Git Product home page Git Product logo

cp-jenkins's Introduction

ControlPlane: Jenkins

Opinionated YAML-driven Jenkins.

Quickstart

For a local development workflow, see below

  1. Edit setup.yml to point to a seed job, if one is desired, or remove the contents of the seed_jobdsl block. Change:

    properties {
        githubProjectUrl('https://github.com/controlplaneio/jenkins-dsl')
    }
    

    and

    remote {
        url('[email protected]:controlplaneio/jenkins-dsl.git')
        credentials('ssh-key-jenkins-bot')
    }
    
  2. Update the secrets and admin configuration for the deployment:

    $ cp setup-secret-example.yml setup-secret.yml
    

    Edit setup-secret.yml and fill in the configuration values. Update:

    org_name: github organisation name
    admin_user: github username
    admin_emai: email of github user
    client_id/client_secret: OAuth secrets from Github for login
    

    Client secrets for github/github_test are used for make run/test-run respectively

  3. Build the Docker image:

    $ make build
    
  4. Once built, launch locally:

    Make sure JENKINS_HOME_MOUNT_DIR exists, and is an absolute path. If you don't specify it, it will default to /mnt/jenkins_home.

    $ JENKINS_HOME_MOUNT_DIR=${HOME}/jenkins_home make run-local
    

    Navigate go to http://localhost:8080 in your browser.

    For a local development workflow, see below

  5. If you don't care about persisting that data then you can use the test-run command, which uses a new /tmp/foo directory each invocation, and runs on TEST_PORT in the Makefile (default is 8090).

    $ make test-run
    

Configuration

Once Jenkins is up:

  1. Credentials for the ssh-key-jenkins-bot user need to be added to clone repositories via SSH
  2. In-process script approval is required to allow the initial DSL scripts

Local Workflow

Building in a local Jenkins instance avoids the long feedback loop associated with remote Jenkins builds. It's particuarly useful for Jenkinsfile and Job DSL development.

  1. checkout a git repo to your host machine (laptop, etc)
  2. mount the git repo from your host to the local Jenkins container at startup
  3. make a commit to your local git repo (Jenkins will alway build from the last commit)
  4. trigger a build job in the local Jenkins

Steps

  1. Invoke the container:
    JENKINS_HOME_MOUNT_DIR=${HOME}/jenkins_home \
      JENKINS_TESTING_REPO_MOUNT_DIR=${HOME}/test-repo \
      CONTAINER_TAG=latest \
      make run-local
    1. add the directories you want to mount for the Jenkins home directory and the repository you are building to the environment variables JENKINS_HOME_MOUNT_DIR and JENKINS_TESTING_REPO_MOUNT_DIR.
    2. this mounts the JENKINS_TESTING_REPO_MOUNT_DIR to /mnt/test-repo
  2. Log in at http://localhost:8080 (or TEST_PORT if running make test-run, default 8090)
  3. Exec into the running container and disable security in the config file in order to access all the settings. (you should ONLY DO THIS LOCALLY):
$ docker exec -it CONTAINER_ID su jenkins -c bash
jenkins@CONTAINER_ID:/$ sed -i 's/<useSecurity>true<\/useSecurity>/<useSecurity>false<\/useSecurity>/' /var/jenkins_home/config.xml
jenkins@CONTAINER_ID:/$ exit
$ docker container restart CONTAINER_ID

You will need to restart the container for the new config to take effect.

  1. create a new pipeline job (or whatever you're testing)

    1. set the path to file:///mnt/test-repo (or a subdirectory thereof). If you are building a pipeline job, you will need to set Pipeline > Definition to "Pipeline script from SCM" and specify the path in "Repository URL", e.g file:///mnt/test-repo/my-repo/
    2. untick "Lightweight checkout"
  2. trigger a build of the new job. In the repo under test, switch to a new branch to commit small chunks to test in Jenkins. These commits should be squashed or rebased onto another branch when complete:

  3. git branch local-jenkins-dev && git checkout local-jenkins-dev

  4. Make changes to the code in the repo

  5. git add . && git commit -m "Auto commit $(date)"

  6. Trigger a Jenkins build (see next section, or do manually through UI)

  7. Iterate

  8. When complete, rebase changes onto another branch for commit or PR

Jenkins checks out the local git repo to build the job, so changes must be committed locally for Jenkins to build them.

Secrets Management

Secrets can be injected into a Jenkins instance via the API:

  1. Ensure a YAML file of secrets exists of the format demonstrated here
  2. Generate an API key for your admin user via Jenkins' UI (People > Desired User > Configure)
  3. Run the populate secrets script, either via make secrets, or the script it calls:
    script/populate-secrets.sh --server <i.e. http://localhost:8080> --username <admin username> --secrets-dir <relative path from populate-secrets.sh to secrets directory>
    
  4. Once the API key has been used, delete it from the Jenkins UI to prevent reuse

Migrating between hosts

  1. Stop the Jenkins container
  2. Compress the data directories
tar czvf mount-jenkins.tar.gz /mnt/jenkins_home/ /mnt/certs/
  1. Copy the file to the new host (either via ssh ForwardAgent [which should only be enabled when required or bounced through a secure intermediate host/workstation)
  2. Un-tar the tarball into the same directories on the new host
  3. Run the Makefile from this repo on the new host
make run-prod \
  CONTAINER_TAG=latest \
  VIRTUAL_HOST=myhost.example.com \
  [email protected]

To run the image by itself (without nginx or letencrypt), use make run instead of make run-prod

Prior Art

Further reading

cp-jenkins's People

Contributors

lukebond avatar pi-unnerup avatar raoulmillais avatar sublimino avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.