DevOps with AWS CodePipeline, Jenkins and AWS CodeDeploy

DevOps with AWS CodePipeline, Jenkins and AWS CodeDeploy

English | MP4 | AVC 1920×1080 | AAC 44KHz 2ch | 2h 43m | 1.35 GB

Learn DevOps skills with rising demand. Continuous integration and continuous delivery in the AWS cloud

Today the technology sector is experiencing a boom throughout the world. There are hundreds of startups launching every day. In order to move fast, these startups need people who are skilled at automating as much as possible. Mostly, progressive startups favor implementing completely automated DevOps pipelines from the get-go. They realize that these practices of continuous integration (CI) and continuous delivery (CD) will yield tremendous benefits regarding speed and agility. The demand for these skills has been steadily rising over the last few years. AWS CodePipeline and AWS CodeDeploy is a highly scalable and configurable toolset from Amazon AWS which enables us to build very sophisticated automated build and deployment pipelines. Jenkins is an award-winning open source toolset which enables us to build very sophisticated automated build pipelines very quickly. It has extensive community support which has augmented the core functionality of Jenkins by building and sharing hundreds of very useful plugins. Implementing continuous integration, continuous delivery and continuous deployment with these tools and frameworks can help us immensely in reducing the risk within our software development lifecycle. It catches us bugs early and increases the quality of our software products. This, in turn, reduces the overall cost to develop innovative software in any environment – startups and enterprise alike. The demand for professionals who have experience with these tools has been growing steadily over the last few years. The salaries and consulting rates for these skills have also been rising and are only bound to go up as the demand for these skills remains steady or increases. Professionals with AWS and Jenkins experience can demand as much as $130K as their yearly compensation and these jobs pay more than the majority of the jobs posted on US job boards.

Hands-on course. The course covers important topics which are a good reason for participation. The instructor is very knowledgeable and provides technical examples.

What You Will Learn

  • Learn what is continuous integration (CI), continuous delivery and continuous deployment (CD)
  • Learn why CI and CD is important (especially in fast paced start up environment)
  • Maintain and version control database schema in an automated fashion via Sqitch
  • Build an automated CI and CD pipeline with AWS CodePipeline, Jenkins and AWS CodeDeploy
  • Learn how to setup automatic build and deployment notifications within AWS CodeDeploy
  • Deploy AWS EC2 virtual machine instances
  • Deploy PostgreSQL database in AWS RDS
Table of Contents

Introduction
1 Welcome & course overview
2 About us
3 About the learner

Introduction to Continuous integration, delivery and deployment
4 Software build and release processes
5 Why implement continuous integration, delivery and deployment
6 A simple CD pipeline with AWS CodePipeline and AWS CodeDeploy

AWS CodePipeline, Jenkins and AWS CodeDeploy
7 AWS CodePipeline
8 How AWS CodePipeline works
9 AWS CodeDeploy
10 How AWS CodeDeploy works
11 Deployment with AWS CodeDeploy
12 Jenkins
13 How Jenkins works
14 Continuous delivery with AWS CodePipeline, Jenkins and AWS CodeDeploy
15 AWS, CI, CD & DevOps – opportunities, jobs and salaries

Getting started
16 Project setup
17 CI & CD with relational databases
18 Project component setup
19 Setup postgreSQL database in AWS RDS
20 Setup Node.JS HAPI RESTful API project
21 Setup sqitch (database schema management framework)

Deep dive
22 CI and CD pipeline deep dive
23 Setup AWS roles and prerequisites
24 Setup Jenkins in AWS EC2
25 Create AWS CodeDeploy application
26 Review appSpec.yml file
27 Setup Jenkins job
28 Build CD pipeline with AWS CodePipeline

Conclusion
29 Next steps
30 Build and deployment notifications
31 CI & CD pipeline with source code changes
32 CI & CD pipeline with database schema changes

Thank you
33 Thank you!