Kubernetes Administration
From the cloud to hybrid environments and on-premise data centers, Kubernetes is essential to managing containerized applications, making it one of the highest-demand IT skills. Set your IT career up for success by learning the key concepts needed to build and administer a Kubernetes cluster, including application lifecycle management, configuring security, and more. In this live, instructor-led course you will learn with a cohort of fellow IT professionals while gaining key knowledge & skills related to the Certified Kubernetes Administrator (CKA) certification exam.
What you will learn
- Install a multi-node Kubernetes cluster using kubeadm
- Grow a cluster, choose and implement cluster networking
- Manage the application lifecycle, including scaling
- Handle various methods of application lifecycle management, including updates and roll-backs
- Configure security for both the cluster and containers
- Manage storage available to containers
- Monitor, log, and troubleshoot containers and the cluster
- Configure scheduling and affinity of container deployments
- Use Helm and Charts to automate application deployment
- Understand Federation for fault-tolerance and higher availability
Prerequisites
- Understanding of Linux administration skills
- Comfortable using the command line
- Ability to edit files using a command-line text editor
Target audience
- IT professionals wishing to manage a containerized application infrastructure, Existing IT administrators, Individuals looking to start a cloud career
Training Program
18 modules to master the fundamentals
Topics covered
- →The Linux Foundation Training
- →The Linux Foundation Certifications
- →The Linux Foundation Digital Badges
- →Laboratory Exercises, Solutions and Resources
- →Things Change in Linux and Open Source Projects
- →E-Learning Course: LFS258
- →Platform Details
Topics covered
- →Define Kubernetes
- →Cluster Structure
- →Adoption
- →Project Governance and CNCF
- →Labs
Topics covered
- →Getting Started With Kubernetes
- →Minikube
- →kubeadm
- →More Installation Tools
- →Labs
Topics covered
- →Kubernetes Architecture
- →Networking
- →Other Cluster Systems
- →Labs
Topics covered
- →API Access
- →Annotations
- →Working with A Simple Pod
- →kubectl and API
- →Swagger and OpenAPI
- →Labs
Topics covered
- →API Objects
- →The v1 Group
- →API Resources
- →RBAC APIs
- →Labs
Topics covered
- →Deployment Overview
- →Deployments and Replica Sets
- →DaemonSets
- →Labels
- →Labs
Topics covered
- →Helm Overview
- →Helm
- →Using Helm
- →Kustomize Overview
- →Labs
Topics covered
- →Volumes Overview
- →Volumes
- →Persistent Volumes
- →Rook
- →Passing Data To Pods
- →ConfigMaps
- →Labs
Topics covered
- →Overview
- →Accessing Services
- →DNS
- →Labs
Topics covered
- →Overview
- →Ingress Controller
- →Ingress Rules
- →Service Mesh
- →Limitations
- →Gateway API
- →Labs
Topics covered
- →Overview
- →Scheduler Settings
- →Pod Specification
- →Affinity Rules
- →Taints and Tolerations
- →Labs
Topics covered
- →Overview
- →Troubleshooting Flow
- →Basic Start Sequence
- →Monitoring
- →Plugins
- →Logging
- →Troubleshooting Resources
- →Labs
Topics covered
- →Overview
- →Custom Resource Definitions
- →Aggregated APIs
- →Labs
Topics covered
- →Overview
- →Accessing the API
- →Authentication and Authorization
- →Admission Controller
- →Network Policies
- →Labs
Topics covered
- →Overview
- →Stacked Database
- →External Database
- →Labs
Topics covered
- →Evaluation Survey
Topics covered
- →CKA Exam
- →Exam Domain Review
Quality Process
SFEIR Institute's commitment: an excellence approach to ensure the quality and success of all our training programs. Learn more about our quality approach
- Lectures / Theoretical Slides — Presentation of concepts using visual aids (PowerPoint, PDF).
- Technical Demonstration (Demos) — The instructor performs a task or procedure while students observe.
- Guided Labs — Guided practical exercises on software, hardware, or technical environments.
The achievement of training objectives is evaluated at multiple levels to ensure quality:
- Continuous Knowledge Assessment : Verification of knowledge throughout the training via participatory methods (quizzes, practical exercises, case studies) under instructor supervision.
- Progress Measurement : Comparative self-assessment system including an initial diagnostic to determine the starting level, followed by a final evaluation to validate skills development.
- Quality Evaluation : End-of-session satisfaction questionnaire to measure the relevance and effectiveness of the training as perceived by participants.
Upcoming sessions
Train multiple employees
- Volume discounts (multiple seats)
- Private or custom session
- On-site or remote