Skip to main content
Imagine this: every code change you push automatically triggers a rapid sequence of build, test, and deploy steps — with minimal human intervention. That’s the core promise of Jenkins: an open-source automation server that streamlines continuous integration (CI) and continuous delivery/deployment (CD). Jenkins orchestrates the software delivery pipeline: it detects changes in source control, runs builds and tests, creates artifacts or container images, and can deploy them to targets like Kubernetes clusters or cloud VMs. By catching issues early and automating repetitive tasks, Jenkins helps teams deliver software faster and with higher quality. Developers push code to a Git repository. Jenkins watches that repo (via webhooks or polling). When Jenkins detects a change, it clones the repository and starts a build. If something fails, Jenkins notifies the developer, who fixes the issue and pushes updates. Jenkins re-runs the pipeline on the new commit. When builds, tests, and packaging succeed, Jenkins can publish artifacts and deploy the updated application to the target environment, then notify the team of success.
A diagram of how Jenkins CI works: a developer commits to Git, Jenkins clones the repo and runs build steps — the top flow shows a build error and developer notification, the bottom flow shows build → unit test → Docker → Kubernetes deploy ending in success and notification.
This automated loop — commit → build → test → deploy → notify — ensures your production environment stays aligned with the repository state, enforcing consistency and speeding up feedback for developers. Before we dive into Jenkins pipelines and configuration, review these core concepts that form the foundation of Jenkins-based CI/CD.

​
Core Jenkins concepts

Familiarize yourself with these concepts before writing or migrating pipelines — they shape how you design CI/CD workflows with Jenkins.

​
How the Jenkins pipeline typically runs

  1. Developer pushes code to Git.
  2. Repository webhook or polling triggers Jenkins.
  3. Jenkins clones the repository and runs the pipeline defined in the Jenkinsfile.
  4. Pipeline stages execute (for example: build → unit tests → integration tests → package → publish).
  5. If tests pass and artifacts are produced, the pipeline can build a Docker image and deploy to the target (Kubernetes, cloud VM, etc.).
  6. Jenkins notifies the team of success or failure, closing the feedback loop.
Next topics to explore include Jenkinsfile syntax (Declarative vs. Scripted), agent selection and labeling strategies, secure credential management, artifact storage, and choosing plugins that match your infrastructure.

​
Advantages and disadvantages

A slide titled "Pro's and Con's" with a green thumbs-up column of advantages and an orange thumbs-down column of disadvantages. The pros list items like "Open Source and Free," "Highly Customizable," "Scriptable for Advanced Users," "Pipeline as Code," "Mature and Feature Rich," and "Scalable," while the cons list "Steeper Learning Curve," "Maintenance Overhead," "Performance Considerations," "Security Concerns," and "Hosting Required."
Because Jenkins is typically self‑hosted, plan and budget for ongoing maintenance: OS and plugin updates, backups, secure credential storage, access controls, and monitoring are essential to keep your CI/CD pipeline reliable and secure.
We’ve covered the essentials. From here, focus on writing a robust Jenkinsfile, deciding how to provision agents (static vs. dynamic), and adopting secure practices for credentials, secrets, and plugin management. For more details, consult the official Jenkins documentation and plugin-specific guides.

Watch Video