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Opentelemetry

  • 127 installs
  • 629 repo stars
  • Updated August 3, 2026
  • codewithmukesh/dotnet-claude-kit

Configures .NET 10 OpenTelemetry traces, metrics, and logs with OTLP export, custom ActivitySource, and IMeterFactory metrics.

About

Sets up OpenTelemetry observability in .NET 10 for traces, metrics, and logs via the OpenTelemetry SDK with OTLP export, custom ActivitySource, IMeterFactory metrics, and Aspire Dashboard integration. A developer uses it to add distributed tracing and custom metrics.

  • Configures traces, metrics, and logs through one AddOpenTelemetry() call with OTLP export
  • Uses IMeterFactory for metrics, null-safe activities, and env-var-driven endpoints

Opentelemetry by the numbers

  • 127 all-time installs (skills.sh)
  • Ranked #2,750 of 4,347 Backend & APIs skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/codewithmukesh/dotnet-claude-kit --skill opentelemetry

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Listed on Skillselion
Installs127
repo stars629
Last updatedAugust 3, 2026
Repositorycodewithmukesh/dotnet-claude-kit

What it does

Configures .NET 10 OpenTelemetry traces, metrics, and logs with OTLP export, custom ActivitySource, and IMeterFactory metrics.

Files

SKILL.mdMarkdownGitHub ↗

OpenTelemetry

Core Principles

1. Three pillars, one setup — Configure traces, metrics, and logs through a single AddOpenTelemetry() call. Use UseOtlpExporter() for cross-cutting export to any OTLP-compatible backend. 2. Use `IMeterFactory` for metrics — Never create Meter instances with new. The factory manages lifetime through DI and prevents leaks. 3. Null-safe activitiesStartActivity() returns null when no listener is attached. Always use ?. when setting tags or events. 4. Environment variables over code — Use OTEL_EXPORTER_OTLP_ENDPOINT and OTEL_SERVICE_NAME so deployments control telemetry routing without code changes. 5. Low-cardinality metric tags — Keep metric tag combinations under ~1000 per instrument. Use span attributes or logs for high-cardinality data like user IDs or request IDs.

Patterns

Full Setup with All Three Signals

// Program.cs
var builder = WebApplication.CreateBuilder(args);

builder.Services.AddOpenTelemetry()
    .ConfigureResource(resource => resource
        .AddService(
            serviceName: builder.Environment.ApplicationName,
            serviceVersion: "1.0.0"))
    .WithTracing(tracing => tracing
        .AddAspNetCoreInstrumentation()
        .AddHttpClientInstrumentation()
        .AddEntityFrameworkCoreInstrumentation()
        .AddSource("MyApp.Orders"))
    .WithMetrics(metrics => metrics
        .AddAspNetCoreInstrumentation()
        .AddHttpClientInstrumentation()
        .AddRuntimeInstrumentation()
        .AddMeter("MyApp.Orders"))
    .WithLogging(logging => logging
        .AddOtlpExporter());

// Cross-cutting OTLP export for traces + metrics (configured via env vars)
builder.Services.AddOpenTelemetry()
    .UseOtlpExporter();

The OTLP endpoint defaults to http://localhost:4317 (gRPC). Override via:

OTEL_EXPORTER_OTLP_ENDPOINT=http://collector:4317
OTEL_SERVICE_NAME=MyApp.Api

Custom Metrics with IMeterFactory

Register a metrics class as a singleton. IMeterFactory handles Meter disposal through DI.

public sealed class OrderMetrics
{
    private readonly Counter<int> _ordersCreated;
    private readonly Histogram<double> _orderDuration;
    private readonly UpDownCounter<int> _activeOrders;
    private readonly Gauge<double> _queueDepth;

    public OrderMetrics(IMeterFactory meterFactory)
    {
        var meter = meterFactory.Create("MyApp.Orders");

        _ordersCreated = meter.CreateCounter<int>(
            "myapp.orders.created", "{orders}", "Number of orders created");

        _orderDuration = meter.CreateHistogram<double>(
            "myapp.orders.duration", "s", "Order processing duration",
            advice: new InstrumentAdvice<double>
            {
                HistogramBucketBoundaries = [0.01, 0.05, 0.1, 0.5, 1, 5, 10]
            });

        _activeOrders = meter.CreateUpDownCounter<int>(
            "myapp.orders.active", "{orders}", "Currently active orders");

        _queueDepth = meter.CreateGauge<double>(
            "myapp.orders.queue_depth", "{items}", "Current queue depth");
    }

    public void OrderCreated() => _ordersCreated.Add(1);
    public void RecordDuration(double seconds) => _orderDuration.Record(seconds);
    public void OrderStarted() => _activeOrders.Add(1);
    public void OrderCompleted() => _activeOrders.Add(-1);
    public void SetQueueDepth(double depth) => _queueDepth.Record(depth);
}

// Registration
builder.Services.AddSingleton<OrderMetrics>();

Multi-Dimensional Metric Tags

Three or fewer tags are allocation-free. For more, use TagList.

