Docker & Kubernetes: The Complete Practical Guide

Docker & Kubernetes: The Complete Practical Guide, available at $94.99, has an average rating of 4.7, with 246 lectures, based on 1055 reviews, and has 22357 subscribers.

You will learn about How to use Docker images and create Containers Manage Docker containers: start, stop, prune, restart Enable port mapping and expose container ports to outside Run Node and Python applications using Docker Containers Create environment variables for Docker containers Use volumes mapping and use specific working directories in the Docker containers Create custom bridge networks and run multiple containers Communicate between containers by container name in the custom bridge network This course is ideal for individuals who are Any software developers It is particularly useful for Any software developers.

Enroll now: Docker & Kubernetes: The Complete Practical Guide

Summary

Title: Docker & Kubernetes: The Complete Practical Guide

Price: $94.99

Average Rating: 4.7

Number of Lectures: 246

Number of Published Lectures: 246

Number of Curriculum Items: 246

Number of Published Curriculum Objects: 246

Original Price: $119.99

Quality Status: approved

Status: Live

What You Will Learn

How to use Docker images and create Containers
Manage Docker containers: start, stop, prune, restart
Enable port mapping and expose container ports to outside
Run Node and Python applications using Docker Containers
Create environment variables for Docker containers
Use volumes mapping and use specific working directories in the Docker containers
Create custom bridge networks and run multiple containers
Communicate between containers by container name in the custom bridge network

Who Should Attend

Any software developers

Target Audiences

Any software developers

This course is all about Docker and Kubernetes

Understand HOW Docker and Kubernetes work and learn their core features ON PRACTICE. This is 90% practice course without no useless demos!

Learn how to create different containers like Node.js, Python, WordPress, MongoDB, MySQL, Redis, Elasticsearch and much more.

Become a master of Docker and Kubernetes by understanding and practicing their main features.

All project files are available in the GitHub repository.

We will start by installing Docker on your computer – MacOS, Windows or Linux. On MacOS and Windows you will install Docker Desktop, on Linux you will install Docker Engine.

Afterwards we will jump into tons of practice activities and use different Docker features. You will pull different docker images and run multiple containers using them.

In practice sections you will perform multiple practice Docker activities:

Run Docker containers in foreground and background
Connect to certain process in the Docker from the Terminal
Expose internal container ports to outside
Add environment variable for container
Create custom names and hostnames for container
Create custom bridge network and run multiple containers inside of it
Communicate between containers
Persist containers folders using volumes mapping

You will also learn and practice how to use following Docker images

Ubuntu
Alpine, Busybox
Node.js
Python
MongoDB
MySQL, phpMyAdmin
NGINX
WordPress
Elasticsearch
Redis
Httpd

During the course you will need to view and edit text files. For that you will NOT use terminal. Instead you will use GUI application VisualStudio Code. Also all project files are available in the GitHub repository. This means that during this course you will also learn how to use

Git and GitHub
VisualStudio Code

With this course you will get lifetime-long access to more than 50 lectures and tens of practical exercises. After the course you will get fundamental practical knowledge of Docker and be able to easily use it for development and testing of your applications.

But most important is that you will UNDERSTAND Docker main features like

Docker Volumes
Docker Networking
Environment Variables

Also you will UNDERSTAND Kubernetes main features like

Pods
Nodes
Cluster
Services

You will also get 30-days money-back guarantee. No questions asked!

Don’t wait and join the course now!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Course introduction

Lecture 2: Let's get connected! Join the Learning Community

Lecture 3: GitHub Repository for the Docker course

Lecture 4: IMPORTANT Course Structure

Chapter 2: Docker Installation

Lecture 1: CHAPTER 1 – Installing Docker Desktop on Mac

Lecture 2: Installing Docker Desktop on Windows

Lecture 3: Installing Docker Engine on Linux

Chapter 3: Basic Docker Containers (Ubuntu, Busybox, Alpine)

Lecture 1: Running hello-world container

Lecture 2: Running Ubuntu container

Lecture 3: Running Busybox container

Lecture 4: Alpine vs Busybox images

Chapter 4: Port and Volume Mapping in the Docker Containers

Lecture 1: Running Nginx with exposed port

Lecture 2: Nginx container with custom content

Lecture 3: Adding favicon to the project

Lecture 4: WINDOWS: using path variable

Lecture 5: Using path variable in volume mapping

Chapter 5: Docker Containers Management (Ubuntu, NGINX)

