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🔐 Introduction
While Freestyle jobs are great for getting started, modern
DevOps workflows require more flexibility, maintainability, and scalability.
That’s where Jenkins Pipelines come in.
Pipelines allow you to define the entire build, test, and
deploy workflow as code, making your automation version-controlled,
reproducible, and easier to maintain. Whether you’re deploying a simple app or
orchestrating a complex microservice architecture, pipelines put you in full
control.
In this chapter, we’ll explore the power of Jenkins
Pipelines — how to write them, manage them, and optimize them for
real-world CI/CD automation.
🤔 What is a Jenkins
Pipeline?
A Jenkins Pipeline is a suite of plugins that support integration
and implementation of continuous delivery pipelines using code. Pipelines
are written using a domain-specific language (DSL) based on Groovy.
You can define them in:
🔧 Benefits of Using
Jenkins Pipelines
Benefit |
Explanation |
Pipeline-as-Code |
Workflows are
version-controlled with the source code |
Scalability |
Handle large,
multi-stage workflows easily |
Maintainability |
Easier to debug,
modify, and reuse |
Reusability |
Share steps
across multiple projects |
Portability |
Works consistently
across environments |
Integration Flexibility |
Integrates
with Docker, Kubernetes, Slack, AWS, etc. |
🔁 Declarative vs Scripted
Pipelines
Aspect |
Declarative
Pipeline |
Scripted Pipeline |
Syntax |
Simplified, YAML-like |
Full Groovy scripting |
Readability |
High |
Medium (more
complex) |
Flexibility |
Medium |
High (more control
over logic) |
Use Case |
Most common workflows |
Complex logic
and loops |
Recommended For |
Beginners and teams |
Advanced users and
special cases |
🧾 Declarative Pipeline
Example
groovy
pipeline
{
agent any
stages {
stage('Build') {
steps {
echo 'Building...'
sh 'npm install'
}
}
stage('Test') {
steps {
echo 'Running tests...'
sh 'npm test'
}
}
stage('Deploy') {
steps {
echo 'Deploying...'
}
}
}
}
🔍 Scripted Pipeline
Example
groovy
node
{
stage('Build') {
echo 'Building...'
sh 'npm install'
}
stage('Test') {
echo 'Running tests...'
sh 'npm test'
}
stage('Deploy') {
echo 'Deploying...'
}
}
🧱 Anatomy of a
Jenkinsfile
Section |
Purpose |
pipeline block |
Starts the declarative
syntax |
agent |
Where to run
the pipeline (e.g., any, docker, label) |
stages |
Logical grouping of
build steps (Build, Test, Deploy) |
steps |
Commands/scripts
to execute |
environment |
Define environment
variables |
post |
Actions to
run after job completes (success/failure) |
🔁 Real-World Example:
Java App CI/CD Pipeline
groovy
pipeline
{
agent any
environment {
MVN_HOME = '/usr/share/maven'
}
stages {
stage('Checkout') {
steps {
git
'https://github.com/example/repo.git'
}
}
stage('Build') {
steps {
sh "${MVN_HOME}/bin/mvn clean
install"
}
}
stage('Test') {
steps {
sh "${MVN_HOME}/bin/mvn test"
}
}
stage('Deploy') {
steps {
sh './scripts/deploy.sh'
}
}
}
post {
success {
echo 'Pipeline completed successfully!'
}
failure {
echo 'Pipeline failed!'
}
}
}
🧰 Useful Pipeline
Directives
Directive |
Function |
agent |
Defines where to run
the stage or pipeline |
tools |
Install build
tools like Maven, JDK |
input |
Pause pipeline for manual
approval |
timeout |
Fails the
stage if it takes too long |
retry |
Retries the stage on
failure |
when |
Adds
conditional logic to stage execution |
⚙️ Pipeline Visualization Tools
Plugin |
Purpose |
Blue Ocean |
Graphical UI for
pipeline visualization and management |
Pipeline Stage View |
Shows
execution details and duration by stage |
Build Timeline
Plugin |
Displays build history
as a timeline |
🧪 Best Practices for
Managing Pipelines
📘 Advanced Pipeline
Features
Feature |
Description |
Parallel Execution |
Run multiple stages
simultaneously (e.g., parallel tests) |
Shared Libraries |
Define
reusable functions and steps across pipelines |
Matrix Builds |
Test across OS or
language versions |
Artifact Archiving |
Save build
results for download or later use |
Slack Notifications |
Send pipeline updates
to your team’s Slack channels |
📈 Pipeline Metrics That
Matter
Metric |
Why It’s Useful |
Build Duration |
Optimize slow stages |
Stage Success Rate |
Identify
flaky or failing stages |
Failure Cause |
Fix issues early with
logs and error context |
Deployment Frequency |
Track how
often software is delivered |
Lead Time for
Changes |
Time from code commit
to deploy |
📘 Summary
Jenkins Pipelines are the backbone of modern CI/CD
workflows. They let you codify your automation logic, control execution
precisely, and collaborate more effectively as a team. As you progress, you can
move from simple pipelines to complex workflows involving containers,
microservices, cloud deployments, and more.
A Jenkins job gets things done — a Jenkins Pipeline gets
everything done, reliably and repeatedly.
Jenkins is an open-source automation server that helps developers automate building, testing, and deploying code. It enables Continuous Integration and Continuous Delivery (CI/CD), making software delivery faster and more reliable.
To install Jenkins, you need:
The simplest way is to use the Jenkins WAR file:
java -jar jenkins.war
Alternatively, you can use a Docker container for a quick and clean setup:
docker
run -p 8080:8080 jenkins/jenkins:lts
Install the Git and GitHub plugins, then:
A pipeline is a script-based workflow written in Groovy DSL that defines your automation steps (e.g., build, test, deploy). Pipelines can be declarative (simplified) or scripted (flexible).
For basic automation, start with:
Yes! Jenkins integrates with Docker for building images and with Kubernetes for scaling jobs using agents. Tools like Jenkins X also help automate deployments in Kubernetes.
You can:
Yes! Jenkins is 100% free and open-source, licensed under MIT. You can use it in personal, educational, and commercial environments without restriction.
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