Table of contents
Let’s break down the essentials of Jenkins pipelines.
What Is a Pipeline?
A pipeline in Jenkins is like a recipe for building, testing, and deploying your software.
It’s a sequence of steps (or jobs) that guide your code from development to production.
Declarative vs. Scripted Pipelines:
Declarative Pipeline Example:
Declarative pipelines are designed to be straightforward and easy to read. They follow a structured syntax. Here’s a simple example:
pipeline { agent any stages { stage('Build') { steps { sh 'echo Building...' } } stage('Test') { steps { sh 'echo Testing...' } } stage('Deploy') { steps { sh 'echo Deploying...' } } } }
In this declarative pipeline:
We define three stages: Build, Test, and Deploy.
Each stage contains a single step (a shell command).
Scripted Pipeline Example:
Scripted pipelines provide more flexibility but require knowledge of Groovy. Here’s an equivalent scripted example:
node { stage('Build') { echo 'Building...' } stage('Test') { echo 'Testing...' } stage('Deploy') { echo 'Deploying...' } }
In this scripted pipeline:
We use the
node
block to specify the machine executing the pipeline.Each stage directly contains steps (using
echo
for simplicity).
Key Differences:
Syntax:
Declarative: Structured, with specific keywords like
pipeline
,stages
, andsteps
.Scripted: More free-form, using blocks like
node
and direct commands.
Ease of Use:
Declarative: Easier for beginners due to its succinct syntax.
Scripted: Offers more power but requires understanding Groovy.
Flexibility:
Declarative: Opinionated; enforces best practices.
Scripted: Highly flexible; allows complex logic.
Why Use a Pipeline?
Imagine your CD (Continuous Delivery) pipeline as part of your application code.
Benefits:
Version Control: Define your pipeline in a text file (Jenkinsfile) and store it alongside your app’s code.
Consistency: Every branch and pull request gets the same pipeline treatment.
Code Review: Review and iterate on your pipeline just like any other code.
Remember, Jenkins pipelines are all about automating your software delivery process. Whether you’re building a web app, a mobile app, or something else entirely, pipelines help you ship your code with confidence! 🚀.
TASK:
Create a New Job, this time select Pipeline instead of Freestyle Project.
Create a Declarative pipeline to run FlaskApp on a docker container.
Solution:
- Create Pipeline.
Follow the configuration as mentioned.
- Click Save and Build Now.
Your app should be running on http://localhost:5000/
Thank you for reading😉.