Lecture 1: Running containers in background

Lecture 2: Running container with Pseudo TTY

Lecture 3: Creating multiple Ubuntu containers from the same image

Lecture 4: Running multiple Nginx servers

Lecture 5: Cleaning up stopped containers

Chapter 6: Running Python Applications in Docker

Lecture 1: Creating Python containers

Lecture 2: Simple Python program

Lecture 3: CHALLENGE Simple Python calendar app

Lecture 4: CHALLENGE SOLUTION Simple Python calendar app

Chapter 7: Running Node.js Applications in Docker

Lecture 1: Running Node.js container

Lecture 2: Hello world application with Node

Lecture 3: Express web server using Node

Lecture 4: Add handling of the SIGINT and SIGTERM signals

Lecture 5: CHALLENGE Create files handling Node app

Lecture 6: CHALLENGE SOLUTION Create files handling Node app

Lecture 7: Conclusion – containers can create and modify external files

Chapter 8: Running MongoDB Containers

Lecture 1: Pulling Mongo image and creating first Mongo container

Lecture 2: Starting additional processes in the running container

Lecture 3: What is entrypoint and where is it located

Lecture 4: Creating new Mongo database using Mongo shell

Lecture 5: Running Mongo container with persistent database

Chapter 9: Communication between Containers and Environment Variables (MySQL, phpMyAdmin)

Lecture 1: Starting WordPress container

Lecture 2: Plan for the next lectures – networks and environment variables

Lecture 3: Default bridge network and communication between containers

Lecture 4: Exploring environment variables

Lecture 5: Starting MySQL container with env variable

Lecture 6: Launching another phpMyAdmin container

Lecture 7: Connecting phpMyAdmin to MySQL container

Lecture 8: Making notes of the commands

Chapter 10: Default and Custom Bridge Networks in Docker (WordPress, MySQL)

Lecture 1: Communication using hostnames in the default bridge network

Lecture 2: Inspecting default bridge network

Lecture 3: Creating new custom bridge network

Lecture 4: Creating busybox containers in the custom network

Lecture 5: Using custom persistent names for connectivity in the custom network

Lecture 6: MySQL and phpMyAdmin in the custom network

Lecture 7: CHALLENGE WordPress with MySQL and phpMyAdmin

Lecture 8: CHALLENGE SOLUTION WordPress with MySQL and phpMyAdmin – PART 1

Lecture 9: CHALLENGE SOLUTION WordPress with MySQL and phpMyAdmin – PART 2

Lecture 10: Summary for the WordPress and MySQL setup

Chapter 11: Additional Containers – Elasticsearch, Redis, Httpd

Lecture 1: Getting docker image with curl utility

Lecture 2: CHALLENGE Run Elasticsearch and curl containers in the custom network

Lecture 3: CHALLENGE SOLUTION Run Elasticsearch and curl containers in the custom network

Lecture 4: Inserting documents into Elasticsearch index

Lecture 5: Starting Redis container

Lecture 6: CHALLENGE Redis and Redis-commander

Lecture 7: CHALLENGE SOLUTION Redis and Redis-commander

Lecture 8: Launching httpd container

Chapter 12: CHAPTER 2 – Docker on Practice Summary and Intro to the Docker Fundamentals

Lecture 1: Docker Fundamentals Practical section summary

Lecture 2: Introduction to the Docker Fundamentals Chapter

Chapter 13: What is Docker and Docker Components

Lecture 1: Virtual Machines vs Docker Containers

Lecture 2: Virtual Machines Architecture

Lecture 3: How I use Virtual Machines

Lecture 4: My computer just ran out of memory

Lecture 5: Docker Containers Architecture

Lecture 6: How Docker is running on different Operating Systems

Lecture 7: Container Processes and Resources

Lecture 8: Docker Components Overview

Lecture 9: Docker Client

Lecture 10: Docker Server

Lecture 11: Docker Host

Lecture 12: Docker Image

Lecture 13: Docker Container

Lecture 14: Docker Repository

Lecture 15: Docker Registry

Lecture 16: Docker Components Summary

Chapter 14: Introduction to the Images and Containers

Lecture 1: Docker Commands vs Management Commands

Lecture 2: Alternative Commands

Lecture 3: Basic Container and Images commands

Lecture 4: Cleaning up my Docker setup

Lecture 5: Pulling images from the Docker Hub

Instructors

Bogdan Stashchuk | Software Engineer, MBA, PhD
Just keep learning – stashchuk

Rating Distribution

1 stars: 6 votes
2 stars: 8 votes
3 stars: 61 votes
4 stars: 289 votes
5 stars: 691 votes

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