Modern CI Pipelines with Jenkins, Pipeline as Code, Blue Ocean, Git Branching Models, Docker Integration
What you will learn
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What is Continuous Integration and how Jenkins fits in
Setting up Jenkins Server using Docker and Docker Compose
Building a Continuous Integration Pipeline for a Java App
Writing Pipeline as a Code using Jenkinsfile with Declarative Syntax
Building and Managing Pipelines with Blue Ocean UI
Creating Multi Branch Pipelines
Branching Models and Trunk Based Development
Implementing Pull Requests Based Workflows and Code Reviews
Using per stage Docker Agent
Automating Container Image Build from Jenkins
Add-On Information:
- Modern CI/CD Principles: Comprehend the core tenets of Continuous Integration and Delivery, pivotal for accelerating software releases and enhancing overall product quality.
- Containerized Jenkins Infrastructure: Build robust, reproducible Jenkins environments using Docker and Docker Compose, ensuring consistency and portability of your CI/CD setup.
- Full-Stack Pipeline Automation: Engineer end-to-end automated pipelines, transforming source code into shippable artifacts with integrated testing for various application types.
- Code-Driven Pipelines (Jenkinsfile): Master writing Jenkinsfiles with declarative syntax, enabling version-controlled, collaborative, and consistently executed pipeline logic.
- Blue Ocean UI for Pipelines: Utilize Jenkins Blue Ocean for intuitive visualization and real-time monitoring, troubleshooting, and interaction with complex pipeline executions.
- Dynamic Multi-Branch Workflows: Configure pipelines that automatically trigger and run for every Git branch and pull request, ensuring continuous validation and feedback.
- Strategic Git Branching: Implement industry-standard Git branching models like Trunk-Based Development for streamlined collaboration and a stable codebase.
- Automated Pull Request Validation: Embed automated checks directly into PR workflows, validating every code change (builds, tests, analysis) before human review.
- Isolated Build Environments: Employ per-stage Docker agents to create clean, isolated build environments, eliminating dependency conflicts and ensuring reliable execution.
- Automated Docker Image Builds: Streamline the process of building, tagging, and pushing production-ready Docker images directly from your Jenkins pipelines.
- Deployment Readiness: Understand how to prepare tested artifacts into deployable container images, optimizing for various orchestration platforms.
- Essential DevOps Competencies: Cultivate practical skills in core DevOps practices, enabling significant contributions to modern development and optimized delivery.
- PROS:
- High-Demand Skills: Gain expert proficiency with Jenkins and Docker, making you highly competitive in the DevOps job market.
- Practical Application: Build real-world CI/CD pipelines, translating theory into tangible, deployable solutions.
- Boosted Efficiency: Master automation to drastically reduce manual errors, accelerate releases, and enhance team productivity.
- Superior Software Quality: Implement robust, automated testing and validation to ensure high code quality and application stability.
- CONS:
- Recommended Prerequisites: A foundational understanding of software development, Git, and basic Docker concepts will greatly benefit your learning journey.
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