What is this course about:
This course covers all the fundamentals about Jenkins and teach you everything you need to know to setup a Jenkins build pipeline starting with continuous inspection (build, test and static analysis) all the way to continuous deployment(deploy to staging and production).
In the end of this course, you will gain in-depth knowledge about Jenkins and general DevOps skills to help your company or your own project to apply the right Jenkins workflow and continuously deliver better software.
What will you learn from this lecture:
In particularly, you will learn:
Why shall we learn Jenkins:
Jenkins 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 and operation practices.
The Jenkins Continuous Integration solution has become a standby in organizations of all sizes that want to increase productivity and streamline software development in the era of Agile. It has extensive community support has the extended the core functionality of Jenkins by developing thousands of useful plugins. An ecosystem of more than 1,100 plug-ins has emerged, enabling customers to add all sorts of functionality and integrate Jenkins with everything from Active Directory to GitHub to Tomcat.
Jenkins is becoming a must tool for DevOps. It allows companies to build very sophisticated build pipelines very quickly, thus greatly reducing the risk within the software development lifecycle. Tons of companies have already been using Jenkins to implement continuous integration pipeline. Today you have the access to that same technology right on your desktop.
About the author:
In the past, James Lee 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.
James has been working with Jenkins for more than 4 years and has led his team to implement several complex continuous deployment pipelines with Jenkins to automatically deploy large scale applications
James' company has gained massive benefits by using Jenkins to build automated DevOps pipelines . In this course, he is going to share with you his years of knowledge and best practices of working with Jenkins 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 implementing continuous integration pipeline 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 Jenkins and general DevOps skills to help your company or your own project to apply the right Jenkins 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!
In this lecture, we will talk about what is Continuous Integration, why we need it and different phases of adopting Continuous Integration into your organiz
We will also talk about the difference between Continuous Integration, Continuous Delivery and Continuous Deployment.
In this lecture, we will give a brief introduction about Jenkins and the history of Jenkins.
This lecture provides step-by-step instructions on how to setup Jenkins on your laptop.
In this lecture, we are going to talk about Jenkins's architecture and some important Jenkins terminologies such as jobs, nodes, executors, etc.
In this lectures, we will check out the Jenkins interface and the key features it provides.
This lectures provides a first look at Jenkins with a very simple "freestyle" project.
We will install Maven on our local box to create a Maven-based project, considering Jenkins natively understand Maven and offers excellent features for Maven-based projects.
In this lecture, we are going to configure Jenkins to work with Java, Git and Maven so that we can create our first Maven-based Jenkins project
In this lecture, we are going to create our first Maven-based Jenkins project which involves checking out source code from GitHub, compiling, running unit tests and packaging the application.
In this lecture, we are going to talk about other Jenkins build triggers, such as trigger build remotely, build after other projects are build and build periodically,
In this lecture, we are going to learn how to produce code quality and code coverage report such as checkstyle from Jenkins.
In this lecture, we will archive the artifacts generated in the current Jenkins job which will be used in the downstream Jenkins job.
In this lecture we will setup a staging environment for continuous deployment by running a Tomcat server. I will walk you through the complete setup and configuration for Tomcat server.
In a big organization, we might hundreds of concurrent builds running on Jenkins. A single Jenkins instance definitely won’t be able to handle such high build load. We need distributed builds that can run on multiple hosts. In this lecture, we will give a brief instruction about distributed Jenkins build.
In this lecture, we will install and configure Jenkins on Digital Ocean
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Tao Wei is a passionate software wizard 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.