Best Practices for Managing Java-Based Production Systems

Authors

  • Omar Al-Farsi Department of Computer Science, University of Qatar
  • Fatima El-Sayed Department of Computer Science, University of Cairo

Keywords:

Java application monitoring, performance surveillance, Spring Boot Actuator, JVM optimization, holistic monitoring

Abstract

Java has long been a cornerstone technology in enterprise computing, known for its robustness, portability, and scalability. From web applications to large-scale enterprise systems, Java provides a versatile platform that can adapt to various business needs. Among the various frameworks available for building Java applications, Spring Boot has gained significant popularity due to its ability to simplify development, streamline configurations, and accelerate time-to-market. However, managing Spring Boot applications in a production environment presents unique challenges that require a well-structured approach to ensure they remain reliable, secure, and efficient. Spring Boot Actuator is a powerful tool that provides production-ready features such as monitoring, metrics, health checks, and more. It integrates seamlessly with Spring Boot applications, offering endpoints that allow administrators to monitor and manage their applications effectively. This paper aims to explore best practices for managing Java-based production systems, with a particular emphasis on leveraging Spring Boot Actuator alongside other tools and strategies. The structure of this paper includes several sections: continuous monitoring using Spring Boot Actuator, scalability considerations, security best practices, and performance optimization techniques. Each section provides detailed insights and recommendations for managing Spring Boot applications in a production environment, ensuring they can meet the demands of modern enterprise systems while minimizing operational risks.

 

Author Biographies

Omar Al-Farsi, Department of Computer Science, University of Qatar

 

 

 

Fatima El-Sayed, Department of Computer Science, University of Cairo

 

 

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Published

2024-01-17

How to Cite

Omar Al-Farsi, & Fatima El-Sayed. (2024). Best Practices for Managing Java-Based Production Systems. Sage Science Review of Applied Machine Learning, 7(1), 30–41. Retrieved from https://journals.sagescience.org/index.php/ssraml/article/view/178