Install Helm 3 Linux - Setup Helm 3 on Linux | Install Helm 3 on Ubuntu | Setup Helm 3 on Linux

What is Helm?

Helm is a package manager for Kubernetes. Helm is the K8s equivalent of yum or apt. It accomplishes the same goals as Linux system package managers like APT or YUM: managing the installation of applications and dependencies behind the scenes and hiding the complexity from the user.

Helm helps you manage Kubernetes applications. Helm Charts helps you define, install, and upgrade even the most complex Kubernetes application. Charts are easy to create, version, share, and publish.

In helm 3 there is no tiller component. Helm client directly interacts with the kubernetes API for the helm chart deployment.

Helm 3 can be installed many ways. We will install Helm 3 using script

Download installables 

curl -fsSL -o get_helm.sh https://raw.githubusercontent.com/helm/helm/master/scripts/get-helm-3

provide permission
sudo chmod 700 get_helm.sh

Execute script to install
sudo ./get_helm.sh

 
Verify installation

helm version --client

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How to upload Docker images to Azure Container Registry | Hosting Docker images in Azure Container Registry

Azure Container Registry is a managed, private docker registry service. You can create and maintain Azure container registries to store and manage your private Docker container images.

It is alternative to Docker Hub. Azure Container Registry allows you to build, store, and manage container images and artifacts in a private registry for all types of container deployments.

Let us see how to upload a docker images from your VM into ACR.

Watch the steps below in YouTube channel:

Pre-requistes:

Make sure you have docker installed on your VM.
 

Step 1 - Create Azure Container Registry (ACR)

Go to https://portal.azure.com/
Create a Resource, Give container registry as a name

Click on Create

  

Enter values as mentioned below:

Give registry name, resource group and choose Enable admin user and SKU as Basic 

 Click on Review and then create, now your container registry is been created.

Step 2 - Download sample Python App

Go to your machine where you have docker images stored. perform below command to download sample pythonapp which is already dockerized.

 

git clone https://bitbucket.org/ananthkannan/mydockerrepo/src/master/pythonApp/ 

cd  pythonApp/pythonApp

Step 3 - Create docker image

docker build . -t mypythonapp

type below command:

sudo docker images

this should show docker images you have created locally.

Now go to ACR, click on docker registry you created. Click on access keys under Settings.

Copy value under login server 

Login to Azure Container Registry through command line.

sudo docker login mydockerazureregistry.azurecr.io

Username: mydockerazureregistry

Enter password by copying value below password

Step 4 - Tag and Push your docker image to ACR

Now tag the docker image per as below:

sudo docker tag mypythonapp mydockerazureregistry.azurecr.io/mypythonapp

sudo docker push mydockerazureregistry.azurecr.io/mypythonapp

That's it..Docker image is pushed into ACR. You can see it under Services--> repositories

Deploy Springboot Microservices App into Amazon EKS Cluster using Jenkins Pipeline | Containerize Springboot App and Deploy into EKS Cluster using Jenkins Pipeline

We will learn how to automate Docker builds using Jenkins and Deploy into AWS EKS - Kubernetes Cluster. 

We will use Springboot Microservices based Java 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 Hub
- Automating Deployments to Kubernetes Cluster

 

 

Please watch the above steps in YouTube channel:
 

Pre-requistes:
1. Amazon EKS Cluster is setup and running. Click here to learn how to create Amazon EKS cluster.

2. Jenkins Master is up and running

3. Setup Jenkins slave, install docker in it.
4. Docker, Docker pipeline and Kubernetes Deploy plug-ins are installed in Jenkins

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

6. Install kubectl on your instance

Step #1 -Make sure Jenkins can run Docker builds after validating per pre-requistes

Step #2 - 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 #3 - 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 #4 - set a clusterrole as cluster-admin

By default, clusterrolebinding has system:anonymous set which blocks the cluster access. Execute the following command to set a clusterrole as cluster-admin which will give you the required access.

kubectl create clusterrolebinding cluster-system-anonymous --clusterrole=cluster-admin --user=system:anonymous

Step # 5 - Create a pipeline in Jenkins

Create a new pipeline job.

Step # 6 - 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

node ("slave") {
  def image
  def mvnHome = tool 'Maven3'
     stage ('checkout') {
        checkout([$class: 'GitSCM', branches: [[name: '*/master']], doGenerateSubmoduleConfigurations: false, extensions: [], submoduleCfg: [], userRemoteConfigs: [[credentialsId: '', url: 'https://bitbucket.org/ananthkannan/myawesomeangularapprepo/']]])      
        }
   
    stage ('Build') {
            sh 'mvn -f MyAwesomeApp/pom.xml clean install'           
        }
       
       
    stage ('Docker Build') {
         // Build and push image with Jenkins' docker-plugin
            withDockerRegistry([credentialsId: "dockerhub", url: "https://index.docker.io/v1/"]) {
            image = docker.build("akdevopscoaching/mywebapp", "MyAwesomeApp")
            image.push()    
            }
        }

      stage ('K8S Deploy') {
       
                kubernetesDeploy(
                    configs: 'MyAwesomeApp/springboot-lb.yaml',
                    kubeconfigId: 'K8S',
                    enableConfigSubstitution: true
                    )           
               
            
        }
    
}

Step # 7 - Build the pipeline

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

Step # 8 - Verify deployments to K8S

kubectl get pods

kubectl get deployments

kubectl get services

Steps # 9 - Access SpringBoot 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: