Vol. 15 No. 11 (2023): Emerging Trends in Machine Intelligence and Big Data - 1511
Articles

Monitoring and Managing Production-Ready Microservices with Spring Boot Actuator: An In-Depth Analysis of Best Practices, Real-World Appli- cations, and Automation Benefits

Anirudh Bhattarai
Department of Computer Science, Madan Bhandari Memorial College, Tribhuvan University, Kathmandu, Nepal

Published 2023-11-22

How to Cite

Bhattarai, A. (2023). Monitoring and Managing Production-Ready Microservices with Spring Boot Actuator: An In-Depth Analysis of Best Practices, Real-World Appli- cations, and Automation Benefits. Emerging Trends in Machine Intelligence and Big Data, 15(11), 56–65. Retrieved from https://orientreview.com/index.php/etmibd-journal/article/view/79

Abstract

Microservices architecture has revolutionized the way software applications are developed, deployed, and managed. With the increasing complexity of distributed systems, effective monitoring and management are crucial to ensure the stability, performance, and reliability of microservices in production environments. Spring Boot Actuator is a powerful toolset designed to facilitate the monitoring and management of Spring Boot applications. This paper provides an in-depth analysis of best practices, real-world applications, and the benefits of automation in monitoring and managing production-ready microservices using Spring Boot Actuator. The discussion begins by exploring the core functionalities of Spring Boot Actuator and its integration with other tools and platforms. We then delve into the best practices for configuring, securing, and scaling these microservices in production. The paper also examines case studies and real-world scenarios to illustrate how organizations have leveraged Spring Boot Actuator to enhance their operational capabilities. Finally, we analyze the role of automation in streamlining monitoring and management tasks, highlighting the benefits of integrating Spring Boot Actuator with continuous integration and continuous deployment (CI/CD) pipelines. Through this comprehensive analysis, the paper aims to provide actionable insights for developers and DevOps teams looking to optimize the performance and manageability of their microservices architectures.