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

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.

Authors

Publication Details

Journal
International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences
Published
2025-02-27
DOI
https://doi.org/10.37082/ijirmps.v13.i1.232168
Primary Topic
Software System Performance and Reliability
Type
article
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article

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

Rahul Govind Brid -
International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences
Software System Performance and Reliability
article

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

Rahul Govind Brid -
article en

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.

International Journal of Innovative Research in Engineering & Multidisciplinary Physical SciencesVol. 13(1)
Openalex Percentile: Top 97%
Software System Performance and Reliability
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Monitoring Distributed Cloud-Based Microservices applications: Concepts and Best Practices — Rahul Govind Brid - · International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences (2025) | TGRS Research Map | TGRS