Logging & Observability

SkillMonitoring & ops

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 when setting up observability from scratch, wiring health check endpoints or correlation IDs, or when the user says "logging", "observability", "monitoring setup", "liveness", "readiness", or "ILogger".

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Logging & Observability skill

What this skill tells your AI

The instructions your AI receives, as published by codewithmukesh/dotnet-claude-kit in skills/logging/SKILL.md and read by ahel’s review.

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

ConcernOwnerSkill
Structured application logsSerilog (AddSerilog())serilog
Request summary loggingUseSerilogRequestLogging()serilog
Traces + metrics + OTLP exportOpenTelemetry SDKopentelemetry
Health endpoints, correlation IDs, log-level strategyThis skilllogging

Wire logging first (you need logs to debug the rest), then health checks, then tracing.

Correlation IDs

// Middleware to set correlation ID
public class CorrelationIdMiddleware(RequestDelegate next)
{
    private const string CorrelationIdHeader = "X-Correlation-Id";

    public async Task InvokeAsync(HttpContext context)
    {
        var correlationId = context.Request.Headers[CorrelationIdHeader].FirstOrDefault()
            ?? Guid.NewGuid().ToString();

        context.Items["CorrelationId"] = correlationId;
        context.Response.Headers[CorrelationIdHeader] = correlationId;

        using (LogContext.PushProperty("CorrelationId", correlationId))
        {
            await next(context);
        }
    }
}

// Program.cs — register early so every downstream log carries the ID
app.UseMiddleware<CorrelationIdMiddleware>();

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

// Program.cs
builder.Services.AddHealthChecks()
    .AddNpgSql(builder.Configuration.GetConnectionString("Default")!,
        name: "database", tags: ["ready"])
    .AddRedis(builder.Configuration.GetConnectionString("Redis")!,
        name: "redis", tags: ["ready"])
    .AddRabbitMQ(builder.Configuration.GetConnectionString("RabbitMq")!,
        name: "rabbitmq", tags: ["ready"]);

// Map endpoints
app.MapHealthChecks("/health/live", new HealthCheckOptions
{
    Predicate = _ => false // No dependency checks — just "am I running?"
});

app.MapHealthChecks("/health/ready", new HealthCheckOptions
{
    Predicate = check => check.Tags.Contains("ready")
});

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

LevelUse forEnvironment default
DebugDiagnostic detail, payload dumps (never PII in prod)Development only
InformationBusiness events: order placed, job completedDev + staging
WarningRecoverable anomalies: retry fired, fallback usedEverywhere — production default
ErrorFailed operations that need attentionEverywhere
Fatal/CriticalApp cannot continueEverywhere

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

// BAD — logging credentials
logger.LogInformation("User logged in: {Email} with password {Password}", email, password);

// GOOD — log identifiers, never secrets or PII at Information level
logger.LogInformation("User {UserId} logged in", userId);

Don't Skip Health Check Tags

// BAD — all checks run for liveness AND readiness
app.MapHealthChecks("/health");

// GOOD — separate liveness (am I running?) from readiness (can I serve traffic?)
app.MapHealthChecks("/health/live", new() { Predicate = _ => false });
app.MapHealthChecks("/health/ready", new() { Predicate = c => c.Tags.Contains("ready") });

Don't Re-Implement What the Owning Skill Provides

// BAD — hand-rolling Serilog bootstrap here from memory
builder.Host.UseSerilog(...);  // legacy API — the serilog skill forbids this

// GOOD — load the serilog skill and use its two-stage AddSerilog() bootstrap
builder.Services.AddSerilog((services, lc) => lc.ReadFrom.Configuration(builder.Configuration)...);

Decision Guide

ScenarioRecommendation
Application logging setupLoad serilogAddSerilog() two-stage bootstrap
Distributed tracing / metricsLoad opentelemetry — OTLP exporter
Custom business metricsIMeterFactory + counters/histograms (opentelemetry skill)
Request tracingCorrelation ID middleware (this skill)
Container health/health/live and /health/ready endpoints (this skill)
Log storageSeq (development), Elastic/Grafana/OTLP backend (production)
Log levelsDebug in dev, Information in staging, Warning default in production

Signals

GitHub stars
707
Forks
166
Last commit
Aug 2026
Advanced
Catalog kind
skill
Gateway key
logging
Source
github.com/codewithmukesh/dotnet-claude-kit