Integrating Logstash and Kibana for Full-Stack Monitoring Solutions

Authors: Anishkumar Sargunakumar

DOI: https://doi.org/10.5281/zenodo.15086579

Short DOI: https://doi.org/g89tfc

Country: United States

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Abstract: In today’s dynamic application ecosystems, full-stack monitoring is essential for ensuring performance, reliability, and rapid issue resolution. Traditional monitoring methods often provide fragmented insights, leaving gaps in visibility. This paper explores the integration of Logstash and Kibana — key components of the Elastic Stack — to build a comprehensive, scalable, and resilient monitoring solution. The architecture, implementation strategies, and real-world benefits are analyzed, alongside challenges and best practices. By combining Logstash's data processing capabilities with Kibana's interactive visualizations, organizations can achieve proactive system oversight, accelerate troubleshooting, and ensure optimal performance across distributed environments. This approach not only supports modern microservices and cloud architectures but also enables historical analysis and predictive monitoring for data-driven decision-making.

Keywords: Logstash, Kibana, Elasticsearch, cloud computing, Alerting

Paper Id: 232279

Published On: 2020-01-21

Published In: Volume 8, Issue 1, January-February 2020

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