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Docker Crash Course for busy DevOps and Developers

Learn how to develop and deploy web applications with Docker technologies. Take your DevOps skills to the next level.

Created byTao W., Level Up, James Lee, Jiarui Zhou

Last updated 8/2018

English

German [Auto],English [Auto],

What you'll learn

Containerize a web-based application with a microservice 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 technology in the field
In-depth knowledge about Docker technology 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 workflows
And much much more...

Course content

7 sections • 49 lectures • 3h 14m total length

Course Overview: Welcome to the Docker Technology World4:09
Explore virtualization concepts, Docker architecture, and practical workflows to install, build, run, and manage containers and images with Dockerfile instructions, Docker registries and repositories, and Docker Hub.
How to Take this Course and How to Get Support1:20
Learn how to take this course and get support via the Q&A page and Facebook group, with GitHub source code and copy-paste commands for hands-on practice.
Text Lecture: How to Take this Course and How to Get Support0:01
Course Slides0:04
Introduction to Virtualization Technologies8:35
Explore how container-based virtualization, led by Docker, differs from hypervisor-based virtualization by sharing a single kernel across containers, enabling runtime isolation, faster deployment, cost savings, and portable apps across clouds.
Docker Software's Client-Server Architecture1:36
Explore Docker's client-server architecture with the daemon building and running containers. Interact via the cli or Kitematic, and note Linux hosts differ from OS X or Windows with Docker machines.
Install Docker for Mac/Windows4:39
Step by step instructions to install docker on your local machine.
Install Docker Toolbox4:33
Install Docker Toolbox on Mac or Windows to run Docker through a virtual machine in VirtualBox, using Docker client, Docker Machine, Docker Compose, Kitematic, and Quickstart Terminal.
Important Concepts of Docker Technology4:50
In this lecture, we will get a conceptual understanding of some important Docker terminologies such as images, containers, registry and repositories.
Run Our First Hello World Docker Container5:53
We will start our first Docker workflow: pull an image from Docker Hub, create and run a container from the image.
Deep Dive into Docker Containers5:01
In this lecture, we are going to deep dive into Docker containers. We will learn how to run containers in detached mode, how to use docker ps and docker inspect command, and how to specify docker container names.
Docker Port Mapping and Docker Logs Command3:42
Learn how to map container ports to host ports and use docker logs command.
Extra Learning: Deep Dive into Docker Logging0:01

Docker Image Layers2:17
Images are made up of layers. In this lecture, we will give an instruction to docker image layers.
Build Docker Images by using Docker Commit Command5:08
Learn how to create a Docker image by committing changes made in a container.
Build Docker Images by Writing Dockerfile7:22
Learn how to build Docker images by writing Docker files.
Dockerfile In-depth8:03
We will learn more Docker file instructions such as CMD, COPY and ADD, and the best practices to write Docker files. We will also cover how to take advantage of Docker cache to reduce build time and how to avoid aggressive caching.
Push Docker Images to Docker Hub4:43
Learn how to tag images and push images to Docker hub.

Containerize a Simple Hello World Web Application9:48
Containerize a simple hello world web app using Python and Flask with Docker, including a Docker file, building, running, and exposing via port 5000 while emphasizing non-privileged security practices.
Text Direction: Containerize a Hello World Web Application0:02
Implement a Simple Key-value Lookup Service8:26
In this lecture, we will turn our hello world application into a simple key value lookup web app. We will start with implementing this key value lookup web app as a single service. Then, we would look into splitting this application into two small services and run them in two different containers and we will see how this naturally leads to a micro-service approach.
Create Docker Container Links5:31
We will see how to create docker links between the Redis container and our Docker app container and we will talk about how container link works behind the scenes.
Automate Current Workflow with Docker Compose7:24
Learn how to automate your Docker Compose workflow by defining services in a docker-compose.yml, specifying builds, ports, dependencies, and running all containers with one command.
Deep Dive into Docker Compose Workflow5:12
We will learn more about Docker compose workflows and introduce compose commands such as docker compose logs and docker compose build.
Extra Learning: Things to Watch out When Working with Docker Containers0:02

Introduction to Docker Networking2:02
Explore docker container networking, including the default bridge model and the four network types: none, bridge, host, and overlay. Create user-defined networks and list existing ones with docker network ls.
None Network2:59
Learn how the none network creates a closed, fully isolated container with no external connectivity, using docker run --net none, validating isolation with ifconfig and ping.
Bridge Network8:30
Learn how the default bridge network in Docker connects containers on the same host, enabling inter-container communication and outside access, and how to create or connect to custom bridge networks.
Host Network and Overlay Network3:06
Explain host network and overlay network models, noting host networks lack isolation but offer higher performance, while overlay networks enable multi-host networking via swarm mode or a key-value store.
D3: Text Lecture: Overlay Network
Define Container Networks with Docker Compose3:31
Define container networks with docker compose by moving from the default bridge network to custom networks via the top level networks key and service level networks, enabling isolation across services.

