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Udemy

Docker & Kubernetes: The Complete Practical Guide

via Udemy

Overview

Complete Docker and Kubernetes Course - learn all core Docker features including Dockerfiles and Docker Compose

What you'll 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

This course is all about Docker and Kubernetes

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

This course requires you to download Docker Desktop from the official Docker website. If you are a Udemy Business user, please check with your employer before downloading software.

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:

  1. Run Docker containers in foreground and background

  2. Connect to certain process in the Docker from the Terminal

  3. Expose internal container ports to outside

  4. Add environment variable for container

  5. Create custom names and hostnames for container

  6. Create custom bridge network and run multiple containers inside of it

  7. Communicate between containers

  8. Persist containers folders using volumes mapping

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

  1. Ubuntu

  2. Alpine, Busybox

  3. Node.js

  4. Python

  5. MongoDB

  6. MySQL, phpMyAdmin

  7. NGINX

  8. Wordpress

  9. Elasticsearch

  10. Redis

  11. 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!

Syllabus

  • Introduction
  • Docker Installation
  • Basic Docker Containers (Ubuntu, Busybox, Alpine)
  • Port and Volume Mapping in the Docker Containers
  • Docker Containers Management (Ubuntu, NGINX)
  • Running Python Applications in Docker
  • Running Node.js Applications in Docker
  • Running MongoDB Containers
  • Communication between Containers and Environment Variables (MySQL, phpMyAdmin)
  • Default and Custom Bridge Networks in Docker (Wordpress, MySQL)
  • Additional Containers - Elasticsearch, Redis, Httpd
  • CHAPTER 2 - Docker on Practice Summary and Intro to the Docker Fundamentals
  • What is Docker and Docker Components
  • Introduction to the Images and Containers
  • CHAPTER 3 - Getting started with Linux
  • Processes in Linux
  • Data Streams and Piping in Linux
  • Files and Directories Management in Linux
  • Search operations in Linux
  • Compressing and Sorting in Linux
  • User Management and Permissions in Linux
  • Executable Files and Scripting in Linux
  • Networking in Linux
  • Environment Variables in Linux
  • CHAPTER 4 - Launching Course Project application without Docker
  • Building custom images using Dockerfiles
  • Launching multiple services using Docker Compose
  • Exploring Docker Compose Setup
  • Kubernetes for Beginners Introduction
  • Kubernetes Overview
  • Minikube Installation
  • Kubernetes Cluster
  • Kubernetes Pod Creation
  • Kubernetes Deployment Creation
  • Kubernetes Service Creation
  • Kubernetes Deployment and Service Deletion
  • Running Node.js Application using K8S
  • Rolling Updates and Pods Recovery
  • Kubernetes Dashboard
  • Kubernetes YAML Specification Files
  • Kubernetes Multiple Deployments Creation
  • Interaction between Deployments
  • Kubernetes CRI-O Container Runtime
  • Kubernetes Summary
  • Docker and Kubernetes Course Summary

Taught by

Bogdan Stashchuk

Reviews

4.8 rating at Udemy based on 1302 ratings

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