How does this skill improve .NET logging?

It enforces structured logging using Serilog, which captures log data as key-value pairs rather than plain text, making logs significantly easier to search and analyze in tools like Seq or ELK.

What is the difference between liveness and readiness checks in this skill?

Liveness checks indicate if the process is running, while readiness checks verify that dependencies like databases and message brokers are available before serving traffic.

Can this skill help with sensitive data in logs?

Yes, the skill includes anti-patterns and guidance specifically designed to prevent the accidental logging of PII, passwords, or authentication tokens.

Does it support distributed tracing?

Yes, it integrates OpenTelemetry patterns and correlation ID middleware to ensure that requests can be tracked seamlessly across multiple service boundaries.

.NET Logging & Observability

Name: .NET Logging & Observability
Author: codewithmukesh

bycodewithmukesh

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189

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Analíticas y Monitorización

Implements comprehensive observability for .NET 10 applications using Serilog, OpenTelemetry, and structured logging patterns.

This skill equips Claude with specialized knowledge for architecting robust observability within .NET 10 environments. It provides standardized implementation patterns for structured logging using Serilog, distributed tracing with OpenTelemetry, and operational readiness via specialized health check endpoints. By enforcing best practices like correlation ID propagation, log enrichment, and avoiding string interpolation, it ensures that applications are highly searchable, maintainable, and ready for production monitoring tools like Seq, Elastic, or Grafana.

Características Principales

01189 GitHub stars

02Correlation ID middleware for end-to-end request tracking

03OpenTelemetry setup for distributed tracing and system metrics

04Automated log enrichment with machine names and diagnostic context

05Structured logging configuration with Serilog and Seq integration

06Advanced health check patterns for liveness and readiness monitoring

Casos de Uso

01Setting up Kubernetes-ready health monitoring endpoints

02Configuring centralized logging for a .NET 10 microservices architecture

03Implementing distributed tracing to debug latency across multiple services

Características Principales

01189 GitHub stars

02Correlation ID middleware for end-to-end request tracking

03OpenTelemetry setup for distributed tracing and system metrics

04Automated log enrichment with machine names and diagnostic context

05Structured logging configuration with Serilog and Seq integration

06Advanced health check patterns for liveness and readiness monitoring

Casos de Uso

01Setting up Kubernetes-ready health monitoring endpoints

02Configuring centralized logging for a .NET 10 microservices architecture

03Implementing distributed tracing to debug latency across multiple services