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 lecture:
In particularly, you will learn:
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, Tao Wei worked at many companies such as Amazon and Google. Now Tao is working at one of the top Silicon Valley startups specializing big data analysis.
During the past two years, Tao has been leading his team to dockerize their old monolithic applications with a micro-service approach.
Tao' 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, Tao 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.
Tao 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, Tao 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.
Step by step instructions to install docker on your local machine.
In this lecture, we will get a conceptual understanding of some important Docker terminologies such as images, containers, registry and repositories.
We will start our first Docker workflow: pull an image from Docker Hub, create and run a container from the image.
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.
Learn how to map container ports to host ports and use docker logs command.
Images are made up of layers. In this lecture, we will give an instruction to docker image layers.
Learn how to create a Docker image by committing changes made in a container.
Learn how to build Docker images by writing Docker files.
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.
Learn how to tag images and push images to Docker hub.
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.
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 our current Docker workflow with Docker compose and summarize the benefits of using Docker compose.
We will learn more about Docker compose workflows and introduce compose commands such as docker compose logs and docker compose build.
We will see how we can write some unit tests for our application and run those tests inside a container.
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.
In this lecture we will learn how to link circle CI with our Github repository for setting up a continuous integration workflow.
In this lecture, we will see how we can publish the newly built Docker image to Docker hub from CircleCI if the test is green.
In this lecture, we will talk about different perspectives about Docker’s usage production and the best practice of running Docker in production.
In this lecture, we will finally start deploying our docker app to the cloud by using docker machine.
Tao Wei is a passionate software wizard who worked on many large-scale projects in companies like Amazon and Google. Now he is working at one of the top Silicon Valley-based startups specializing in big data analysis. In his day job, he works with big data technologies such as Cassandra and ElasticSearch, and he is an absolute Docker technology geek and IntelliJ IDEA lover with strong focus on efficiency and simplicity.
Apart from his career as a software engineer, he is keen on sharing his knowledge with others and guiding them especially for startups and programming. He has been teaching courses and conducting workshops on Java programming / IntelliJ IDEA since he was 21.
He enjoys working with Udemy because here he can share all his field knowledge and secrets with a broader audience. He hopes students will definitely benefit from his years of experience. The students will be thrilled of association with Tao and Udemy. And we are also excited to have you on board.
Tao Wei has a MS degree in Computer Science from McGill University and many years of experience as a teaching assistant for various computer science classes.
Tao Wei also enjoys skiing and swimming, and he is a passionate traveler.
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