Monitoring Distributed Cloud-Based Microservices applications: Concepts and Best Practices

Authors: Rahul Govind Brid

DOI: https://doi.org/10.37082/IJIRMPS.v13.i1.232168

Short DOI: https://doi.org/g86qjc

Country: United States

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Abstract: The increasing adoption of cloud-based architectures has revolutionized software development and deployment. However, the dynamic and distributed nature of these environments presents significant challenges for monitoring. Traditional monitoring approaches often struggle to provide the comprehensive visibility and actionable insights needed to ensure optimal performance, availability, and user experience. Effective monitoring in the cloud requires a holistic strategy that encompasses observability, application performance monitoring (APM), and infrastructure health assessment.
This paper explores key concepts and best practices for monitoring cloud-based applications, focusing on the challenges and solutions related to microservices and distributed systems. It presents a framework for achieving comprehensive observability, covering infrastructure health assessment, application performance monitoring, log aggregation, and distributed tracing. Various monitoring methodologies and tools are discussed, including AI-powered solutions and session monitoring techniques, to help organizations build a robust monitoring strategy capable of addressing the complexities of modern cloud deployments. Real-world examples illustrate the practical application of these principles and demonstrate the value of a well-defined monitoring strategy.

Keywords: Cloud-based monitoring, Microservices observability, Application performance monitoring, Distributed tracing, Log aggregation, Infrastructure health monitoring, Session monitoring, Anomaly detection, AI-driven monitoring, Proactive monitoring, Cloud-native monitoring tools, Self-healing systems.

Paper Id: 232168

Published On: 2025-02-27

Published In: Volume 13, Issue 1, January-February 2025

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