Course Description
This training covers the core concepts typically used to build & administer a Kubernetes cluster in production using vendor-independent tools. We build a cluster, determine network configuration, grow the cluster, deploy applications & configure the storage, security & other objects necessary for typical use. This training offers exposure to the many skills necessary to administer Kubernetes in the production environment & is excellent preparation for Certified Kubernetes Administrator (CKA) exam.
Prerequisites
Professionals 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.
Target Audience
This training 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.
Learning Objectives
In this training, you will learn about the installation of a multi-node Kubernetes cluster with the help of kubeadm, & how to grow a cluster, choose & implementing cluster networking, & various methods of application lifecycle management, including scaling, updates & roll-backs. The training also covers configuring security both for the cluster & containers, managing storage available to containers, monitoring, logging & troubleshooting of containers & the cluster, configuring scheduling & affinity of container deployments, using Helm & Charts to automate application deployment, & understanding Federation for fault-tolerance & higher availability.
Content Outline
- Linux Foundation
- Linux Foundation Training
- Linux Foundation Certifications
- Linux Foundation Digital Badges
- Laboratory Exercises, Solutions & Resources
- E-Learning Training: LFS258
- Platform Details
- Define Kubernetes
- Cluster Structure
- Adoption
- Project Governance & CNCF
- Labs
- Getting Started With Kubernetes
- Minikube
- kubeadm
- More Installation Tools
- Labs
- Kubernetes Architecture
- Networking
- Other Cluster Systems
- Labs
- API Access
- Annotations
- Working with A Simple Pod
- kubectl & API
- Swagger & OpenAPI
- Labs
- API Objects
- The v1 Group
- API Resources
- RBAC APIs
- Labs
- Deployment Overview
- Managing Deployment States
- Deployments & Replica Sets
- DaemonSets
- Labels
- Labs
- Volumes Overview
- Volumes
- Persistent Volumes
- Rook
- Passing Data To Pods
- ConfigMaps
- Labs
- Overview
- Accessing Services
- DNS
- Labs
- Overview
- Helm
- Using Helm
- Labs
- Overview
- Ingress Controller
- Ingress Rules
- Service Mesh
- Labs
- Overview
- Scheduler Settings
- Policies
- Affinity Rules
- Taints & Tolerations
- Labs
- Overview
- Troubleshooting Flow
- Basic Start Sequence
- Monitoring
- Plugins
- Logging
- Troubleshooting Resources
- Labs
- Overview
- Custom Resource Definitions
- Aggregated APIs
- Labs
- Overview
- Accessing the API
- Authentication & Authorization
- Admission Controller
- Pod Policies
- Network Policies
- Labs
- Overview
- Stacked Database
- External Database
- Labs
Evaluation Survey
- CKA Exam
- Exam Domain Review
FAQs
To attend the training session, you should have operational Desktops or Laptops with the required specification, along with a good internet connection to access the labs.
We would always recommend you attend the live session to practice & clarify the doubts instantly & get more value from your investment. However, if, due to some contingency, you have to skip the class, Radiant Techlearning will help you with the recorded session of that particular day. However, those recorded sessions are not meant only for personal consumption & NOT for distribution or any commercial use.
Radiant Techlearning has a data center containing a Virtual Training environment for the purpose of professional hand-on-practice.
Professionals can easily access these labs over Cloud with the help of a remote desktop connection.
Radiant virtual labs provide you the flexibility to learn from anywhere in the world & in any time zone.
The professionals will be enthralled as we engage them the real-world & industry Oriented projects during the training program. These projects will improve your skills & knowledge & you will gain a better experience. These real-time projects will help you a lot in your future tasks & assignments.