Learn the fundamentals of Continuous Integration, Continuous Delivery, CI/CD pipelines, automated testing, deployment automation, and modern DevOps workflows.
CI/CD Workflow
Source Code
Build Application
Automated Testing
Deployment
Monitoring
Introduction
CI/CD is a software development approach that uses automation to build, test, validate, and deploy application changes.
CI stands for Continuous Integration. It focuses on integrating code changes frequently and validating them through automated builds and tests.
CD can refer to Continuous Delivery or Continuous Deployment. Both focus on automating the process of preparing and releasing software changes.
CI/CD Fundamentals
CI/CD combines software development, automated testing, and deployment workflows into repeatable pipelines.
Continuous Integration is the practice of frequently merging code changes into a shared repository and automatically building and testing the application.
Key Topics
Continuous Delivery prepares software changes for release by automatically building, testing, and validating application changes.
Key Topics
Continuous Deployment automatically releases validated changes to production after the CI/CD pipeline successfully completes.
Key Topics
A CI/CD pipeline defines automated stages that move application code from development through testing and deployment.
Key Topics
CI/CD Pipeline
A CI/CD pipeline usually moves application changes through several automated stages before they reach production.
Developers write code and push changes to a source code repository.
The application source code is compiled or packaged into a deployable artifact.
Automated tests validate application functionality, quality, and reliability.
The validated application artifact is prepared for deployment.
The application is deployed to development, staging, or production environments.
Application performance and infrastructure are monitored after deployment.
Continuous Integration
A typical Continuous Integration workflow starts when a developer pushes code to a repository.
The CI system can automatically retrieve the source code, install dependencies, build the application, and run automated tests.
If a build or test fails, developers receive feedback and can investigate the issue before the change progresses further.
Basic CI Workflow
Developer Pushes Code
↓
Source Repository
↓
Build Application
↓
Run Automated Tests
↓
Build Successful
↓
Create Application ArtifactContinuous Delivery
Continuous Delivery extends Continuous Integration by preparing validated software changes for deployment.
After successful testing, the pipeline can package the application and make the release artifact available for deployment.
Depending on the workflow, a deployment may require manual approval or continue automatically through the pipeline.
Delivery Pipeline
Source Code
↓
Build
↓
Test
↓
Package
↓
Validate
↓
Ready for DeploymentContinuous Deployment
Continuous Deployment takes automation further by automatically releasing validated application changes after pipeline checks succeed.
This approach requires reliable automated testing, deployment processes, monitoring, and the ability to recover from failed releases.
Automated Deployment Flow
Code Change
↓
CI Pipeline
↓
Automated Tests
↓
Build Artifact
↓
Deployment Pipeline
↓
Production EnvironmentCI/CD Tools
CI/CD pipelines often integrate multiple technologies for source control, automation, containers, deployment, and infrastructure management.
Used for version control and managing application source code changes.
Provides workflow automation and CI/CD pipelines integrated with GitHub repositories.
An automation server commonly used for building, testing, and deploying applications.
Provides integrated CI/CD pipelines for GitLab repositories.
Packages applications and dependencies into portable container images.
Automates the deployment, scaling, and management of containerized applications.
Benefits
Automation reduces manual deployment work and helps teams release software more frequently.
Automated testing can detect problems early in the development process.
Repeatable pipelines provide consistent processes for building and deploying applications.
Developers receive feedback from automated builds and tests shortly after making changes.
Automation and containers help maintain consistent application configurations across environments.
Development and operations teams can share automated workflows and deployment processes.
Learning Roadmap
Follow these steps to build your understanding of CI/CD and create practical automation workflows.
Understand Git repositories, commits, branches, pull requests, and collaborative development workflows.
Learn how automated builds and tests validate code changes whenever developers push updates.
Create a simple pipeline that checks out source code, installs dependencies, builds the application, and runs tests.
Extend your pipeline to automatically deploy validated application artifacts.
Learn how Docker images can provide consistent application environments across development and production.
Build a complete workflow from code commit through automated testing, packaging, deployment, and monitoring.
Best Practices
Start with a small pipeline and gradually add additional testing and deployment stages.
Use automated tests to validate application changes before deployment.
Keep pipeline configuration and infrastructure definitions in version control when appropriate.
Use development, testing, staging, and production environments based on your application requirements.
Track application health and deployment results to identify problems quickly.
Ensure deployment workflows include a reliable way to recover from failed releases.
Continue Learning
Explore Continuous Integration, deployment automation, release pipelines, and DevOps workflows.
🐳Learn how containers help package and deploy applications consistently.
🚀Understand DevOps culture, collaboration, automation, and modern software delivery practices.
Next Step
Practice automating application builds, running tests, creating deployment workflows, and moving code from a repository toward a production environment.