David Pilato's article explores the concept of enriching Elasticsearch documents from the edge using Elastic Agent processors, which parse, filter, transform, and enrich data at the source. This approach aims to reduce the workload on Elasticsearch itself by allowing data enrichment to occur before it reaches Elasticsearch. Pilato discusses how Elastic Agent processors can add fields based on conditions, utilize scripts in JavaScript to automate enrichment, and demonstrate how multiple scripts can be managed. However, he notes the limitation that these processors cannot enrich events with data from Elasticsearch or other custom sources, necessitating predefined enrichments. While edge enrichment is less flexible than enriching directly in Elasticsearch or using Logstash to speed up lookups, it offers a simpler implementation. The article provides practical examples of using Elastic Agent processors, including condition-based field addition and script usage, and encourages readers to discuss further on the Elastic community forum.