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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM17005

Advancements in Blue-Green Deployment Techniques within Cloud Native Environments

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM17005

Volume:

6 |

11 |

Nov 2022

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM17005

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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RM

Ramasankar Molleti

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Abstract

Blue-green deployment has become very important in ensuring that there is minimal time when the system is offline and reducing other risks associated with updating the software in cloud-native architecture. This paper aims to discuss the modern trends in blue-green deployment, focusing on the change from simple to complex structures. In this paper, the discussion on Containerization, orchestration platforms, and automated testing pipelines has greatly improved the capability of blue-green deployment. Some of the issues that are covered include the issue of managing database schema, managing the resources that are used, and the real-life scenarios that are involved. Thus, the effectiveness of the metrics for measuring different aspects of the blue-green deployment is considered, and the influence of the approach on the frequency of deployment and system stability is discussed. This paper also discusses the future of the deployment research area and the possibility of incorporating artificial intelligence into the deployment processes suggesting that further development of intelligent and strong deployment in cloud-native environments is possible.

KEYWORDS

Blue-Green Deployment Cloud-Native Containerization Orchestration Continuous Deployment Traffic Routing

Cite This Article

Ramasankar Molleti, "Advancements in Blue-Green Deployment Techniques within Cloud Native Environments," International Journal of Scientific Research in Engineering and Management, vol. 6, no. 11, Nov 2022. https://doi.org/10.55041/IJSREM17005

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Publication Date

11/30/2022

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