Write and Run Unit Tests inside Containers3:55
We will see how we can write some unit tests for our application and run those tests inside a container.
Introduction to Continuous Integration6:54
In this lecture, we will introduce what is a continuous integration pipeline and how Docker workflow fits into it. Then we will configure our Github account for setting up a continuous integration pipeline.
Text Direction: Introduction to Continuous Integration0:09
Link CircleCI with Github Account for Setting up a CI Workflow9:36
Link CircleCI to your GitHub repo to configure a CI workflow with a CircleCI config.yml, run tests in Docker containers, and auto-trigger builds on commits.
Push Docker Images To DockerHub from CircleCI7:26
Publish a built docker image to docker hub from circleci by using circleci environment variables for credentials and tagging with git hash and latest before pushing.
Trouble Shooting: Push Docker Images to Docker Hub0:16

Introduction to Running Docker Containers in Production4:32
Assess Docker in production, weighing readiness and concerns around data persistence, networking, and security. Learn to deploy containers on virtual machines with Docker Machine and explore cloud options.
Register Digital Ocean Account for Deploying Containerized Applications3:15
Register a Digital Ocean account and verify email to deploy your app, redeem a free coupon, and generate a personal access token to provision a droplet via the API.
Deploy Docker Application to the Cloud with Docker Machine5:44
deploy a Docker app to the cloud with Docker machine, provision a DigitalOcean VM, update Docker Compose to use the latest image, and bring up services.
Text Direction: Deploy Docker Application to the Cloud with Docker Machine0:02
Introduction to Docker Swarm and Set up Swarm Cluster8:01
Explore how Docker Swarm clusters multiple hosts, set up a two-node swarm with a manager and a worker, initialize the swarm, and join nodes to enable distributed scheduling.
Deploy Docker App Services to the Cloud via Docker Swarm11:07
Learn to deploy docker app services to a swarm cluster using docker stack and a compose file with deploy settings, enabling replicas, ingress load balancing, and scalable high-availability across nodes.
Extra learning Material: Dockers Monitoring Tools0:17

Requirements

A computer running Windows, OSX or Linux.
Knowledge of Git and Linux will be preferred but NOT required.
Prior experience with Docker Technologies is NOT required.

Description

Disclaimer:

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

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, James worked at many companies such as Amazon and Google. Now James is working at one of the top Silicon Valley startups specializing big data analysis.

During the past two years, James has been leading his team to dockerize their old monolithic applications with a micro-service approach.

James' company has gained massive benefits by running Docker in production. In this course, he is going to share with you his years of knowledge and best practices of working with docker in the real field.

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, James 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.

James 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, James 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.

30-day money-back guarantee!

You will get 30-day money-back guarantee from Udemy for this course.

If not satisfied simply ask for a refund within 30 days. You will get full refund. No questions whatsoever asked.

Are you ready to take your DevOps skills and career to the next level, take this course now!

You will go from zero to Docker hero in 4 hours.

Who this course is for:

Anyone who want to fully understand how Docker technology works and learn how Docker technology is being used in the field.
DevOps, Developers, or QAs who want to advance their career by improving their DevOps skills.
Developers who want to learn how to develop and deploy containerized modern web applications with a micro-service approach.

Docker Crash Course for busy DevOps and Developers

What you'll learn

Explore related topics

Course content

Get Started with Docker Technologies13 lectures • 44min

Working with Docker Images5 lectures • 28min

Create Containerized Web Applications7 lectures • 36min

Docker Networking6 lectures • 20min

Create a Continuous Integration Pipeline6 lectures • 28min

Deploy Docker Containers in Production7 lectures • 33min

Additional Learning Materials5 lectures • 5min

Requirements

Description

Who this course is for: