Advanced Monitoring Techniques for Cloud-Based Applications
DOI:
https://doi.org/10.47363/JAICC/2022(1)E105Keywords:
Cloud Monitoring, Application Performance, Advanced Monitoring Techniques, Real-Time Monitoring, Anomaly Detection, Predictive AnalyticsAbstract
Monitoring cloud-based applications is essential for ensuring their performance, availability, and security. This paper explores advanced monitoring techniques tailored for cloud-based applications, considering the unique challenges and opportunities presented by cloud environments. Beginning with an overview of cloud-based application architecture and the importance of monitoring, the paper delves into advanced monitoring methodologies, including real-time monitoring, anomaly detection, and predictive analytics. It examines the integration of monitoring tools with cloud-native services and platforms, such as AWS CloudWatch and Azure Monitor, to provide comprehensive visibility into application performance and infrastructure health. Furthermore, the paper discusses the role of monitoring in optimizing resource utilization, detecting security threats, and facilitating compliance with regulatory requirements. By leveraging advanced monitoring techniques, organizations can enhance the reliability, scalability, and resilience of their cloudbased applications, thereby maximizing the benefits of cloud computing.
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Copyright (c) 2022 Journal of Artificial Intelligence & Cloud Computing

This work is licensed under a Creative Commons Attribution 4.0 International License.