AWS Devops | Introduction to Pipeline and Creation of Pipeline Project in Jenkins | Class 17 |

Описание к видео AWS Devops | Introduction to Pipeline and Creation of Pipeline Project in Jenkins | Class 17 |

In this video, we provide an introduction to Jenkins Pipeline and guide you through the process of creating a Pipeline Project in Jenkins. Pipelines are essential in AWS DevOps for automating the continuous integration and continuous delivery (CI/CD) process. Learn how to define and configure pipelines for building, testing, and deploying applications in an efficient and scalable way.

What You Will Learn:
What is Jenkins Pipeline?

Understand the concept of Pipeline as Code and its importance in modern DevOps workflows.
Introduction to Declarative Pipelines and Scripted Pipelines in Jenkins.
Benefits of using Jenkins Pipelines to automate end-to-end processes.
Creating a Pipeline Project in Jenkins:

Step-by-step guide to creating a Pipeline job in Jenkins.
How to configure a Jenkins file to define your build, test, and deployment stages.
Set up GitHub integration to link your pipeline with version control and trigger automated builds with every commit.
Pipeline Stages and Steps:

Learn how to define different stages in a pipeline such as build, test, deploy, etc.
Use steps within each stage to run shell commands, scripts, or tools for your CI/CD tasks.
Why Jenkins Pipeline is Important for AWS DevOps:
Automation: Jenkins Pipelines enable end-to-end automation, reducing manual intervention and streamlining workflows.
Scalability: With Jenkins Pipelines, you can easily scale your DevOps processes on AWS, handling large and complex applications with ease.
Version Control Integration: Pipelines integrate seamlessly with version control systems like GitHub, GitLab, or Bitbucket, ensuring continuous integration and delivery with every code change.
By the end of this video, you'll be able to create and configure your own Jenkins Pipeline project, enabling you to automate and optimize your CI/CD pipeline in an AWS DevOps environment.

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