Provisioning a Reliable Kubernetes cluster with CI/CD

In today’s fast-paced IT environment, adopting Infrastructure-as-Code mechanisms to automate the provisioning of servers, virtual machines, and Kubernetes clusters has become essential. However, relying solely on IaC mechanisms can result in issues such as package versions, configuration errors, and manual script modifications leading to provisioning failures and wasted time. This study introduces the CSIT Golden IaC Framework at the Computer Science Information Technologies Center of National Yang Ming Chiao Tung University, which combines Golden Images with existing IaC scripts and integrates Continuous Integration/Continuous Delivery mechanisms to ensure rapid and reliable provisioning of identical environments. Experimental results show significant time savings and error reduction, paving the way for automated management of Kubernetes clusters.

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Publication Details

Published
2024-10-24
DOI
https://doi.org/10.1109/ics64339.2024.00020
Primary Topic
Distributed and Parallel Computing Systems
Type
article
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article

Provisioning a Reliable Kubernetes cluster with CI/CD

Chien‐Chao Tseng, Chih‐Chia Wang
Distributed and Parallel Computing Systems
article

Provisioning a Reliable Kubernetes cluster with CI/CD

Chien‐Chao Tseng, Chih‐Chia Wang
article en

Abstract

In today’s fast-paced IT environment, adopting Infrastructure-as-Code mechanisms to automate the provisioning of servers, virtual machines, and Kubernetes clusters has become essential. However, relying solely on IaC mechanisms can result in issues such as package versions, configuration errors, and manual script modifications leading to provisioning failures and wasted time. This study introduces the CSIT Golden IaC Framework at the Computer Science Information Technologies Center of National Yang Ming Chiao Tung University, which combines Golden Images with existing IaC scripts and integrates Continuous Integration/Continuous Delivery mechanisms to ensure rapid and reliable provisioning of identical environments. Experimental results show significant time savings and error reduction, paving the way for automated management of Kubernetes clusters.

National Yang Ming Chiao Tung University (TW)
Affordable and clean energy
Openalex Percentile: Top 65%
Distributed and Parallel Computing Systems
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