Elasticsearch's version 5.0 introduces Ingest Nodes as a new feature to perform data transformation and enrichment within the Elastic Stack. These nodes utilize processors, which are configured into pipelines to handle tasks such as renaming fields or parsing logs. The Ingest Node includes 20 built-in processors, like grok and date, and supports plugins such as Ingest Attachment, Geoip, and User Agent for additional functionality. Users can configure pipelines through the _ingest API, and the Simulate API allows testing configurations before processing real data. An example demonstrates how an Ingest pipeline can parse web logs in the Combined Log Format to extract and transform data into structured fields, which enhances search and visualization capabilities within Elasticsearch. The blog concludes by mentioning a forthcoming guide on using Filebeat, Elasticsearch, and Kibana for web log ingestion and visualization.