dotnet-structured-logging

To set up structured logging in .NET distributed systems, design a log aggregation pipeline using tools like ELK, Seq, or Grafana Loki, and route logs via the OpenTelemetry Collector for efficient centralized data management and analysis.

The best way to scrub PII from .NET application logs is to implement specific masking strategies within your log pipeline, ensuring sensitive customer data is removed or masked before logs reach aggregation platforms like ELK or Seq.

Cross-service log correlation with W3C Trace Context in .NET works by propagating custom IDs and TraceIds across multiple services, allowing you to easily query and trace requests through the entire distributed system for debugging.

To query specific TraceIds in Grafana Loki or Elasticsearch, use the structured query patterns designed for these aggregation platforms, which allow you to quickly find specific information and trace requests across your microservices.

You should use log sampling strategies in .NET pipelines when managing high-volume distributed systems, as sampling reduces the amount of log data emitted and processed, ensuring efficient data management and query performance in your aggregation layer.

Yes, you can use the OpenTelemetry Collector to route logs to both Elasticsearch and Loki, designing a robust log aggregation pipeline that centralizes data from your .NET distributed systems for efficient querying and analysis.