• Post category:StudyBullet-5
  • Reading time:4 mins read




What you will learn

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Production ready Kubernetes setup for Continuous deployment in DEVOPS

Description

Do you want to build a CI/CD pipeline to Deploy Applications or Microservices on AKS & EKS Kubernetes Cluster by using helm and Jenkinsfile? then you are at the right place.

In this course, I have created a complete CI/CD pipeline to run a java Springboot application. In this learning journey, you have introduced tools like Github, Jenkins, maven, docker,Β  helm and Kubernetes (AKS & EKS)

Here you can see a CI/CD pipeline by using tools using Git, Jenkins, helm, Docker, and Kubernetes. This gives some light on how the IT industry uses Kubernetes Cluster

I have over 12+ years of experience in DevOps, Azure & AWS cloud and have a deep understanding of this domain. So, I will be teaching you in detail with the step-by-step demonstration.

This course is not for the beginners and you should have prior knowledge about kubernetes, git, Jenkins.

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This course is the best way to learn the deployments on Kubernetes skills you will need to succeed in your DevOps career.

Who is this course for?

  • Anyone who wants to build CI/CD pipelineΒ  to Deploy Applications or Microservices on AKS & EKS Kubernetes Cluster by using helm and Jenkinsfile

  • Anyone who wants to Enhance their skills in this domain

  • Who want to know real time deployment of microservice or application on Kubernetes cluster by using helm charts.

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English
language

Content

Introduction

Introduction
What do we cover
Kubernetes Project Flow
Installing Jenkins Server for CI CD to kubernetes
Maven and Docker setup in Jenkins
Kubernetes Cluster setup with Kubeadm on AWS Instances
What is Helm
Architecture of Helm.
Configure helm in Jenkins and tiller in Kubernetes Cluster
Deploy Sample Application on Kubernetes Cluster with Helm
helmchart-creation
Continuous Integration of JAVA Application with Jenkins Declarative Pipeline
Deploy JAVA Application on Kubernetes Cluster with Jenkinsfile by using helm
Deploying Metrics-server in Kubernetes for Horizontal Pod Autoscaler
Autoscaling of Pods for High CPU Utilization (HPA – Horizontal Pod Autoscaler)
Autoscaling of Pods for High Memory utilization
EFK- Log Aggregation (Elasticsearch, Fluend _ Kibana)

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