Course Description
This training will teach you how to containerize, host, deploy, & configure an application in a multi-node cluster. It also serves as preparation for the Certified Kubernetes Application Developer (CKAD) exam.
Prerequisites
To get the most out of this training, you should have the following:
Basic Linux command line & file editing skills & be familiar with using a programming language (such as Python, Node.js, Go). Knowledge of Cloud Native application concepts & architectures (such as is taught in our free Introduction to Kubernetes edX MOOC) is helpful for this training.
Please note Kubernetes Administration (LFS458) is not a prerequisite for this training. There is overlap in the training materials as each one is designed to stand alone & aligns with the related exams.
Target Audience
This training is for experienced application developers who need to containerize, host, deploy, & configure an application in a multi-node cluster.
Learning Objectives
Starting with a simple Python script, this training will show you how to define application resources & use core primitives to build, monitor & troubleshoot scalable applications in Kubernetes. Working with network plugins, security & Cloud storage, you will be exposed to many of the features needed to deploy an application in a production environment.
Content Outline
- Objectives
- Who You Are
- The Linux Foundation
- Linux Foundation Training
- Certification Programs & Digital Badging
- Platform Details
- What Is Kubernetes?
- Components of Kubernetes
- Challenges
- The Borg Heritage
- Kubernetes Architecture
- Terminology
- Control Plane Node
- Worker Nodes
- Pods
- Services
- Operators
- Single IP per Pod
- Networking Setup
- CNI Network Configuration File
- Pod-to-Pod Communication
- Cloud Native Computing Foundation
- Resource Recommendations
- Labs
- Container Options
- Containerizing an Application
- Creating the Dockerfile
- Hosting a Local Repository
- Creating a Deployment
- Running Commands in a Container
- Multi-Container Pod
- readinessProbe
- livenessProbe
- startupProbe
- Testing
- Helm
- Labs
- Traditional Applications: Considerations
- Decoupled Resources
- Transience
- Flexible Framework
- Managing Resource Usage
- Using Label Selectors
- Multi-Container Pods
- Sidecar Container
- Adapter Container
- Ambassador
- initContainer
- Custom Resource Definitions
- Points to Ponder
- Jobs
- Labs
- Volumes Overview
- Introducing Volumes
- Volume Spec
- Volume Types
- Shared Volume Example
- Persistent Volumes & Claims
- Persistent Volume
- Persistent Volume Claim
- Dynamic Provisioning
- Secrets
- Using Secrets via Environment Variables
- Mounting Secrets as Volumes
- Portable Data with ConfigMaps
- Using ConfigMaps
- Deployment Configuration Status
- Scaling & Rolling Updates
- Deployment Rollbacks
- Labs
- Security Overview
- Accessing the API
- Authentication
- Authorization
- RBAC
- RBAC Process Overview
- Admission Controller
- Security Contexts
- Pod Security Policies
- Pod Security Standards
- Network Security Policies
- Network Security Policy Example
- Default Policy Example
- Labs
- Service Types
- Services Diagram
- Service Update Pattern
- Accessing an Application with a Service
- Service without a Selector
- ClusterIP
- NodePort
- LoadBalancer
- ExternalName
- Ingress Resource
- Ingress Controller
- Service Mesh
- Labs
- Troubleshooting Overview
- Basic Troubleshooting Steps
- Ongoing (Constant) Change
- Basic Troubleshooting Flow: Pods
- Basic Troubleshooting Flow: Node & Security
- Basic Troubleshooting Flow: Agents
- Monitoring
- Logging Tools
- Monitoring Applications
- System & Agent Logs
- Conformance Testing
- More Resource
- Labs
Evaluation Survey
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.