Thursday, February 25, 2021

Automate Docker builds using Jenkins Pipelines | Dockerize Python App | Upload Images into AWS ECR

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 AWS ECR successfully. We will not be using AWS access keys to upload image into ECR, we will be using IAM role and attach to Jenkins instance to access ECR.


- Automating builds
- Automating Docker image builds
- Automating Docker image upload into AWS ECR
- Automating Docker container provisioning
 
Watch here for YouTube channel:
 
Pre-requistes:
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. Repo created in ECR, Click here to know how to do that.
5. port 8096 is opened up in firewall rules. 
6. Create an IAM role with AmazonEC2ContainerRegistryFullAccess policy, attach to Jenkins EC2 instance

Step # 1 - Create a pipeline in Jenkins, name can be anything

Step # 2 - Copy the pipeline code from below
Make sure you change red highlighted values below:
Your account_d should be updated and repo should be updated.

pipeline {
    agent any
    environment {
        registry = "acct_id.dkr.ecr.us-east-2.amazonaws.com/
your_ecr_repo"
    }
   
    stages {
        stage('Cloning Git') {
            steps {
                checkout([$class: 'GitSCM', branches: [[name: '*/master']], doGenerateSubmoduleConfigurations: false, extensions: [], submoduleCfg: [], userRemoteConfigs: [[credentialsId: '', url: 'https://github.com/akannan1087/myPythonDockerRepo']]])     
            }
        }
  
    // Building Docker images
    stage('Building image') {
      steps{
        script {
          dockerImage = docker.build registry
        }
      }
    }
   
    // Uploading Docker images into AWS ECR
    stage('Pushing to ECR') {
     steps{  
         script {
                sh 'aws ecr get-login-password --region us-east-2 | docker login --username AWS --password-stdin
acct_id.dkr.ecr.us-east-2.amazonaws.com'
                sh 'docker push
acct_id.dkr.ecr.us-east-2.amazonaws.com/your_ecr_repo:latest'
         }
        }
      }
   
         // 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
acct_id.dkr.ecr.us-east-2.amazonaws.com/your_ecr_repo:latest'
            }
      }
    }
    }
}

Step # 3 - Click on Build - Build the pipeline
Once you create the pipeline and changes values per your ECR account ID, click on Build now.
Steps # 4 - Check Docker images are uploaded into ECR
Login to ECR, click on your repo, 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:



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