International Journal on Science and Technology

E-ISSN: 2229-7677     Impact Factor: 9.88

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 16 Issue 3 July-September 2025 Submit your research before last 3 days of September to publish your research paper in the issue of July-September.

Kibana Deployment in AWS for Log Analysis: A Research-Based Study on Observability and Elastic Stack Integration

Author(s) Satish Yerram
Country United States
Abstract Modern distributed applications produce an overwhelming amount of log data across services, nodes, and containers. Efficient log analysis and visualization are essential for maintaining operational integrity, security, and performance. Kibana [1], the visualization layer of the Elastic Stack (ELK), when deployed in AWS, enables scalable and interactive exploration of log data. This paper presents a research-driven study on deploying Kibana [1] in the AWS environment, integrating it with Elasticsearch and Logstash/Filebeat [3] for centralized log aggregation. It explores architectural patterns, deployment methods (including managed services like Amazon OpenSearch [2]), and the benefits of real-time log exploration for DevOps, security, and compliance.
Keywords Logs, Log Analyzer, Monitoring, Query.
Field Engineering
Published In Volume 16, Issue 3, July-September 2025
Published On 2025-08-29
DOI https://doi.org/10.71097/IJSAT.v16.i3.8001
Short DOI https://doi.org/g92ntk

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