Install AWS CLI 2 on Red Hat Linux | Install AWS CLI 2 on Ubuntu 18.0.4

Follow these steps from the command line to install the AWS CLI on Linux.

curl "https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip" -o "awscliv2.zip"

unzip awscliv2.zip
sudo ./aws/install
aws --version
The above command should display the version like below:
aws-cli/2.0.33 Python/3.7.3 Linux/5.3.0-1030-aws botocore/2.0.0dev37

How to clean workspace after Jenkins Build - Clean up workspace after every build

You can clean workspace using Workspace cleanup plugin in Jenkins after builds executions.

Install workspace clean up Plug-in

Free Style Job Workspace - cleanup

Go to your existing freestyle job, click on Post-Build actions --> Select Delete workspace when build is done option.

Now run the job. You should be able to see workspace is cleaned up after build is done inside Jenkins node. You will not see any folder with job name, in Ubuntu usually under /var/lib/jenkins/workspace/

Pipeline Job Workspace - cleanup code

Go to your existing pipeline job, you can code something like this below:
pipeline {
    agent any
     tools {
        maven 'Maven3'
    }
    stages {
        stage ("checkout")  {
            steps {
            checkout logic here
            }
        }
    stage ('build')  {
        steps {
            sh "mvn clean install -f MyWebApp/pom.xml"
        }
     }
    }

/*** workspace clean up*/
    post {
        always {
            cleanWs()
        }
    }   
 }

Watch this on YouTube video:

How to create an Elastic IP Address in AWS and assign to your EC2 instance | Associate Elastic IP address to EC2 instance

If you are using an AWS free tier account, every time you stop and restart the EC2 instance the public ip/dns name changes. To avoid this you can use the Elastic IP address provided by AWS. 

Elastic IP address is static IP address or permanent address provided by AWS. 

How to create Elastic IP address:

Go to AWS console, Click on EC2, Elastic IPs.

Click on Allocate Elastic IP address

Now it should create Elastic IP address.

Click on Actions, Associate Elastic IP address and choose your instance from Instances textbox and pick up the Private ip address automatically.

That's it! Elastic IP(static) address have been assigned to your EC2 instance.

Install AWS CLI version 2 on Mac OS | How to install AWS CLI 2 on Mac OS

Install AWS CLI version 2 on Mac OS

Download the file using the curl command. The -o option specifies the file name that the downloaded package is written to. In this example, the file is written to AWSCLIV2.pkg in the current folder.

curl "https://awscli.amazonaws.com/AWSCLIV2.pkg" -o "AWSCLIV2.pkg"

Run the standard macOS installer program, specifying the downloaded .pkg file as the source. Use the -pkg parameter to specify the name of the package to install, and the -target / parameter for which drive to install the package to. The files are installed to /usr/local/aws-cli, and a symlink is automatically created in /usr/local/bin. You must include sudo on the command to grant write permissions to those folders.

sudo installer -pkg AWSCLIV2.pkg -target /

aws --version

How to configure webhooks in Bitbucket to trigger a build in Jenkins? How to trigger automated builds in Jenkins through Bitbucket?

Webhooks are triggers that enables developers to trigger Jenkins jobs automatically every time there is a code change. Jenkins builds can be triggered by following ways:

• pull - using poll scm
• push mechanism - by triggering a build from Bitbucket or GitHub for every repository changes.
• Slack commands

we will see in this article how to trigger (push) build in Jenkins for every change in bitbucket repository:

Pre-requisites:
Install Bitbucket plug-in Jenkins:

Changes needed in Jenkins
Select the job you would like to configure Webhook is for. Click on configure, under Build triggers section, click on Build when a change is pushed to Bitbucket. Save the build job.

Changes needed in Bitbucket
1. Go to Bitbucket, choose the repository where you have your webapp configured., go to settings, click on web hooks.
2. enter title, url which should be like --> http://jenkins_server_url/bitbucket-hook/

for e.g.,  http://ec2-18-191-42-55.us-east-2.compute.amazonaws.com:8080/bitbucket-hook/

3. status should be active.

4. click on skip certificate verification
5. triggers --> repository push
Click save. you should be able to see the webhooks.

Now click on View requests. Make sure the url is correct 

Now make a code change in Bitbucket to see if that triggers a build in Jenkins automatically.
You can also watch the steps in my YouTube channel as well:
 

Deploy Python App into Kubernetes Cluster using Jenkins Pipeline | Containerize Python App and Deploy into AKS Cluster

We will learn how to automate Docker builds using Jenkins and Deploy into Kubernetes Cluster setup using AKS. We will use Python based application. I have already created a repo with source code + Dockerfile. The repo also have Jenkinsfile for automating the following:

- Automating builds using Jenkins
- Automating Docker image creation
- Automating Docker image upload into Docker registry
- Automating Deployments to Kubernetes Cluster

Pre-requisites:
1. AKS Cluster is setup and running. Click here to learn how to create AKS cluster.

2. Jenkins Master is up and running. 

3. Setup Jenkins slave to run Docker builds
4. Docker, Docker pipeline and Kubernetes Deploy plug-ins are installed in Jenkins

5. Docker hub account setup in https://cloud.docker.com

Step #1 - Create Credentials for Docker Hub

Go to Jenkins UI, click on Credentials -->

Click on Global credentials

Click on Add Credentials

Now Create an entry for your Docker Hub account. Make sure you enter the ID as dockerhub

Step #2 - Create Credentials for Kubernetes Cluster

Click on Add Credentials, use Kubernetes configuration from drop down.

execute the below command to get kubeconfig info, copy the entire content of the file:

sudo cat ~/.kube/config

Enter ID as K8S and choose enter directly and paste the above file content and save.

Step # 3 - Create a pipeline in Jenkins

Create a new pipeline job.

Step # 4 - Copy the pipeline code from below
Make sure you change red highlighted values below:
Your docker user id should be updated.
your registry credentials ID from Jenkins from step # 1 should be copied

pipeline {

     agent {
         label 'myslave'
     }
        environment {
        //once you sign up for Docker hub, use that user_id here
        registry = "your_docker_hub_user_id/mypython-app"
        //- update your credentials ID after creating credentials for connecting to Docker Hub
        registryCredential = 'dockerhub'
        dockerImage = ''
    }
    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 registry
                }
            }
        }
       
         // Uploading Docker images into Docker Hub
    stage('Upload Image') {
     steps{   
         script {
            docker.withRegistry( '', registryCredential ) {
            dockerImage.push()
            }
        }
      }
    }
   
    stage ('K8S Deploy') {
        steps {
            script {
                kubernetesDeploy(
                    configs: 'k8s-deployment.yaml',
                    kubeconfigId: 'K8S',
                    enableConfigSubstitution: true
                    )           
               
            }
        }
    }
  
    }  
}

Step # 5 - Build the pipeline

Once you create the pipeline and changes values per your Docker user id and credentials ID, click on 

Step # 6 - Verify deployments to K8S

kubectl get pods

kubectl get deployments

kubectl get services

Steps # 7 - Access Python App in K8S cluster

Once build is successful, go to browser and enter master or worker node public ip address along with port number mentioned above

http://master_or_worker_node_public_ipaddress:port_no_from_above

You should see page like below:

Please watch the above steps in YouTube channel: