Logging Sidecar
• 💬 Lecture: Init Containers
• 💻 Lecture + Lab: Understand the Init Container Multi-Container Pod Design Lesson 10 = Pattern
• 💬 Lecture: Taints, Tolerations, and Pod Affinity
• 💻 Lecture + Lab: Tainted Nodes and Tolerations
Lesson 11 = Logging
• 💬 Lecture: Logging with kubectl log
• 💻 Lecture + Lab: Utilize Container Logs
• 💬 Lecture: Advanced Logging Techniques
Lesson 12 = Labels
• 💬 Lecture: Labels
• 💻 Lecture + Lab: Labels and Selectors
• 💬 Lecture: Annotations
• 💻 Lecture + Lab: Insert an Annotation
Lesson 13 = Replica and Daemon Sets
• 💬 Lecture: ReplicaSets
• 💻 Lecture + Lab: Create and Configure a ReplicaSet
• 💬 Lecture: DaemonSets
Lesson 14 = Deployments
• 💬 Lecture: Deployments - Purpose and Advantages
• 💻 Lecture + Lab: Writing a Deployment Manifest
• 💬 Lecture: Deployments - Version Control
• 💻 Lecture + Lab: Performing Rolling Updates and Rollbacks with Deployments
• 💬 Lecture: Blue/Green and Canary Deployment Strategies
• 💻 Lecture + Lab: Advanced Deployment Strategies
• 💬 Lecture: Deployments - Horizontal Scaling
• 🏆 Challenge: Horizontal Pod Autoscaling
Lesson 15 = Persistent Storage
• 💬 Lecture: Persistent Volumes, Claims, and StorageClasses
• 💻 Lecture + Lab: Using PersistentVolumeClaims for Storage
• 💬 Lecture: PVC, PV, and StorageClass config
• 💻 Lecture + Lab: Persistent Storage with NFS
Lesson 16 = Services & Networking
• 💬 Lecture: NetworkPolicy
• 💻 Lecture + Lab: Deploy a NetworkPolicy
• 💻 Lecture + Lab: Namespace Network Policy
• 💬 Lecture: Services - LoadBalancer, NodePort, and ClusterIP
• 💻 Lecture + Lab: Access to applications via services
• 💬 Lecture: Networking Plugins
• 💬 Lecture: Ingress Controllers
• 💻 Lecture + Lab: Ingress Controllers Expose a Service
Lesson 17 = DNS
• 💬 Lecture: Hostnames and FQDNs
• 💻 Lecture + Lab: Hostnames and FQDNs
• 💬 Lecture: CoreDNS
• 💻 Lecture + Lab: Install CoreDNS
• 💬 Lecture: Configure CoreDNS
• 💻 Lecture + Lab: Configure CoreDNS
• 💻 Lecture + Lab: Revert CoreDNS to KubeDNS

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