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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      09 May 2023, Volume 38 Issue 3
    Article

    ACCELERATING CLOUD-NATIVE APPLICATIONS: AUTOMATED KUBERNETES CLUSTER DEPLOYMENT
    Dr. Smita Chavan1 , Dr. Rupali Mahajan2 Dr.Prajakta Ajay Khadkikar3
    Journal of Data Acquisition and Processing, 2023, 38 (3): 1312-1324 . 

    Abstract

    Nowadays, cloud computing provides a lot of services, as per user application services are used. Paper is based on DevOps. It can be mostly specified like a set of practices expected to decrease the time among com- mitting a change to a system also the change being sited into normal production, although guaranteeing high quality. In the present scenario, IAAS clouds significance has been understood ahead of measures. Main objec- tive of the proposed system is continuous delivery (CD) and continuous integration (CI), is called the core of devops. In the proposed system, from understanding DevOps and why DevOps is necessary in today's world is clearly mentioned. As we know, in a production environment, deploying Kubernetes clusters manually is diffi- cult and time consuming. So, we are creating a Kubernetes cluster on a public cloud, where instances and the Kubernetes cluster will be created using ansible. One of the additional functionalities of this project is, even if the node count is increased or decreased, change will be triggered by Jenkins and a new Kubernetes cluster will be launched on the public cloud seamlessly. So the idea of the system by developing a project using some ad- vanced tools, to overcome the drawbacks of the existing work. System also looked at the working mechanism of each module.

    Keyword

    Kubernetes, Ansible , Git , Jenkins , AWS, DevOps


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