Automation and DevOps in Database Management: Advancing Efficiency, Reliability, and Innovation in Modern Data Ecosystems
DOI:
https://doi.org/10.15662/IJEETR.2024.0605016Keywords:
DevOps, Data, Automation, AI, Database Management, InnovationAbstract
The present paper addresses the advantages of automation and DevOps as a hybrid to maintain databases within the existing systems. It shows how such tools reduce the number of manual operations, increase reliability of the work, and decrease the period of data work. The use of Artificial Intelligence and Machine Learning in enhancing automation by means of smart tuning and testing is also discussed in the paper. The results indicate that DevOps assists the teams to cooperate better and implement safe and rapid updates. There are also better security and compliance with the help of automation. This paper demonstrates that databases become more efficient, stable, and prepared to face challenges of cloud and data problems in the future through automation and DevOps
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