Java is a widely-used programming language that supports cross-platform software development, exemplified by its role in powering Android and Elasticsearch. Effective log management is crucial for Java applications to ensure operational visibility and facilitate troubleshooting. This tutorial explores using the ELK Stack (Elasticsearch, Logstash, and Kibana) and Logz.io for managing Java logs. It provides guidance on writing logs with the Log4j2 library, configuring Log4j2 for JSON output, and shipping logs to Elasticsearch either directly or via Filebeat, a lightweight log shipper. While direct shipping offers speed, it may affect application performance and risk data loss if the application crashes. Filebeat, on the other hand, provides a more robust solution by offloading log responsibility to disk. Additionally, the tutorial covers sending logs to Logz.io, a managed ELK Stack platform, offering the benefits of ELK without the overhead of infrastructure management. Kibana aids in analyzing logs, providing search, visualization, and dashboard capabilities for efficient troubleshooting, which is increasingly vital in distributed systems and microservices architectures.