We provide course about Kubernetes Administration (LFS458). This course covers the core concepts typically used to build and administer a Kubernetes cluster in production, using vendor-independent tools.
Course description:
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 and is excellent preparation for the Certified Kubernetes Administrator (CKA) exam.
What you`ll learn:
In this course you will learn about installation of a multi-node Kubernetes cluster using kubeadm, and how to grow a cluster, choosing and implementing cluster networking, and various methods of application lifecycle management, including scaling, updates and roll-backs.
The course also covers configuring security both for the cluster as well as containers, managing storage available to containers, monitoring, logging and troubleshooting of containers and the cluster, configuring scheduling and affinity of container deployments, using Helm and Charts to automate application deployment, and understanding Federation for fault-tolerance and higher availability.
By the end of this course you will be prepared to install and configure a production-grade Kubernetes cluster, from network configuration to upgrades to making deployments available via services, and also handle the ongoing tasks necessary for Kubernetes administration. This course also serves as preparation for the CKA certification exam.
Course outline:
Module 1 - Basics of Kubernetes:
• Define Kubernetes
• Cluster Structure
• Adoption
• Project Governance and CNCF
• Labs
Module 2 - Installation and Configuration:
• Getting Started With Kubernetes
• Minikube
• kubeadm
• More Installation Tools
• Labs
Module 3 - Kubernetes Architecture:
• Kubernetes Architecture
• Networking
• Other Cluster Systems
• Labs
Module 4 - APIs and Access:
• API Access
• Annotations
• Working with A Simple Pod
• kubectl and API
• Swagger and OpenAPI
• Labs
Module 5 - API Objects:
• API Objects
• The v1 Group
• API Resources
• RBAC APIs
• Labs
Module 6 - Managing State With Deployments:
• Deployment Overview
• Managing Deployment States
• Deployments and Replica Sets
• DaemonSets
• Labels
• Labs
Module 7 - Volumes and Data:
• Volumes Overview
• Volumes
• Persistent Volumes
• Rook
• Passing Data To Pods
• ConfigMaps
• Labs
Module 8 - Services:
• Overview
• Accessing Services
• DNS
• Labs
Module 9 - Ingress:
• Overview
• Ingress Controller
• Ingress Rules
• Service Mesh
• Labs
Module 10 - Scheduling:
• Overview
• Scheduler Settings
• Policies
• Affinity Rules
• Taints and Tolerations
• Labs
Module 11 - Logging and Troubleshooting:
• Overview
• Troubleshooting Flow
• Basic Start Sequence
• Monitoring
• Plugins
• Logging
• Troubleshooting Resources
• Labs
Module 12 - Custom Resource Definition:
• Overview
• Custom Resource Definitions
• Aggregated APIs
• Labs
Module 13 - Helm:
• Overview
• Helm
• Using Helm
• Labs
Module 14 - Security:
• Overview
• Accessing the API
• Authentication and Authorization
• Admission Controller
• Pod Policies
• Network Policies
• Labs
Module 15 - High Availability:
• Overview
• Stacked Database
• External Database
• Labs
Module 16 - Closing and Evaluation Survey:
• Evaluation Survey
Target audience:
This course is ideal for those wishing to manage a containerized application infrastructure. This includes existing IT administrators, as well as those looking to start a cloud career.
Prerequisites:
• 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.
Language:
• English course material, english speaking instructor