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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM35637

The Future of DevOps Compute: A Survey of Innovative Strategies for Efficient Resource Utilization

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM35637

Volume:

8 |

6 |

Jun 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM35637

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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Authors

AJ

Anushka Jindal

DGSM

Dr. G S Mamatha

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Abstract

This paper investigates innovative strategies employed by DevOps teams to optimize compute resource utilization within their environments. High compute resource utilization is critical for efficient application development and deployment in DevOps workflows. Traditional virtual machines (VMs) often lead to resource waste due to overprovisioning and static allocation. This research analyzes the growing adoption of containers for achieving higher density and finer-grained resource control. Additionally, the impact of autoscaling and serverless functions on dynamically adjusting compute resources based on real-time demand is examined. Through a comprehensive survey, the paper identifies key trends, challenges, and best practices associated with optimizing compute utilization in DevOps. The findings aim to guide DevOps teams towards efficient and cost-effective compute resource management strategies within the ever- evolving landscape of application development.

KEYWORDS

DevOps Compute Resource Utilization Containers Virtual Machines Autoscaling Serverless Functions Resource Management Application Development Cost Optimization Dynamic Resource Allocation

Cite This Article

Anushka Jindal, Dr. G S Mamatha, "The Future of DevOps Compute: A Survey of Innovative Strategies for Efficient Resource Utilization," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 6, Jun 2024. https://doi.org/10.55041/IJSREM35637

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Publication Date

11/5/2024

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