Daniel Berman's article provides a detailed guide on using the ELK Stack's Metricbeat to monitor Docker deployments by collecting and analyzing Docker-specific metrics. The article outlines the installation and configuration process of Elasticsearch, Kibana, and Metricbeat, focusing on Metricbeat's Docker module, which collects various metricsets such as container, CPU, and memory metrics. It explains how to configure Metricbeat to send data to Elasticsearch for visualization in Kibana, and optionally to Logz.io for further analysis. Berman highlights the ease and cost-effectiveness of this method for monitoring Docker performance and offers examples of visualizations, such as memory usage and network packets, to help users gain insights into their Docker environments. He notes that while Metricbeat is excellent for metrics, additional tools might be needed to collect Docker daemon events and logs for comprehensive monitoring.