Complete Docker And Kubernetes + Hands On Devops

Build, test, and deploy Docker applications with Kubernetes while learning production-style development workflows

What you'll learn

How to use Docker, Compose and Kubernetes on your machine for better software building and testing.

Learn Docker and Kubernetes official tools from an award-winning Docker Captain!

Build Docker images using Dockerfiles with Hands-On Exercises

Learn Kubernetes and cluster tools from an award-winning Docker Captain!

Requirements

Beginner Kubernetes students that want to learn the latest features and patterns for container orchestration

Description

Docker is an open platform for developers and sysadmins to build, ship, and run distributed applications, whether on laptops, data center VMs, or the cloud.This course introduces Docker to an Absolute Beginner using really simple and easy to understand lectures. Lectures are followed by demos showing how to setup and get started with Docker. The coding exercises that accompany this course will help you practice Docker commands and developing your own images using Dockerfiles and practice Docker Compose. You will be developing Docker files for different use cases right in your browser. This way you don’t really need to have your own environment setup to get some hands on practice. The coding exercises will validate your commands and Dockerfiles and ensure you have written them correctly.And finally we have assignments to put your skills to test. You will be given a challenge to solve using the skills you gained during this course. This is a great way to gain a real life project experience and work with the other students in the community to develop a Dockerfile and get feedback for your work. The assignment will push you to research and develop your own Docker images.What is this course about:This course covers all the fundamentals about Docker software and teach you everything you need to know about developing and deploying modern applications with Docker software.In the end of this course, you will gain in-depth knowledge about Docker software and general DevOps skills to help your company or your own project to apply the right docker workflow and continuously deliver better software.What will you learn from this course:In particularly, you will learn:Containerize a web-based application with a micro-service approach and automate it using Dockerfile.Design multi-container applications and automate the workflow using Compose.Scale Docker workflow with Docker Swarm, orchestrate and deploy a large-scale application across multiple hosts in the cloud.Best practices of working with Docker software in the field.In-depth knowledge about Docker software and confidence to help your company or your own project to apply the right Docker deployment workflow and continuously deliver better software.Invaluable DevOps skills such as setting up continuous integration pipelines.Why shall we learn Docker technologies:Docker software is on the bleeding edge of technology today. It is also one of the most compelling technologies of the last decade in terms of its disruption to software development, operations, systems architecture, testing and compliance practices.Docker is becoming a must tool for developers. containers and the Docker’s approach gives you the opportunity to work without any need of dependencies. Docker allows developers to focus on the things which actually matters without worrying about the environment where the application runs.Tons of companies are using docker in production, today you have the access to that same virtualization technology right on your desktop.About the author:In the past, Shiva K worked at many companies such as Amazon and Google. Now Shiva K is working at one of the top Silicon Valley startups specializing big data analysis.During the past two years, Shiva K has been leading his team to dockerize their old monolithic applications with a micro-service approach.Why DevOps skills?Nowadays DevOps engineers are in great demand in the IT industry. Companies are looking for developers who can both develop and deploy the applications.The average salary of a DevOps engineer is about $140,000 per year in Silicon Valley area which is 20% higher than the salary of a software engineer.Master DevOps Skills means you will be staying ahead in the competitive job market!Why choosing this course?This course is very hands on, Shiva K has put lots effort to provide you with not only the theory but also real-life examples of developing Docker applications that you can try out on your own laptop.Shiva K has uploaded all the source code to Github and you will be able to follow along with either windows, MAC OS or Linux.In the end of this course, Shiva K is confident that you will gain in depth knowledge about Docker and general DevOps skills to help your company or your own project to apply the right docker workflow and continuously deliver better software.Legal Notice:Docker and the Docker logo are trademarks or registered trademarks of Docker, Inc. in the United States and/or other countries. Docker, Inc. and other parties may also have trademark rights in other terms used herein. This course is not certified, accredited, affiliated with, nor endorsed by Docker, Inc.

Overview

Section 1: Introduction

Lecture 1 Docker Session 1 by Shiva

Lecture 2 Docker Session 2 by Shiva

Lecture 3 Docker Session 3 by Shiva

Lecture 4 Docker Session 5 by Shiva

Lecture 5 Docker Session 4 by Shiva

Lecture 6 Docker Session 6 by Shiva

Lecture 7 Docker Session 7 by Shiva

Lecture 8 Docker Session 8 by Shiva

Lecture 9 Docker Session 9 by Shiva

Lecture 10 Docker Session 10 by Shiva

Lecture 11 Docker Session 11 by Shiva

Lecture 12 Docker Session 12 by Shiva

Lecture 13 Docker Session 13 by Shiva

Lecture 14 Docker Session 14 by Shiva

Lecture 15 Docker Session 15 by Shiva

Lecture 16 Docker Session 16 by Shiva

Lecture 17 Docker Session 17 by Shiva

Lecture 18 Docker Session 18 by Shiva

Lecture 19 Docker Session 19 by Shiva

Lecture 20 Docker Session 20 by Shiva

Sysadmins, developers, and operators that know some Docker, and want to start using multi-server orchestration,Anyone who makes, deploys, or operates software on servers, that already knows container basics