bobmatnyc/claude-mpm-skillsMIT2 files

Golang Observability Opentelemetry

Instrumenting Go applications with OpenTelemetry for distributed tracing, Prometheus for metrics, and structured logging with slog

Specification
Skill ID
bobmatnyc/claude-mpm-skills/golang-observability-opentelemetry
Publisher
bobmatnyc
Repository
claude-mpm-skills
Installs
0
Files
2
License
MIT
Synced
Sep 23, 2026
How to use it

Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.

bobmatnyc/claude-mpm-skills/golang-observability-opentelemetryInstalls these files
  • SKILL.md
  • metadata.json

What this skill tells the agent

Go Observability with OpenTelemetry

Overview

Modern Go applications require comprehensive observability through the three pillars: traces, metrics, and logs. OpenTelemetry provides vendor-neutral instrumentation for distributed tracing, Prometheus offers powerful metrics collection, and Go's slog package (1.21+) delivers structured logging with minimal overhead.

Key Features:

  • 🔍 OpenTelemetry: Distributed tracing with context propagation
  • 📊 Prometheus: Metrics collection with /metrics endpoint
  • 📝 Structured Logging: slog with JSON formatting and correlation IDs
  • 🎯 Auto-Instrumentation: HTTP/gRPC middleware patterns
  • 💚 Health Checks: Kubernetes-ready readiness/liveness probes
  • 🔄 Graceful Shutdown: Clean exporter shutdown and signal handling

When to Use This Skill

Activate this skill when:

  • Instrumenting microservices for production observability
  • Setting up distributed tracing across service boundaries
  • Creating operational dashboards with Prometheus/Grafana
  • Debugging production performance issues or bottlenecks
  • Implementing SLOs and monitoring SLIs
  • Adding observability to existing Go applications
  • Correlating logs, traces, and metrics for debugging

Core Observability Principles

The Three Pillars

  1. Traces: Understand request flow across distributed systems
  2. Metrics: Measure system behavior and performance over time
  3. Logs: Record discrete events for debugging and audit

Correlation Strategy

All three pillars must share common identifiers:

  • Trace ID: Links all operations in a request
  • Span ID: Identifies specific operation within trace
  • Request ID: Correlates logs with traces and metrics

OpenTelemetry Integration

Installation

go get go.opentelemetry.io/otel
go get go.opentelemetry.io/otel/sdk
go get go.opentelemetry.io/otel/exporters/jaeger
go get go.opentelemetry.io/contrib/instrumentation/net/http/otelhttp

Basic Setup

package main

import (
    "context"
    "log"

    "go.opentelemetry.io/otel"
    "go.opentelemetry.io/otel/exporters/jaeger"
    "go.opentelemetry.io/otel/sdk/resource"
    sdktrace "go.opentelemetry.io/otel/sdk/trace"
    semconv "go.opentelemetry.io/otel/semconv/v1.21.0"
)

func initTracer(serviceName string) (*sdktrace.TracerProvider, error) {
    // Create Jaeger exporter
    exporter, err := jaeger.New(jaeger.WithCollectorEndpoint(
        jaeger.WithEndpoint("http://localhost:14268/api/traces"),
    ))
    if err != nil {
        return nil, err
    }

    // Create resource with service name
    res, err := resource.Merge(
        resource.Default(),
        resource.NewWithAttributes(
            semconv.SchemaURL,
            semconv.ServiceName(serviceName),
            semconv.ServiceVersion("1.0.0"),
        ),
    )
    if err != nil {
        return nil, err
    }

    // Create tracer provider
    tp := sdktrace.NewTracerProvider(
        sdktrace.WithBatcher(exporter),
        sdktrace.WithResource(res),
        sdktrace.WithSampler(sdktrace.AlwaysSample()), // Use probability sampler in production
    )

    otel.SetTracerProvider(tp)
    return tp, nil
}

func main() {
    tp, err := initTracer("order-service")
    if err != nil {
        log.Fatal(err)
    }
    defer func() {
        if err := tp.Shutdown(context.Background()); err != nil {
            log.Printf("Error shutting down tracer: %v", err)
        }
    }()

    // Application code...
}

Creating Spans

import (
    "context"

