Docker and Kubernetes Fundamentals Virtual Classroom Live October 07, 2026

Price: $2,000

This course runs for a duration of 3 Days.

The class will run daily from 10 AM ET to 6 PM ET.

Class Location: Virtual LIVE Instructor Led - Virtual Live Classroom.

Enroll today to reserve your spot!

Space is limited. Enroll today.

Description

This intensive Docker and Kubernetes training course offers a combination of theoretical concepts as well as real-world hands-on labs, giving students the opportunity to apply their knowledge. The course covers essential Kubernetes and Docker skills and provides a basic introduction to Continuous Integration.

Skills Gained

Learn the fundamental uses of container technology and the architectural principles of how to apply containers to technical challenges.
Create containers with both packaged solutions and custom software.
Use the Docker and Kubernetes CLI environments to deploy solutions in local (Docker) and cluster (Kubernetes) environments.
Learn how stateful services – such as databases, streaming solutions , and other specialty applications – can be deployed in highly-available configurations with redundancy and service-discovery/load-balancing.
Show how other components – can be used to integrate services within the Kubernetes platform.
Explore how Docker and technologies such as Jenkins can be used to continuously test and build containers based on changes to source code.

Course Overview

Chapter 1. Docker and Linux Container Technology: Introduction and Use-Cases

Modern Infrastructure Terminology
Virtualization
Hypervisors
Hypervisor Types
Type 1 Hypervisors
Type 2 Hypervisors
Type 1 vs Type 2 Processing
Paravirtualization
Virtualization Qualities (1/2)
Virtualization Qualities (2/2)
Disadvantages of Virtualization
Containerization
Virtualization vs Containerization
Where to Use Virtualization and Containerization
Containerization: High-Level
Popular Containerization Systems
What are Linux Containers
Docker
OpenVZ
Solaris Zones (Containers)
Container Orchestration Tools
Docker Swarm
Kubernetes
Mesos and Marathon
Mesos and Marathon (contd.)
Docker Use-Cases
Microservices
Microservices and Containers / Clusters

Chapter 2. Docker in Action

Docker Basics
Where Can I Run Docker?
Installing Docker Container Engine
Docker Toolbox
What is Docker?
Docker Architecture
Docker Architecture Diagram
Docker Images
Docker Containers
Docker Integration
Docker Services
Docker Application Container Public Repository
Docker Run Command
Starting, Inspecting, and Stopping Docker Containers
Docker Volume
Dockerfile
Docker Compose
Using Docker Compose
Dissecting docker-compose.yml
Specifying services
Dependencies between containers
Injecting Environment Variables

Chapter 3. Managing Docker State

State and Data in Docker
Volumes
More About Volumes
Uses for Volumes
Working With Volumes
Create Volume
Use Volumes with Containers
Bind Mounts
Using Bind Mounts
tmpfs Mounts
Storing Data in the Container
Storage Drivers
Remote Data Storage
Networking
The Default Bridge Network
User-Defined Bridge Networks
Docker Network Commands
Creating a User-Defined Bridge Network

Chapter 4. Open Container Initiative and Container Runtime Interface

Open Container Initiative (OCI)
Docker
Docker Engine Architecture
runC
containerd
containerd Benefits
CRI-O
CRI-O Components
Kubernetes and CRI-O
Using Container Runtimes with Minikube
Docker Runtime and Kubernetes
Putting Things Together

Chapter 5. Kubernetes Architecture

Kubernetes Basics
What is Kubernetes?
Container Orchestration
Architecture Diagram
Components
Kubernetes Cluster
Master Node
Kube-Control-Manager
Nodes
Pod
Using Pods to Group Containers
Label
Label Syntax
Label Selector
Annotation
Persistent Storage
Resource Quota
Interacting with Kubernetes

Chapter 6. Working with Kubernetes

Installation
Startup
Kubernetes Tools
kubectl Command Line Interface
API Proxy
Dashboard
Kubernetes Component Hierarchy
Deployments
Deployment Commands
Updating Deployments
Network Considerations
Services
Namespaces
Labels
Annotations
Other Useful Commands

Chapter 7. Kubernetes Workload

Kubernetes Workload
Managing Workloads
Imperative commands
Imperative Object Configuration
Declarative Object Configuration
Configuration File Schema
Understanding API Version
Obtaining API Versions
Stateless Applications
Sample Deployment Manifest File
Working with Deployments
Stateful Applications
Sample Stateful Manifest File
Working with StatefulSet
Jobs
Sample Job Manifest File
Working with Batch Job
DaemonSets
Sample Daemon Manifest File
Rolling Updates

