Kubernetes Project-2022 CI/CD with Jenkins helm on AKS & EKS

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Kubernetes Project-2022 CI/CD with Jenkins helm on AKS & EKS provided by Udemy is a comprehensive online course, which lasts for 7 hours worth of material. Kubernetes Project-2022 CI/CD with Jenkins helm on AKS & EKS is taught by Praveen Kumar. Upon completion of the course, you can receive an e-certificate from Udemy. The course is taught in Englishand is Paid Course. Visit the course page at Udemy for detailed price information.

Overview
  • This course helps you to deploy Applications on EKS & AKS Kubernetes cluster with CI/CD pipelines by using helm charts

    What you'll learn:

    • Production ready Kubernetes setup for Continuous deployment in DEVOPS

    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, 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.


    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 pipeline 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.