    "go.opentelemetry.io/otel"
    "go.opentelemetry.io/otel/attribute"
    "go.opentelemetry.io/otel/codes"
    "go.opentelemetry.io/otel/trace"
)

func ProcessOrder(ctx context.Context, order Order) error {
    tracer := otel.Tracer("order-service")
    ctx, span := tracer.Start(ctx, "ProcessOrder")
    defer span.End()

    // Add attributes
    span.SetAttributes(
        attribute.String("order.id", order.ID),
        attribute.Int("order.items", len(order.Items)),
        attribute.Float64("order.total", order.Total),
    )

    // Validate order (creates child span)
    if err := validateOrder(ctx, order); err != nil {
        span.RecordError(err)
        span.SetStatus(codes.Error, "validation failed")
        return err
    }

    // Fulfill order
    if err := fulfillOrder(ctx, order); err != nil {
        span.RecordError(err)
        span.SetStatus(codes.Error, "fulfillment failed")
        return err
    }

    span.SetStatus(codes.Ok, "order processed successfully")
    return nil
}

func validateOrder(ctx context.Context, order Order) error {
    _, span := otel.Tracer("order-service").Start(ctx, "validateOrder")
    defer span.End()

    // Validation logic...
    return nil
}

HTTP Middleware Instrumentation

import (
    "net/http"

    "go.opentelemetry.io/contrib/instrumentation/net/http/otelhttp"
)

func main() {
    // Wrap handler with automatic tracing
    handler := http.HandlerFunc(orderHandler)
    wrappedHandler := otelhttp.NewHandler(handler, "order-handler")

    http.Handle("/orders", wrappedHandler)
    http.ListenAndServe(":8080", nil)
}

// Manual instrumentation for more control
func orderHandler(w http.ResponseWriter, r *http.Request) {
    ctx := r.Context()
    tracer := otel.Tracer("order-service")

    ctx, span := tracer.Start(ctx, "orderHandler")
    defer span.End()

    // Extract order ID from request
    orderID := r.URL.Query().Get("id")
    span.SetAttributes(attribute.String("order.id", orderID))

    // Process order with propagated context
    order, err := fetchOrder(ctx, orderID)
    if err != nil {
        span.RecordError(err)
        http.Error(w, "Order not found", http.StatusNotFound)
        return
    }

    // ... handle response
}

Prometheus Metrics

Installation

go get github.com/prometheus/client_golang/prometheus
go get github.com/prometheus/client_golang/prometheus/promhttp

Metric Types and Patterns

package metrics

import (
    "github.com/prometheus/client_golang/prometheus"
    "github.com/prometheus/client_golang/prometheus/promauto"
)

var (
    // Counter: Monotonically increasing value
    httpRequestsTotal = promauto.NewCounterVec(
        prometheus.CounterOpts{
            Name: "http_requests_total",
            Help: "Total number of HTTP requests",
        },
        []string{"method", "path", "status"},
    )

    // Gauge: Value that can go up or down
    activeConnections = promauto.NewGauge(
        prometheus.GaugeOpts{
            Name: "active_connections",
            Help: "Number of active connections",
        },
    )

    // Histogram: Observations bucketed by value
    httpRequestDuration = promauto.NewHistogramVec(
        prometheus.HistogramOpts{
            Name:    "http_request_duration_seconds",
            Help:    "HTTP request duration in seconds",
            Buckets: prometheus.DefBuckets, // [0.005, 0.01, 0.025, 0.05, 0.1, 0.25, 0.5, 1, 2.5, 5, 10]
        },
        []string{"method", "path"},
    )

    // Summary: Similar to histogram but calculates quantiles
    dbQueryDuration = promauto.NewSummaryVec(
        prometheus.SummaryOpts{
            Name:       "db_query_duration_seconds",
            Help:       "Database query duration",
            Objectives: map[float64]float64{0.5: 0.05, 0.9: 0.01, 0.99: 0.001},
        },
        []string{"query_type"},
    )
)

Metrics Middleware

import (
    "net/http"
    "strconv"
    "time"

    "github.com/prometheus/client_golang/prometheus/promhttp"
)

// Metrics middleware that instruments all HTTP handlers
func MetricsMiddleware(next http.Handler) http.Handler {
    return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
        start := time.Now()

        // Track active connections
        activeConnections.Inc()
        defer activeConnections.Dec()

        // Wrap response writer to capture status code

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