// Allocation-free (3 or fewer tags)
_ordersCreated.Add(1,
    new KeyValuePair<string, object?>("order.type", "standard"),
    new KeyValuePair<string, object?>("payment.method", "credit_card"));

// 4+ tags — use TagList to avoid allocations
var tags = new TagList
{
    { "order.type", "standard" },
    { "payment.method", "credit_card" },
    { "region", "us-east" },
    { "priority", "high" }
};
_ordersCreated.Add(1, tags);

Custom ActivitySource for Distributed Tracing

public sealed class OrderService(ILogger<OrderService> logger)
{
    private static readonly ActivitySource Source = new("MyApp.Orders");

    public async Task<Order> ProcessOrderAsync(CreateOrderRequest request, CancellationToken ct)
    {
        using var activity = Source.StartActivity("ProcessOrder", ActivityKind.Internal);
        activity?.SetTag("order.customer_id", request.CustomerId);

        try
        {
            await ValidateOrder(request, ct);
            activity?.AddEvent(new ActivityEvent("OrderValidated"));

            var order = await SaveOrder(request, ct);
            activity?.SetTag("order.id", order.Id.ToString());
            activity?.SetStatus(ActivityStatusCode.Ok);
            return order;
        }
        catch (Exception ex)
        {
            activity?.SetStatus(ActivityStatusCode.Error, ex.Message);
            activity?.RecordException(ex);
            throw;
        }
    }
}

Register the source: .AddSource("MyApp.Orders") in the tracing builder.

Aspire Dashboard for Local Development

Run the standalone Aspire Dashboard without Aspire orchestration:

docker run --rm -it -p 18888:18888 -p 4317:18889 \
    mcr.microsoft.com/dotnet/aspire-dashboard:latest

Then point your app at it:

OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4317

Dashboard UI is at http://localhost:18888.

Source-Generated Logging with OTel

For maximum performance, use [LoggerMessage] — eliminates boxing and allocations.

public partial class OrderService(ILogger<OrderService> logger)
{
    [LoggerMessage(Level = LogLevel.Information,
        Message = "Processing order {OrderId} for customer {CustomerId}")]
    partial void LogOrderProcessing(Guid orderId, Guid customerId);
}

OpenTelemetry logging automatically includes TraceId and SpanId when an Activity is current.

Anti-patterns

Don't Create Meters Per Request

// BAD — new Meter per request causes memory leaks
public void HandleRequest()
{
    var meter = new Meter("MyApp");
    meter.CreateCounter<int>("requests").Add(1);
}

// GOOD — singleton via IMeterFactory
public class MyMetrics(IMeterFactory meterFactory)
{
    private readonly Counter<int> _requests =
        meterFactory.Create("MyApp").CreateCounter<int>("myapp.requests");
    public void RequestHandled() => _requests.Add(1);
}

Don't Skip Null Checks on Activity

// BAD — NullReferenceException when no listener is attached
using var activity = source.StartActivity("Work");
activity.SetTag("key", "value");

// GOOD — null-safe
activity?.SetTag("key", "value");

Don't Use High-Cardinality Metric Tags

// BAD — unbounded cardinality causes memory explosion in collectors
_counter.Add(1, new("request.id", Guid.NewGuid().ToString()));
_counter.Add(1, new("user.id", userId));

// GOOD — low-cardinality dimensions only
_counter.Add(1, new("http.method", "GET"), new("http.status_code", 200));

Don't Mix UseOtlpExporter with AddOtlpExporter

// BAD — throws NotSupportedException at runtime
builder.Services.AddOpenTelemetry()
    .UseOtlpExporter()
    .WithTracing(t => t.AddOtlpExporter());

// GOOD — use one approach
builder.Services.AddOpenTelemetry().UseOtlpExporter();

Don't Forget to Register Custom Sources

// BAD — activities silently dropped (no listener registered)
var source = new ActivitySource("MyApp.Custom");
using var activity = source.StartActivity("Work"); // null!

// GOOD — register in the tracing builder
otel.WithTracing(t => t.AddSource("MyApp.Custom"));
otel.WithMetrics(m => m.AddMeter("MyApp.Custom"));

Decision Guide

ScenarioRecommendation
Full observability setupAddOpenTelemetry() with all three signals + UseOtlpExporter()
Custom business metricsIMeterFactory + singleton metrics class
Custom trace spansActivitySource + StartActivity()
Local development backendAspire Dashboard standalone container
Production backendOTel Collector as intermediary to Grafana/Datadog/etc.
Sampling in productionOTEL_TRACES_SAMPLER=parentbased_traceidratio with 10% ratio
High-performance logging[LoggerMessage] source generator
Metric tag cardinalityMax ~1000 combinations per instrument
Environment configurationOTEL_* env vars (also work via appsettings.json)

Related skills

Backend & APIsmonitoring

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