Kubernetes Administrator CKA Course

Kubernetes Administrator CKA

The Kubernetes Administrator CKA Course covers the fundamentals of Kubernetes, a powerful container orchestration platform. You'll learn about its architecture, components, and various tools, as well as how to install, configure, and manage Kubernetes clusters. The course delves into storage and networking, exploring volumes, data, services, and ingress. You'll also study scheduling, logging, troubleshooting, and security aspects, including authentication and authorization. Throughout the course, hands-on labs offer practical experience with the concepts and technologies discussed. Upon completion, you'll be well-prepared to pursue the CKA certification, validating your expertise in managing Kubernetes environments.

Course Objectives

The main objectives of the Kubernetes Administrator CKA Course are:

  1. Understand Kubernetes architecture and components.
  2. Install, configure, and manage Kubernetes clusters.
  3. Utilize storage and networking features, including volumes and services.
  4. Troubleshoot common issues and monitor cluster performance.
  5. Implement security measures, such as authentication and authorization.
  6. Optimize scheduling and resource allocation for efficient workloads.
  7. Gain hands-on experience through practical lab exercises.
  8. Prepare for the Kubernetes Administrator (CKA) certification exam
Upon completion of the course, individuals should be able to take Exam to achieve a Kubernetes CKA Certification.

Course Certification

This course helps you prepare to take the: Kubernetes CKA

Course Outline

Module 1: Basics of Kubernetes

  • What Is Kubernetes?
  • Components of Kubernetes
  • Challenges, Other Solutions, and Borg Heritage
  • Kubernetes Architecture, Terminology, and Innovation
  • User Community, Tools, and Cloud Native Computing Foundation (CNCF)
  • Resource Recommendations
Module 2: Installation and Configuration
  • Installation Tools
  • Installing kubectl, Minikube, and kubeadm
  • Using Google Kubernetes Engine (GKE)
  • Installation Considerations and Main Deployment Configurations
  • Compiling from Source
Module 3: Kubernetes Architecture and Components
  • Control Plane Node, Worker Nodes, Kubelet, and Operators
  • Service Operator, Pods, Containers, and Init Containers
  • API Call Flow, Networking Setup, and CNI Network Configuration File
Module 4: APIs and Access
  • API Access, RESTful, and Checking Access
  • Optimistic Concurrency, Using Annotations, and Simple Pod
  • Managing API Resources with kubectl
  • Access from Outside the Cluster and Working with Namespaces
  • Swagger and OpenAPI, API Maturity
Module 5: API Objects and Managing State with Deployments
  • API Objects Overview, v1 API Group, and Discovering API Groups
  • Deploying Applications, DaemonSets, StatefulSets, Autoscaling, and Jobs
  • RBAC and Deployment Configurations
Module 6: Volumes and Data
  • Introducing Volumes, Volume Types, and Shared Volume Example
  • Persistent Volumes and Claims, Dynamic Provisioning
  • Using Rook for Storage Orchestration, Secrets, and ConfigMaps
Module 7: Services, Helm, and Ingress
  • Service Update Pattern, Service Types, and Services Diagram
  • DNS, Helm, Chart Contents, Templates, and Chart Repositories
  • Ingress Controller, nginx, Google Load Balancer Controller (GLBC), and Ingress API Resources
Module 8: Scheduling, Logging, and Troubleshooting
  • kube-scheduler, Filtering (Predicates), Scoring (Priorities), and Scheduling Policies
  • Pod Specification, Affinity Rules, Taints, and Tolerations
  • Basic Troubleshooting Steps, Ephemeral Containers, Cluster Start Sequence, and Monitoring
Module 9: Custom Resource Definitions and Security
  • Configuration Example, New Object Configuration, Optional Hooks, and Understanding Aggregated APIs
  • Cloud Security Considerations, Authentication, Authorization, RBAC, and Webhook Modes
  • Admission Controller, Security Contexts, Pod Security Policies, and Network Security Policies
Module 10: High Availability and Lab Activities
  • Cluster High Availability, Collocated and Non-Collocated Databases
  • Hands-on lab exercises covering various topics throughout the course, such as installation, configuration, storage, networking, and troubleshooting
Lab outline
  • How to connect to lab
  • Install Kubernetes
  • Work with the cluster
  • Imperative and declarative
  • API
  • API Discovery
  • Anatomy API Request
  • Namespace
  • Labels
  • Running Pods
  • Running Multi-container Pods
  • Pod Lifecycle
  • Implementing container probes
  • System Pods and Controllers
  • Create Deployment
  • Create Deployment-Replicaset
  • Update a Deployment
  • Rolling back Deployment
  • Scaling a Deployment
  • Creating a Daemonset
  • Executing Jobs and CronJobs
  • Storage Static Provisioning
  • Storage Dynamic Provisioning
  • Environment Variables
  • Secrets
  • Private Container Registry
  • ConfigMap
  • Scheduling
  • Scheduling with Affinity and Antiaffinity
  • Node Cordoning
  • Calico CNI Plugin
  • Configure CoreDNS
  • Services
  • Service Discovery
  • Ingress
  • ETCD
  • Upgrade Kubernetes
  • Logging
  • JSONpath
  • Monitoring with Metric Server
  • Troubleshooting Node failures
  • Troubleshooting Control Plane failures
  • Troubleshooting Workloads
  • Authentications
  • Manage Authorizations
  • PKI on controller
  • Create a certificate for a new user
  • kubeconfig and context
  • RBAC

Course Mode

Instructor-Led Remote Live Classroom Training;

Trainers

Trainers are CKA and CKAD Certified and in other IT technologies, with years of hands-on experience in the industry and in Training.

Lab Topology

For all types of delivery, the Trainee can access real Cisco equipment and systems in our laboratories or directly at the Cisco data centers remotely 24 hours a day. Each participant has access to implement the various configurations thus having a practical and immediate feedback of the theoretical concepts. Here are some Labs topologies available:  

Kubernetes CKA Lab

Course Details

Course Prerequisites

Before starting the Kubernetes CKA course, it's helpful to have a basic understanding of containerization concepts, familiarity with Linux command-line operations, and some experience with cloud computing platforms.

Course Duration

5 days

Course Frequency

Course Duration: 5 days (9.00 to 17.00) - Ask for other types of attendance.

Course Date

Kubernetes Administrator CKA Course On request

Steps to Enroll

Registration takes place by asking to be contacted from the following link, or by contacting the office at the international number +355 45 301 313 or by sending a request to the email info@hadartraining.com