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Kubernetes for App Developers

2 Day Course
Hands On
Official The Linux Foundation Curriculum
Code LFD459

Book Now - 2 Delivery Methods Available:

Classroom Virtual Classroom Private Group - Virtual Self-Paced Online

Overview

This course will teach you how to containerize, host, deploy, and configure an application in a multi-node cluster. Starting with a simple Python script, you will define application resources and use core primitives to build, monitor and troubleshoot scalable applications in Kubernetes. Working with network plugins, security and cloud storage, you will be exposed to many of the features needed to deploy an application in a production environment.

The topics covered are directly aligned with the knowledge domains tested by the Cloud Native Computing Foundation Certified Kubernetes Application Developer (CKAD) Program, and will substantially increase students’ ability to become certified.

Objectives

  • Containerize and deploy a new Python script
  • Configure the deployment with ConfigMaps, Secrets and SecurityContexts
  • Understand multi-container pod design
  • Configure probes for pod health
  • Update and roll back an application
  • Implement services and NetworkPolicies
  • Use PersistentVolumeClaims for state persistence
View detailed Course Modules

Additional Information

This course is designed to be vendor- and distribution-neutral, so you will be able to apply these concepts universally.

Modules

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Introduction (8 topics)

  • Objectives
  • Who You Are
  • The Linux Foundation
  • Linux Foundation Training
  • Certification Programs and Digital Badging
  • Preparing Your System
  • Course Registration
  • Labs

Kubernetes Architecture (18 topics)

  • What Is Kubernetes?
  • Components of Kubernetes
  • Challenges
  • The Borg Heritage
  • Kubernetes Architecture
  • Terminology
  • Master Node
  • Minion (Worker) Nodes
  • Pods
  • Services
  • Controllers
  • Single IP per Pod
  • Networking Setup
  • CNI Network Configuration File
  • Pod-to-Pod Communication
  • Cloud Native Computing Foundation
  • Resource Recommendations
  • Labs

Build (10 topics)

  • Container Options
  • Containerizing an Application
  • Hosting a Local Repository
  • Creating a Deployment
  • Running Commands in a Container
  • Multi-Container Pod
  • readinessProbe
  • livenessProbe
  • Testing
  • Labs

Design (12 topics)

  • Traditional Applications: Considerations
  • Decoupled Resources
  • Transience
  • Flexible Framework
  • Managing Resource Usage
  • Multi-Container Pods
  • Sidecar Container
  • Adapter Container
  • Ambassador
  • Points to Ponder
  • Jobs
  • Labs

Deployment Configuration (18 topics)

  • Volumes Overview
  • Introducing Volumes
  • Volume Spec
  • Volume Types
  • Shared Volume Example
  • Persistent Volumes and 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 and Rolling Updates
  • Deployment Rollbacks
  • Labs

Security (14 topics)

  • Security Overview
  • Accessing the API
  • Authentication
  • Authorization
  • ABAC
  • RBAC
  • RBAC Process Overview
  • Admission Controller
  • Security Contexts
  • Pod Security Policies
  • Network Security Policies
  • Network Security Policy Example
  • Default Policy Example
  • Labs

Exposing Applications (12 topics)

  • 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
  • Labs

Troubleshooting (13 topics)

  • Troubleshooting Overview
  • Basic Troubleshooting Steps
  • Ongoing (Constant) Change
  • Basic Troubleshooting Flow: Pods
  • Basic Troubleshooting Flow: Node and Security
  • Basic Troubleshooting Flow: Agents
  • Monitoring
  • Logging Tools
  • Monitoring Applications
  • System and Agent Logs
  • Conformance Testing
  • More Resource
  • Labs

Prerequisites

To get the most out of this course, you should have basic Linux command line and file editing skills and be familiar with using a programming language (such as Python, Node.js, Go). A knowledge of Cloud Native application concepts and architectures (such as is taught in our free Introduction to Kubernetes edX MOOC) is helpful for this course.

Scheduled Dates

Please select from the dates below to make an enquiry or booking.

Pricing

Different pricing structures are available including special offers. These include early bird, late availability, multi-place, corporate volume and self-funding rates. Please arrange a discussion with a training advisor to discover your most cost effective option.

Code Location Duration Price Sep Oct Nov Dec Jan Feb
LFD459
Virtual Classroom (Virtual On-Line)
3 Days $2,655
Next 6 Months
Linux Training Courses

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