Chapter 8. Scheduling and Node Management

Kubernetes Scheduler
Skip Kubernetes Scheduler
Scheduling Process
Scheduling Process - Predicates
Scheduling Process - Priorities
Scheduling Algorithm
Kubernetes Scheduling Algorithm
Scheduling Conflicts
Controlling Scheduling
Label Selectors
Node Affinity and Anti-affinity
Node Affinity Example
Node Antiaffinity Example
Taints and Tolerations
Taints and Tolerations - Example

Chapter 9. Managing Networking

Kubernetes Networking Components
The Kubernetes Network Model
Networking Scenarios
Container-Container Communication
Pod-Pod Communication
1.3 Pod-Service Communication
External-Service Communication
Accessing Applications
Useful Commands
Container Network Interface (CNI)
What is CNI’s Role?
CNI Configuration Format
Sample CNI Configuration
Running the CNI Plugins

Chapter 10. Managing Persistent Storage

Storage Methods
Container OS file system storage
Docker Volumes
Kubernetes Volumes
K8S Volume Types
Cloud Resource Types
configMaps
Creating configMaps from Literals
Creating configMaps from files
Using configMaps
emptyDir
Using an emptyDir Volume
Other Volume Types
Persistent Volumes
Creating a Volume
Persistent Volume Claim
Persistent Volume
Pod that uses Persistent Volume
Secrets
Creating Secrets from Files
Creating Secrets from Literals
Using Secrets
Security Context
Security Context Usage

Chapter 11. Working with Helm

What is Helm?
Installing Helm
Helm and KUBECONFIG
Helm Features
Helm Terminology
Searching for Charts with helm CLI
Adding Repositories
Helm Hub - Search
Helm Hub - Chart Page
Installing a Chart
Upgrading a Release
Rolling Back a Release
Creating Custom Charts
Common Chart Files
Helm Templates
Installing A Custom Chart
Packaging Custom Charts

Chapter 12. Logging, Monitoring, and Troubleshooting

Differences Between Logging and Monitoring
Logging in Kubernetes
Basic Logging
Logging Agents
Fluentd and Elastic Stack
Monitoring with Prometheus
Kubernetes and Prometheus - Metrics
Alerting
Debugging Pods
Debugging Nodes
Debugging Replication Controllers and Services
Upgrading Kubernetes
Upgrade Process
Determine Which Version to Upgrade To
Upgrade kubeadm
Upgrade Control Plane Node
Upgrade kubelet and kubectl
Upgrade Worker Nodes
Recovering From a Failure State

Chapter 13. Continuous Integration Fundamentals

Jenkins Continuous Integration
Jenkins Features
Running Jenkins
Downloading and Installing Jenkins
Running Jenkins as a Stand-Alone Application
Running Jenkins on an Application Server
Installing Jenkins as a Windows Service
Different types of Jenkins job
Configuring Source Code Management(SCM)
Working with Subversion
Working with Git
Build Triggers
Schedule Build Jobs
Polling the SCM
Maven Build Steps
Configuring Jenkins to Access Kubernetes
Jenkins Pipeline
Jenkins Pipeline Output
Installing Jenkins Plugins

Lab Exercises

Lab 1. Creating a Docker Account and Obtain an Access Token
Lab 2. Managing Containers
Lab 3. Building Images
Lab 4. Dockerfiles
Lab 5. Getting Started with Docker Compose
Lab 6. Docker Volumes
Lab 7. Custom Network Management
Lab 8. Configuring Minikube/Kubernetes to Use a Custom Docker Account
Lab 9. Accessing the Kubernetes API
Lab 10. Working with Kubernetes Workloads
Lab 11. Scheduling and Node Management
Lab 12. Accessing Applications
Lab 13. Using Persistent Storage
Lab 14. Getting Started with Helm
Lab 15. Build CI Pipeline with Jenkins

Prerequisites

Proficiency with the Linux Command Line Interface (CLI)
Broad understanding of Linux system administration: Linux file system, networking, and bash scripting.
Computer programming concepts and methodologies. Full code examples for the course are provided in the Python and Java programming languages.

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