CI/CD pipeline Examples
A collection of examples for Codefresh pipelines
Codefresh enables you to define the steps of your pipeline in a YAML file. By default, the file is named codefresh.yml, and is located in the root directory of the repository.
Programming Language specific
Codefresh is agnostic as far as programming languages are concerned. All major programming languages are supported:
- Go Web App or Go CLI
- Spring Java app with Maven or Gradle. Also how to upload JAR to Nexus/Artifactory
- Node Express.js App or React.js App
- Php App
- Python Django App
- Ruby On Rails App
- C or C++
- Rust
- C# .NET core
- Scala App
- Android (Mobile)
Checking out source code
You can checkout code from one or more repositories in any pipeline phase. Codefresh includes built-in GIT integration with all the popular GIT providers and can be used with git-clone steps.
- Cloning Git repositories using the built-in integration
- Cloning Git repositories using manual Git commands
- Checking out from Subversion, Perforce, Mercurial, etc
Build/Package
Codefresh has native support for building and pushing Docker containers. You can also compile traditional applications that are not Dockerized yet.
- Build an Image with the Dockerfile in Root Directory
- Build an Image by Specifying the Dockerfile Location
- Build an Image from a Different Git Repository
- Build and Push an Image
- Build an Image With Build Arguments
- Sharing data between steps
- Uploading or Downloading from a Google Storage Bucket
- Get Short SHA ID and Use it in a CI Process
- Calling a CD pipeline from a CI pipeline
- Trigger a Kubernetes Deployment from a Dockerhub Push Event
Testing
Codefresh has support for both unit and integration tests as well as test reporting.
- Run Unit Tests
- Run Integration Tests
- Run Integration Tests with MongoDB
- Run Integration Tests with MySQL
- Run Integration Tests with PostgreSQL
- Run Integration Tests with Redis
- Shared volumes of service from composition step for other yml steps
- Launch Composition
- Launching a Composition and Defining a Service Environment Variables using a file
- Run multiple kinds of unit tests using fan-in-fan-out parallel pipeline
Code Coverage
- Run coverage reports with Codecov
- Run coverage reports with Coveralls
- Run coverage reports with Codacy
Secrets
Codefresh can automatically export secret key-value pairs using the Vault plugin from the Step Marketplace.
Preview environments
Codefresh can automatically launch environments (powered by Docker swarm) to preview a Pull Reqest or feature. The definition of the environment can come from an existing composition, a docker-compose file or an inline YAML. Preview environments can be launched manually or automatically from pipelines.
- MongoDB preload data
- NodeJS + Angular2 + MongoDB
- NGINX Basic Auth
- Spring Boot + Kafka + Zookeeper
- Web terminal
Deployment
Codefresh can deploy to any platform such as VMs, FTP/SSH/S3 sites, app servers but of course it has great support for Kubernetes clusters and Helm releases:
- Deploy to a VM with packer
- Deploy to a VM with FTP
- Deploy to Tomcat using SCP
- Deploy Demochat to a Kubernetes cluster
- Use kubectl as part of Freestyle step
- Deploy with Kustomize
- Deploy with Helm
- Deploy with Terraform
- Deploy with Pulumi
- Deploy to Nomad
- Deploy to Heroku
- Deploy to Docker swarm
- Deploy to Elastic Beanstalk
- Deploy to Amazon ECS/Fargate