The article explores the use of the ELK stack—Elasticsearch, Logstash, and Kibana—for analyzing web logs in the cloud, specifically using Microsoft's Internet Information Services (IIS) logs. It highlights the process of configuring Logstash to parse and process log data from an IIS-based web search application, creating custom grok patterns for non-standard log formats, and utilizing Kibana for visual representation of data. The author details creating visualizations to analyze search terms and request patterns, emphasizing the importance of correctly indexing fields for better data insights. The piece concludes by encouraging further exploration of the ELK stack, offering resources for deeper learning and mastery of data aggregation in Elasticsearch.