CKA Exam Prep Lab Course Overview

Course Prerequisites

• Basic Computer Knowledge.

Target Audience for CKA Exam Prep Lab

The CKA Exam Prep Lab by Koenig Solutions is a comprehensive training course for professionals looking to master Kubernetes cluster management and operations.

• DevOps Engineers
• System Administrators
• Cloud Engineers
• Site Reliability Engineers (SREs)
• Software Developers with an interest in deployment and network operations
• IT Professionals seeking CKA certification
• Technical Leads managing containerized applications
• Infrastructure Architects planning Kubernetes deployments
• Product Managers who need to understand Kubernetes infrastructure
• Security Engineers focusing on containerized application security
• Technical Project Managers overseeing Kubernetes projects
• Application Developers designing scalable apps with Kubernetes
• Technical Support Specialists in Kubernetes environments
• Network Engineers who want to understand container networking
• Storage Administrators dealing with persistent storage for containers

Learning Objectives - What you will Learn in this CKA Exam Prep Lab?

Introduction to Learning Outcomes

Gain hands-on expertise in managing Kubernetes clusters with our CKA Exam Prep Lab course, focusing on installation, workloads, networking, storage, and troubleshooting for robust, secure, and highly-available environments.

Learning Objectives and Outcomes

• Install and Configure Kubernetes Clusters:

  • Learn to create a basic cluster using Kubeadm.
  • Understand how to manage and maintain high availability in a Kubernetes cluster.
  • Acquire skills to provision infrastructure for deploying a Kubernetes cluster.

• Cluster Upgrades and Maintenance:

  • Perform version upgrades on Kubernetes clusters with Kubeadm.
  • Implement and manage etcd cluster backup and restore procedures.

• Workloads and Scheduling:

  • Master deployment strategies, including rolling updates and rollbacks.
  • Configure applications using ConfigMaps and Secrets.
  • Manage application scaling and self-healing mechanisms.
  • Apply resource limits to influence Pod scheduling.

• Service and Networking:

  • Comprehend cluster node networking configurations.
  • Establish Pod connectivity and understand different service types (ClusterIP, NodePort, LoadBalancer).
  • Deploy and configure Ingress controllers and resources.
  • Select and use the appropriate CNI plugin.

• Storage Management:

  • Understand the configuration and use of storage classes and persistent volumes.
  • Manage persistent volume claims and understand their relationship with persistent volumes.

• Troubleshooting:

  • Diagnose and resolve issues related to application and cluster component failures.
  • Analyze and manage cluster and node logging, as well as container logs.
  • Troubleshoot common networking issues within a Kubernetes environment.