Java Garbage Collection is an automated process designed to optimize memory usage by identifying and removing unused objects from heap memory, thus freeing up space and enhancing program execution. The process can generate logs detailing each collection's results and duration, which can be monitored for application performance insights. The article elaborates on how to enable and understand these logs, and suggests using the ELK Stack for aggregating, processing, and analyzing the logs for better insights. This involves configuring tools like Filebeat and Logstash to forward the data to Elasticsearch, where it can be visualized in Kibana. The logs, detailing memory allocations across different heap generations, allow for tracking and troubleshooting performance issues, although their complexity can pose challenges in processing and visualization. The guide emphasizes the value of using centralized logging solutions to effectively manage and analyze Java Garbage Collection logs, providing readers with foundational knowledge to further explore data analysis in Kibana.