logging
Observability overview and glue for .NET 10: how the pieces fit together, plus the cross-cutting parts owned here — ASP.NET health check endpoints (/health), correlation IDs, and log-level strategy. For deep Serilog setup load `serilog`; for traces and metrics load `opentelemetry`. Load this skill w
By codewithmukesh · 1,186 installs
npx skills add codewithmukesh/dotnet-claude-kit --skill logging
Source repository · Upstream listing
Logging & Observability
Core Principles
1. Structured logging with Serilog — Every log entry is a structured event with named properties, not a formatted string. This enables searching, filtering, and alerting. All setup (two stage bootstrap, AddSerilog() , sinks, enrichers) lives in the serilog skill — that skill's AddSerilog() over UseSerilog() guidance is canonical.
2. OpenTelemetry for distributed tracing — Traces connect requests across services; metrics track system health over time. Full setup lives in the opentelemetry skill.
3. Health checks for operational readiness — Every service exposes /health endpoints for load balancers and orchestrators. Liveness and readiness are separate questions and separate endpoints.
4. Correlation IDs for request tracing — Every request gets a unique ID that flows through all log entries and downstream service calls, so one user complaint maps to one filtered log stream.
Patterns
How the Pieces Fit Together
Concern Owner Skill
Structured application logs Serilog ( AddSerilog() ) serilog
Request summary logging UseSerilogRequestLogging() serilog
Traces + metrics + OTLP export OpenTelemetry SDK opentelemetry
Health endpoints, correlation IDs, log level strategy This skill logging
Wire logging first (you need logs to debug the rest), then health checks, then tracing.
Correlation IDs
Why middleware: pushing the property once at the pipeline edge attaches it to every log event in the request scope — no per call site plumbing. Propagate the same header on outgoing HttpClient calls via a DelegatingHandler (see the httpclient factory skill).
Health Checks
Why two endpoints: liveness failing means "restart me"; readiness failing means "stop sending traffic". Conflating them makes a slow database restart your app in a loop.
Log Level Strategy
Level Use for Environment default
Debug Diagnostic detail, payload dumps (never PII in prod) Development only
Information Business events: order placed, job completed Dev + staging
Warning Recoverable anomalies: retry fired, fallback used Everywhere — production default
Error Failed operations that need attention Everywhere
Fatal/Critical App cannot continue Everywhere
Why Warning as the production default: Information level request noise at scale costs real money in log storage and drowns the signals. Keep Information for genuine business events via namespace overrides (see the serilog skill's MinimumLevel.Override pattern).
Anti patterns
Don't Log Sensitive Data
Don't Skip Health Check Tags
Don't Re Implement What the Owning Skill Provides
Decision Guide
Scenario Recommendation
Application logging setup Load serilog — AddSerilog() two stage bootstrap
Distributed tracing / metrics Load opentelemetry — OTLP exporter
Custom business metrics IMeterFactory + counters/histograms ( opentelemetry skill)
Request tracing Correlation ID middleware (this skill)
Container health /health/live and /health/ready endpoints (this skill)
Log storage Seq (development), Elastic/Grafana/OTLP backend (production)
Log levels Debug in dev, Information in staging, Warning default in production