Automate Docker builds using Jenkins Pipelines | Dockerize Python App | Upload Images into Azure Container Registry (ACR)

We will learn how to automate Docker builds using Jenkins. We will use Python based application. I have already created a repo with source code + Dockerfile. We will see how to create Docker image and upload into Azure Container Registry (ACR) successfully.

- Automating builds
- Automating Docker image builds
- Automating Docker image upload into ACR
- Automating Docker container provisioning

 

Watch here for YouTube channel:
 

Pre-requisites:
1. Jenkins is up and running
2. Docker installed on Jenkins instance. Click here to for integrating Docker and Jenkins
3. Docker and Docker pipelines plug-in are installed 

4. Create credentials entry for Jenkins for connecting to ACR
5. Repo created in ACR, Click here to know how to do that.
6. port 8096 is opened up in firewall rules. 

Step # 1 - Create a pipeline in Jenkins

Name as myACRDockerPipelineJob

Step # 2 - Copy the pipeline code from below
Make sure you change red highlighted values below:
Your a should be updated and repo should be updated.
pipeline {
     agent any
     
        environment {
        //once you create ACR in Azure cloud, use that here
        registryName = "myakacrregistry/my-python-app"
        //- update your credentials ID after creating credentials for connecting to ACR
        registryCredential = 'ACR'
        dockerImage = ''
        registryUrl = 'myakacrregistry.azurecr.io'
    }
    
    stages {

        stage ('checkout') {
            steps {
            checkout([$class: 'GitSCM', branches: [[name: '*/master']], doGenerateSubmoduleConfigurations: false, extensions: [], submoduleCfg: [], userRemoteConfigs: [[url: 'https://github.com/akannan1087/myPythonDockerRepo']]])
            }
        }
       
        stage ('Build Docker image') {
            steps {
                
                script {
                    dockerImage = docker.build registryName
                }
            }
        }
       
    // Uploading Docker images into ACR
    stage('Upload Image to ACR') {
     steps{   
         script {
            docker.withRegistry( "http://${registryUrl}", registryCredential ) {
            dockerImage.push()
            }
        }
      }
    }

       // Stopping Docker containers for cleaner Docker run
     stage('stop previous containers') {
         steps {
            sh 'docker ps -f name=mypythonContainer -q | xargs --no-run-if-empty docker container stop'
            sh 'docker container ls -a -fname=mypythonContainer -q | xargs -r docker container rm'
         }
       }
      
    stage('Docker Run') {
     steps{
         script {
                sh 'docker run -d -p 8096:5000 --rm --name mypythonContainer ${registryUrl}/${registryName}'
            }
      }
    }
    }
 }

 

Step # 3 - Click on Build - Build the pipeline

Once you create the pipeline and changed values per your ACR details, click on Build now.

Steps # 4 - Check Docker images are uploaded into ACR

Login to ACR in Azure cloud, click on your registry name, Services, Repositories, now you should see the image got uploaded.

Steps # 5 - Access PythonApp in the browser which is running inside docker container

Once build is successful, go to browser and enter http://public_dns_name:8096

You should see page like below: