Monitoring and Logging Best Practices in Java Microservices for Effective Software Development

Abstract In the era of microservices architecture, effective monitoring and log The complexity of administering and observing these systems increases with the distribution of applications, so it is crucial to have strong monitoring and logging procedures in place. Best practices for Java microservices monitoring and logging are examined in this article, with a focus on the value of real-time insights into application activity, performance indicators, and error tracking. Effective monitoring and logging are made possible by a number of tools and frameworks, including Prometheus, Grafana, and ELK Stack. We also go over how to incorporate these techniques into the software development lifecycle. Additionally, We emphasize how important distributed tracing and structured logging are for improving observability across microservices. Organizations may improve system dependability, proactively detect and fix problems, and improve overall software quality by implementing thorough monitoring and logging procedures. These actions will ultimately improve user experience and boost operational efficiency. Keywords Java, Microservices, Monitoring, Logging, Spring Boot, Observability, ELK Stack, Prometheus, Grafana, Distributed Tracing

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-08
DOI
https://doi.org/10.5281/zenodo.15362492
Primary Topic
Software System Performance and Reliability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Monitoring and Logging Best Practices in Java Microservices for Effective Software Development

Zenodo (CERN European Organization for Nuclear Research)
Software System Performance and Reliability
article

Monitoring and Logging Best Practices in Java Microservices for Effective Software Development

article en

Abstract

Abstract In the era of microservices architecture, effective monitoring and log The complexity of administering and observing these systems increases with the distribution of applications, so it is crucial to have strong monitoring and logging procedures in place. Best practices for Java microservices monitoring and logging are examined in this article, with a focus on the value of real-time insights into application activity, performance indicators, and error tracking. Effective monitoring and logging are made possible by a number of tools and frameworks, including Prometheus, Grafana, and ELK Stack. We also go over how to incorporate these techniques into the software development lifecycle. Additionally, We emphasize how important distributed tracing and structured logging are for improving observability across microservices. Organizations may improve system dependability, proactively detect and fix problems, and improve overall software quality by implementing thorough monitoring and logging procedures. These actions will ultimately improve user experience and boost operational efficiency. Keywords Java, Microservices, Monitoring, Logging, Spring Boot, Observability, ELK Stack, Prometheus, Grafana, Distributed Tracing

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 48%
Software System Performance and Reliability
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Monitoring and Logging Best Practices in Java Microservices for Effective Software Development · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS