Curriculum
CI/CD Pipelines for ASP.NET Core are among the most important practices in modern software development and DevOps. Organizations release software frequently, sometimes multiple times per day. Manual deployment processes are slow, error-prone, and difficult to scale. CI/CD enables teams to automate building, testing, and deploying applications.
Understanding CI/CD Pipelines for ASP.NET Core is essential because modern organizations rely on automated software delivery to improve quality, reduce deployment risks, accelerate releases, and support continuous innovation.
CI/CD stands for:
Continuous Integration
Continuous Delivery
Continuous DeploymentThese practices automate software development workflows.
Traditional development:
Write Code
↓
Manual Testing
↓
Manual Deployment
↓
ProductionProblems:
Slow Releases
Human Errors
Deployment RisksCI/CD solves these issues.
Continuous Integration means:
Code Changes
↓
Automatic Build
↓
Automatic TestingDevelopers integrate code frequently.
Early Bug Detection
Code Quality
Team Collaboration
Faster FeedbackCI improves development efficiency.
Developer
↓
Commit Code
↓
Source Control
↓
Build
↓
TestEvery code change is validated.
Continuous Delivery means:
Build
↓
Test
↓
Ready For DeploymentApplications are always deployment-ready.
Continuous Deployment means:
Build
↓
Test
↓
Automatic Production DeploymentNo manual intervention is required.
Continuous Delivery:
Manual Approval
↓
ProductionContinuous Deployment:
Automatic Deployment
↓
ProductionThe difference is deployment approval.
Automation
Faster Releases
Higher Quality
Reduced Risk
Improved ProductivityThese benefits drive DevOps adoption.
Code
↓
Build
↓
Test
↓
Package
↓
Deploy
↓
MonitorThis is a typical pipeline structure.
A Pipeline is:
Automated WorkflowIt executes predefined development and deployment steps.
Most pipelines start with:
Git RepositoryExamples:
GitHub
GitLab
Azure Repos
BitbucketSource control triggers the pipeline.
Write Code
↓
Commit
↓
Push
↓
Pipeline TriggeredAutomation begins immediately.
Purpose:
Compile ApplicationExample:
dotnet buildEnsures code compiles successfully.
Purpose:
Verify FunctionalityExample:
dotnet testAutomated tests improve reliability.
Purpose:
Generate Deployment FilesExample:
dotnet publishCreates deployment-ready artifacts.
Artifacts include:
Published Files
Packages
Docker ImagesArtifacts move through deployment stages.
Purpose:
Deploy ApplicationTargets:
IIS
Azure
Docker
KubernetesApplications become accessible to users.
Monitor:
Errors
Performance
Availability
UsageMonitoring ensures system health.
Examples:
GitHub Actions
Azure DevOps
GitLab CI/CD
JenkinsThese tools automate pipelines.
GitHub Actions provides:
Workflow AutomationDirectly integrated with GitHub repositories.
Push Code
↓
GitHub Action
↓
Build
↓
Test
↓
DeployFully automated.
Azure DevOps provides:
Source Control
Pipelines
Boards
Testing ToolsWidely used in enterprise environments.
Code Commit
↓
Build Pipeline
↓
Release Pipeline
↓
DeploymentSupports complete DevOps processes.
Jenkins is:
Open Source Automation ServerFeatures:
Build Automation
Testing
DeploymentPopular in large organizations.
Workflow:
Build Application
↓
Build Docker Image
↓
Deploy ContainerContainerized deployments fit naturally into CI/CD.
Workflow:
Pipeline
↓
Container Image
↓
Kubernetes DeploymentSupports cloud-native architectures.
Examples:
Development
Testing
Staging
ProductionApplications move through environments.
Purpose:
Verify Quality
Control ReleasesCommon before production deployment.
Examples:
Unit Testing
Integration Testing
UI TestingTesting improves software quality.
Modern pipelines perform:
Dependency Scanning
Code Analysis
Vulnerability DetectionSecurity is integrated into DevOps.
Examples:
Terraform
ARM Templates
BicepInfrastructure can also be automated.
Workflow:
Current Environment
↓
New Environment
↓
Switch TrafficReduces downtime.
Workflow:
Deploy Small Percentage
↓
Monitor
↓
Full DeploymentReduces deployment risk.
Purpose:
Restore Previous VersionIf deployment fails:
Rollback
↓
Stable ReleaseImproves reliability.
E-Commerce Platform:
Code Commit
↓
Build
↓
Test
↓
Docker Image
↓
Deploy
↓
MonitorReleases occur quickly and safely.
Pipeline Includes:
Security Testing
Compliance Checks
Deployment ApprovalStrict controls are enforced.
Pipeline Includes:
Automated Testing
Security Validation
Deployment MonitoringReliability is critical.
Applications reach users more quickly.
Automated testing catches issues early.
Automation minimizes human errors.
Teams integrate changes efficiently.
Developers focus on development rather than manual deployment.
These advantages make CI/CD essential in modern software development.
Can introduce defects.
Makes issue detection difficult.
Creates security vulnerabilities.
Increases risk.
Complicates failure recovery.
Continuous Integration and Continuous Delivery/Deployment.
A practice where code changes are automatically built and tested.
A practice where applications are always deployment-ready.
A practice where deployments occur automatically after successful testing.
An automated workflow that builds, tests, and deploys software.
They improve quality, speed, reliability, and productivity.
CI/CD is a set of practices for automating software development, testing, and deployment.
Continuous Integration automatically builds and tests code changes.
Continuous Delivery ensures applications are always ready for deployment.
Continuous Deployment automatically releases applications to production after successful testing.
Popular tools include GitHub Actions, Azure DevOps, GitLab CI/CD, and Jenkins.
They automate development workflows, improve software quality, reduce deployment risks, and accelerate delivery.