AI-Powered Solutions for Proactive Monitoring and Alerting in Cloud-Based Architectures

Siddharth Choudhary Rajesh

New York University, New York, NY 10012, United States, rchoudhary.sid@gmail.com

Daksha Borada

Assistant Professor, IILM University, Greater Noida, d.borada@iilm.edu

Abstract – The proliferation of cloud-based architectures has necessitated innovative approaches to ensure the reliability, performance, and security of systems. AI-powered solutions are emerging as transformative tools for proactive monitoring and alerting, enabling organizations to anticipate and address potential issues before they impact operations. This paper explores the integration of artificial intelligence (AI) into cloud monitoring frameworks, focusing on its ability to analyze vast amounts of data in real time, identify anomalous patterns, and predict system failures. Key advancements include the deployment of machine learning algorithms for adaptive alerting, natural language processing (NLP) for contextual incident analysis, and automation for seamless remediation. By leveraging AI, organizations can achieve enhanced scalability, reduced downtime, and improved resource optimization. This study highlights the challenges and opportunities in adopting AI-driven proactive monitoring, offering insights into the future of intelligent cloud management and its role in fostering resilient digital ecosystems.

Keywords – AI-powered monitoring, proactive alerting, cloud-based architectures, machine learning, anomaly detection, predictive analytics, system reliability, adaptive alerting, resource optimization, intelligent cloud management.

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• Bhat, Smita Raghavendra, Aravind Ayyagari, Ravi Kiran Pagidi, Dr. S P Singh, Prof. (Dr.) Sandeep Kumar, and Shalu Jain. 2024. “Optimizing Cloud-Based SQL Query Performance for Data Analytics.” International Journal of Worldwide Engineering Research 02(11):285-301. 
• Abdul, Rafa, Arth Dave, Rahul Arulkumaran, Om Goel, Lalit Kumar, and Arpit Jain. 2024. “Impact of Cloud-Based PLM Systems on Modern Manufacturing Engineering.” International Journal of Research in Modern Engineering and Emerging Technology 12(5):53. https://www.ijrmeet.org. 
• Abdul, R., Khan, I., Vadlamani, S., Kumar, D. L., Goel, P. (Dr) P., & Khair, M. A. (2024). “Integrated Solutions for Power and Cooling Asset Management through Oracle PLM.” Journal of Quantum Science and Technology (JQST), 1(3), Aug(53–69). Retrieved from https://jqst.org/index.php/j/article/view/90. 
• Abdul, Rafa, Priyank Mohan, Phanindra Kumar, Niharika Singh, Prof. (Dr.) Punit Goel, and Om Goel. 2024. “Reducing Supply Chain Constraints with Data-Driven PLM Processes.” International Journal of Worldwide Engineering Research 02(11):302-317. e-ISSN 2584-1645. 
• Gaikwad, Akshay, Pattabi Rama Rao Thumati, Sumit Shekhar, Aman Shrivastav, Shalu Jain, and Sangeet Vashishtha. “Impact of Environmental Stress Testing (HALT/ALT) on the Longevity of High-Risk Components.” International Journal of Research in Modern Engineering and Emerging Technology 12(10): 85. Online International, Refereed, Peer-Reviewed & Indexed Monthly Journal. ISSN: 2320-6586. Retrieved from ijrmeet.org. 
• Gaikwad, Akshay, Dasaiah Pakanati, Dignesh Kumar Khatri, Om Goel, Dr. Lalit Kumar, and Prof. Dr. Arpit Jain. “Reliability Estimation and Lifecycle Assessment of Electronics in Extreme Conditions.” International Research Journal of Modernization in Engineering, Technology, and Science 6(8):3119. Retrieved October 24, 2024 (https://www.irjmets.com). 
• Dharuman, Narrain Prithvi, Srikanthudu Avancha, Vijay Bhasker Reddy Bhimanapati, Om Goel, Niharika Singh, and Raghav Agarwal. “Multi Controller Base Station Architecture for Efficient 2G 3G Network Operations.” International Journal of Research in Modern Engineering and Emerging Technology 12(10):106. ISSN: 2320-6586. Online International, Refereed, Peer-Reviewed & Indexed Monthly Journal. ijrmeet.org. 
• Dharuman, N. P., Thumati, P. R. R., Shekhar, S., Shrivastav, E. A., Jain, S., & Vashishtha, P. (Dr) S. “SIP Signaling Optimization for Distributed Telecom Systems.” Journal of Quantum Science and Technology (JQST), 1(3), Aug(305–322). Retrieved from https://jqst.org/index.php/j/article/view/122. 
• Prasad, Rohan Viswanatha, Shyamakrishna Siddharth Chamarthy, Vanitha Sivasankaran Balasubramaniam, Msr Prasad, Sandeep Kumar, and Sangeet. “Observability and Monitoring Best Practices for Incident Management in DevOps.” International Journal of Progressive Research in Engineering Management and Science (IJPREMS) 4(6):2650–2666. doi:10.58257/IJPREMS35035. 
• Prasad, Rohan Viswanatha, Aravind Ayyagari, Ravi Kiran Pagidi, S. P. Singh, Sandeep Kumar, and Shalu Jain. “AI-Powered Data Lake Implementations: Improving Analytics Efficiency.” International Journal of Research in Modern Engineering and Emerging Technology (IJRMEET) 12(5):1. Retrieved from ijrmeet.org. 
• Viswanatha Prasad, Rohan, Indra Reddy Mallela, Krishna Kishor Tirupati, Prof. (Dr.) Sandeep Kumar, Prof. (Dr.) MSR Prasad, and Prof. (Dr.) Sangeet Vashishtha. “Designing IoT Solutions with MQTT and HiveMQ for Remote Management.” International Journal of Worldwide Engineering Research 2(11): 251-267.