December 30, 2023Engineering Science & Technology Journal

AI-driven devops: Leveraging machine learning for automated software deployment and maintenance

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Authors

OOOyekunle Claudius Oyeniran AAAdebunmi Okechukwu AdewusiUniversity of Ilorin AAAdams Gbolahan AdelekeUniversitas Kristen Indonesia Tomohon

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Implication

Observational analysis highlights improved system performance through AI-driven practices in software development, suggesting a shift to automated solutions.

Key Points

Integrating AI into DevOps improves reliability and efficiency, reducing errors in deployment processes.
The use of predictive analytics can significantly enhance deployment accuracy and identify issues in real-time.
Automation in software maintenance leads to self-healing infrastructure that minimizes downtime significantly.
Addressing challenges like data quality and integration complexity is crucial for the successful adoption of AI-driven DevOps.

Cite This Study

Oyeniran et al. (2023) studied this question.

synapsesocial.com/papers/68c23837b210217d647768fa https://doi.org/10.51594/estj.v4i6.1552

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Implication

Observational analysis highlights improved system performance through AI-driven practices in software development, suggesting a shift to automated solutions.

AI-driven devops: Leveraging machine learning for automated software deployment and maintenance

Discussion

Member takes

Implication

Key Points

Cite This Study

AI-driven devops: Leveraging machine learning for automated software deployment and maintenance

Discussion

Member takes

Implication

Key Points

Cite This Study

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