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Devops: Jenkins Pipeline As Code: All you need to know A - Z

Accelerate your learning with easy to understand examples and real time demonstrations of Jenkins Pipeline Scripts.

Devops: Jenkins Pipeline As Code: All you need to know A - Z

Udemy Offer Course Description

*** Please note that this is NOT a how to set up Jenkins course. This is a course for people who ALREADY knows what jenkins pipelines are used for, want to use it and want to get up to speed with the syntax or learn more about it quickly.***

*** Get latest course updates in the readme when you search for user pipelineascodecourse in github ***

***Updated for 2021 !!!***

Are you looking to use Jenkins pipeline as code FAST

"With Pipelines, organisations can define their delivery pipeline through a DSL (Pipeline-as-code). Pipelines, thus, can be versioned, checked into source and easily shared within an organisation. "

"The Pipeline DSL helps you capture complex process requirements through code - thus you can try-catch on deployment failures, loop through deployments, run tests in parallel. It brings the power of a programming language (groovy) to do so. At the same time, the DSL is simple enough to capture simple cases easily without having to touch groovy code. You can capture common patterns in functions and keep them in a global library so that new applications can build on these functions rather than re-invent.  "

Source: Cloudbees - Jenkins Pipeline - Software Delivery Made Easy

Jenkins Pipeline as Code allows you to define and automate pipelined job processes with code. Code that can be stored and versioned in a repository which allows you to track changes over time and used by jenkins to run build jobs. If you are already using Jenkins, you should have already heard of pipeline as code but if you have not, this course will help you learn what it is, and also help you to get started quickly with it to make your life as a devops practitioner much easier. This course will help you understand and use both declarative and scripted pipeline scripts and how to use shared libraries for common code across build jobs with realtime demonstrations of the pipeline scripts.

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