Structured Logging in .NET with Serilog and ClickHouse

The text discusses the integration of Serilog with ClickHouse to improve logging infrastructure in .NET applications, highlighting the challenges of scaling traditional logging systems like Seq or ELK due to cost and performance issues. ClickHouse, a column-oriented analytical database, offers a solution by storing massive volumes of structured logs, which can be queried using SQL, providing fast and efficient data retrieval. The article provides a step-by-step guide on setting up an ASP.NET service that writes structured logs to ClickHouse using Serilog, focusing on schema design, log enrichment, SQL querying, and diagnostics. It emphasizes ClickHouse's advantages, such as 10–20x data compression, full-text search, and cost-effectiveness compared to traditional logging platforms. Additionally, the text illustrates the use of Docker for infrastructure setup and offers insights into optimizing ClickHouse performance for production environments, including batching, partitioning, and real-time alerting through materialized views.