CI/CD Pipeline Outline
This outline describes the continuous integration and continuous delivery (CI/CD) pipeline for the vogen.serialization
project. The pipeline automates the build, test, and deployment process to ensure the codebase is always in a releasable state.
Build and Test
The CI/CD pipeline uses Azure DevOps to manage the build and test process. Every push to the main
branch triggers a new build.
Steps:
- Checkout Code: The pipeline retrieves the latest code from the
main
branch of the repository. - Restore Dependencies: The pipeline installs all necessary dependencies for the project using the NuGet package manager.
- Build Solution: The pipeline builds the
vogen.serialization
solution using the .NET SDK. - Run Unit Tests: The pipeline executes all unit tests in the solution using the
dotnet test
command. - Run Integration Tests: The pipeline executes integration tests defined in the
vogen.serialization.IntegrationTests
project usingdotnet test
. - Publish Artifacts: The pipeline packages the built code and test results into a set of artifacts for later deployment.
Example:
The Azure DevOps pipeline YAML file can be found here:
# Azure DevOps CI/CD Pipeline
trigger:
- main
pool:
vmImage: 'ubuntu-latest'
steps:
- task: NuGetToolInstaller@1
inputs:
versionSpec: 'latest'
checkLatest: true
- task: NuGetCommand@2
inputs:
command: restore
restoreSolution: 'vogen.serialization.sln'
- task: DotNetCoreCLI@2
inputs:
command: build
projects: 'vogen.serialization.sln'
- task: DotNetCoreCLI@2
inputs:
command: test
projects: 'vogen.serialization.Tests/vogen.serialization.Tests.csproj'
- task: DotNetCoreCLI@2
inputs:
command: test
projects: 'vogen.serialization.IntegrationTests/vogen.serialization.IntegrationTests.csproj'
- task: PublishBuildArtifacts@1
inputs:
PathtoPublish: '$(Build.ArtifactStagingDirectory)'
ArtifactName: 'vogen.serialization'
Deployment
The pipeline uses Azure DevOps for deploying the built artifacts to NuGet. The deployment occurs automatically upon successful completion of the build and test phases.
Steps:
- Get Artifacts: The deployment stage retrieves the build artifacts created during the previous stage.
- Publish NuGet Package: The pipeline uses the
NuGet
task to publish the built package to thevogen
NuGet feed hosted on Azure DevOps.
Example:
The Azure DevOps pipeline YAML file contains the deployment stage here:
# Azure DevOps CI/CD Pipeline
stages:
- stage: Build
jobs:
- job: Build
steps:
- task: NuGetToolInstaller@1
inputs:
versionSpec: 'latest'
checkLatest: true
- task: NuGetCommand@2
inputs:
command: restore
restoreSolution: 'vogen.serialization.sln'
- task: DotNetCoreCLI@2
inputs:
command: build
projects: 'vogen.serialization.sln'
- task: DotNetCoreCLI@2
inputs:
command: test
projects: 'vogen.serialization.Tests/vogen.serialization.Tests.csproj'
- task: DotNetCoreCLI@2
inputs:
command: test
projects: 'vogen.serialization.IntegrationTests/vogen.serialization.IntegrationTests.csproj'
- task: PublishBuildArtifacts@1
inputs:
PathtoPublish: '$(Build.ArtifactStagingDirectory)'
ArtifactName: 'vogen.serialization'
- stage: Deployment
jobs:
- job: Deployment
dependsOn: Build
steps:
- task: DownloadBuildArtifact@1
inputs:
buildType: 'current'
artifactName: 'vogen.serialization'
downloadPath: '$(Pipeline.Workspace)/vogen.serialization'
- task: NuGetPush@2
inputs:
apiKey: $(nugetApiKey)
feed: $(nugetFeedUrl)
package: '$(Pipeline.Workspace)/vogen.serialization/vogen.serialization.nupkg'
nugetCommand: 'push'
CI/CD Best Practices
The CI/CD pipeline for vogen.serialization
adheres to industry best practices.
Key Principles:
- Automation: The entire build, test, and deployment process is automated, reducing manual intervention and potential errors.
- Continuous Feedback: Every commit triggers a new build and test, providing developers with immediate feedback on the impact of their changes.
- Version Control: The codebase is managed using Git and Azure DevOps, ensuring version control, collaboration, and rollback capabilities.
- Code Quality: The pipeline includes unit tests and integration tests, ensuring code quality and functionality.
- Deployment Pipelines: The use of distinct build and deployment stages allows for structured and controlled deployment.
Future Enhancements:
- Static Code Analysis: Integrate static code analysis tools to automatically identify potential code issues and enforce coding standards.
- Performance Testing: Incorporate performance testing into the pipeline to ensure the application meets performance expectations.
- Security Scanning: Implement security scanning tools to identify vulnerabilities in the code.
- Automated Documentation: Utilize tools to automatically generate documentation from the codebase.