Kubernetes Administration (LFS458)

 

Kursüberblick

This course covers the core concepts typically used to build and administer a Kubernetes cluster in production, using vendor-independent tools. We build a cluster, determine network configuration, grow the cluster, deploy applications and configure the storage, security and other objects necessary for typical use. This course offers exposure to the many skills necessary to administer Kubernetes in a production environment.

This course is excellent preparation for the Certified Kubernetes Administrator (CKA) exam.

Zielgruppe

This course is for anyone who wants to learn the skills necessary to build and administer a Kubernetes cluster.

Voraussetzungen

Students should have an understanding of Linux administration skills, comfortable using the command line. Must be able to edit files using a command-line text editor.

Kursinhalt

Introduction
  • Linux Foundation
  • Linux Foundation Training
  • Linux Foundation Certifications
  • Laboratory Exercises, Solutions and Resources
  • Distribution Details
  • Labs
Basics of Kubernetes
  • Define Kubernetes
  • Cluster Structure
  • Adoption
  • Project Governance and CNCF
  • Labs
Installation and Configuration
  • Getting Started With Kubernetes
  • Minikube
  • kubeadm
  • More Installation Tools
  • Labs
Kubernetes Architecture
  • Kubernetes Architecture
  • Networking
  • Other Cluster Systems
  • Labs
APIs and Access
  • API Access
  • Annotations
  • Working with A Simple Pod
  • kubectl and API
  • Swagger and OpenAPI
  • Labs
API Objects
  • API Objects
  • The v1 Group
  • API Resources
  • RBAC APIs
  • Labs
Managing State With Deployments
  • Deployment Overview
  • Managing Deployment States
  • Deployments and Replica Sets
  • DaemonSets
  • Labels
  • Labs
Services
  • Overview
  • Accessing Services
  • DNS
  • Labs
Volumes and Data
  • Volumes Overview
  • Volumes
  • Persistent Volumes
  • Passing Data To Pods
  • ConfigMaps
  • Labs
Ingress
  • Overview
  • Ingress Controller
  • Ingress Rules
  • Labs
Scheduling
  • Overview
  • Scheduler Settings
  • Policies
  • Affinity Rules
  • Taints and Tolerations
  • Labs
Logging and Troubleshooting
  • Overview
  • Troubleshooting Flow
  • Monitoring
  • Logging
  • Troubleshooting Resources
  • Labs
Custom Resource Definition
  • Overview
  • Custom Resource Definitions
  • Aggregated APIs
  • Labs
Kubernetes Federation
  • Overview
  • Federated Resources
  • Labs
Helm
  • Overview
  • Helm
  • Using Helm
  • Labs
Security
  • Overview
  • Accessing the API
  • Authentication and Authorization
  • Admission Controller
  • Pod Policies
  • Network Policies
  • Labs
Classroom Training

Dauer 4 Tage

Preis (exkl. MwSt.)
  • Deutschland: 2.690,- €