Kubernetes Administration (LFS458)
Course overview
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 and is excellent preparation for the Certified Kubernetes Administrator (CKA) exam.
This course does not focus on one vendor’s tools. Most courses are vendor-locked. We use kubeadm to deploy the cluster and focus on tools that would work on anyone’s Kubernetes cluster.
Target audience
- Installation of a multi-node Kubernetes cluster using kubeadm, and how to grow a cluster.
- Choosing and implementing cluster networking.
- Various methods of application lifecycle management, including scaling, updates and roll-backs.
- Configuring security both for the cluster as well as containers.
- Managing storage available to containers.
- Learn monitoring, logging and troubleshooting of 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
Course Outline
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.
- Introduction
- Linux Foundation
- Linux Foundation Training
- Linux Foundation Certifications
- Linux Foundation Digital Badges
- 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
- Rook
- Passing Data To Pods
- ConfigMaps
- Labs
- Ingress
- Overview
- Ingress Controller
- Ingress Rules
- Service Mesh
- Labs
- Scheduling
- Overview
- Scheduler Settings
- Policies
- Affinity Rules
- Taints and Tolerations
- Labs
- Logging and Troubleshooting
- Overview
- Troubleshooting Flow
- Basic Start Sequence
- Monitoring
- Logging
- Troubleshooting Resources
- Labs
- Custom Resource Definition
- Overview
- Custom Resource Definitions
- Aggregated APIs
- Labs
- Helm
- Overview
- Helm
- Using Helm
- Labs
- Security
- Overview
- Accessing the API
- Authentication and Authorization
- Admission Controller
- Pod Policies
- Network Policies
- Labs
- High Availability
- Overview
- Stacked Database
- External Database
- Labs
- Closing and Evaluation Survey
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