International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Integrating Monitoring and Logging Solutions: Maximizing Visibility in Cloud Environments

Author(s) Sambhav Patil, Abhishek Kartik Nandyala
Country India
Abstract This research paper aims to look at how solutions of monitoring and or logging can be used to get the best visibility within clouds. Based on the results of surveys, case analysis and experimental processing, the growth of the use of centralized logging systems is shown, where 72% of companies use such solutions. The necessity of real-time monitoring is considered significant by number of respondents, 85% of them, which proves its importance for system availability. Machine learning takes anomaly detection to greater levels of efficiency, at 95%, and automation trims time duration needed for log analysis and it is in a ratio 1/15 = 2 minutes per log. Alerting has uncovered a 68% log encryption adoption rate, and breach detection time saves through automation. The present study also found other factors such as scalability and allocation of resources as some of the challenges of using SIEM tools Similarly, the preferred tool of the participants are equally divided between ELK Stack 30% and Splunk 28%. Therefore, due to the recommendations of the work, there is an urgent need to develop solutions that adapt quickly and automate the processes to enhance operation effectiveness and compliance. The findings of this research offer explicit prescriptive advice for organisations that are looking to improve their monitoring and logging practices in flexible cloud environments.
Keywords cloud monitoring, centralized logging, real-time monitoring, anomaly detection, machine learning, cloud security
Field Engineering
Published In Volume 7, Issue 1, January-February 2025
Published On 2025-02-16
DOI https://doi.org/10.36948/ijfmr.2025.v07i01.34543
Short DOI https://doi.org/g8474n
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E-ISSN 2582-2160
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