Enrique Kortright's blog post illustrates the use of Elastic Observability to monitor Java applications, focusing on creating multiservice traces and correlated logs using Java ECS logging and APM log correlation. The process involves configuring a sample Java Spring application with a data-access microservice backed by MySQL, then adding a second microservice to generate comprehensive traces. The post guides readers through setting up the environment, using Filebeat to ship logs to Elasticsearch, and visualizing data with Kibana's APM app, emphasizing the importance of structured logging for effective log correlation. Additionally, it provides examples of custom instrumentation with the Elastic Java Agent API, showcases the potential of Elastic's machine learning features for anomaly detection in application performance data, and highlights the use of service maps and visualizations for detailed analysis of application behavior. By integrating these tools, the post demonstrates how Elastic APM can provide a thorough monitoring solution for complex Java applications, enhancing performance insights and facilitating troubleshooting.