Golang Observability Opentelemetry
Instrumenting Go applications with OpenTelemetry for distributed tracing, Prometheus for metrics, and structured logging with slog
- 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
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
- Traces: Understand request flow across distributed systems
- Metrics: Measure system behavior and performance over time
- 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/otelhttpBasic 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/promhttpMetric 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 codeMore from bobmatnyc
Use this skill in a project
Open any RiverX project, search the Skills panel for bobmatnyc/claude-mpm-skills/golang-observability-opentelemetry, and install it in one click.
