CKA Exam Prep Lab Course Overview

Minimum Required Prerequisites for CKA Exam Prep Lab Course:

• Basic understanding of Linux systems and command line interface (CLI) usage
• Familiarity with Docker or another container runtime
• Fundamental knowledge of Cloud computing concepts and infrastructure
• Basic networking knowledge, including an understanding of TCP/IP and common networking protocols
• Awareness of YAML syntax for writing configuration files
• Some experience with using text editors in a Linux environment (e.g., vi, nano, or emacs)
• Prior exposure to Kubernetes concepts is helpful but not mandatory

Please note that while prior experience with Kubernetes is beneficial, the course is designed to teach you the necessary skills to prepare for the CKA exam. The emphasis is on hands-on learning, and the course will cover all required topics in detail.

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.