How to Use NLog for Structured Logging

The text discusses the inefficiencies of using unstructured string logs and advocates for structured logging, particularly using JSON serialization, to enhance data readability and utility. It highlights the transition from traditional logging practices, where data is embedded in text strings, to using structured logs that facilitate easier data extraction and analysis. The author illustrates this with an example using the Elastic stack and a .NET console app, demonstrating how logs can be aggregated and visualized in Kibana. By using structured logging, the author shows how it becomes possible to efficiently search, filter, and analyze log data, allowing for the creation of insightful dashboards and monitoring tools without the need for complex regex patterns. The setup involves using Docker to run Elasticsearch, Logstash, and Kibana with configurations that enable the seamless ingestion and visualization of log data, ultimately enhancing system monitoring and troubleshooting processes.