Gorilla Mux
Send distributed traces and metrics to Last9 from Golang Gorilla Mux application using OpenTelemetry
Introduction
Gorilla Mux is a powerful HTTP router and dispatcher for Go. This comprehensive guide will help you instrument your Gorilla Mux application with OpenTelemetry and smoothly send the traces to Last9.
You can also check out the example application on GitHub↗.
Pre-requisites
- You have a Gorilla Mux application.
- You have signed up for Last9, and obtained the following OTLP credentials from the Integrations page:
endpoint
auth_header
Install OpenTelemetry packages
To install the required packages, run the following command:
go get -u go.opentelemetry.io/otel
go get -u go.opentelemetry.io/otel/sdk
go get -u go.opentelemetry.io/otel/exporters/otlp/otlptrace/otlptracegrpc
go get -u go.opentelemetry.io/contrib/instrumentation/github.com/gorilla/mux/otelmux
go get -u go.opentelemetry.io/otel/exporters/otlp/otlpmetric/otlpmetricgrpc
go get -u go.opentelemetry.io/otel/sdk/metric
Redis instrumentation
For setting up Redis instrumentation, first verify which go-redis
version you are using.
If you are using go-redis
v8 then
go get -u github.com/go-redis/redis/extra/redisotel/v8
If you are using go-redis
v9 then
go get github.com/redis/go-redis/extra/redisotel/v9
Database instrumentation
If you are using sql.DB
then use otelsql to instrument the database queries.
go get -u go.nhat.io/otelsql
If you are using pgx
then use otelpgx to instrument the database queries.
go get -u github.com/exaring/otelpgx
Traces
This application generates traces for the following:
Metrics
The application also generates metrics for the following:
- Database queries using otelsql
Environment variables
Set the following environment variables to send traces and metrics to Last9:
export OTEL_SERVICE_NAME=gorilla-mux-app-service // Change this value to the name of your service
export OTEL_EXPORTER_OTLP_ENDPOINT=<endpoint> // Last9 OTLP endpoint
export OTEL_EXPORTER_OTLP_HEADERS="Authorization=Basic <auth_header>" // Last9 OTLP auth header
export OTEL_RESOURCE_ATTRIBUTES=deployment.environment=<environment>,component=api // Add more attributes as needed as comma separated key=value pairs.
Instrument HTTP requests
In your Gorilla Mux application, create a new file last9/instrumentation.go
and add the following code:
package last9
import (
"context"
"fmt"
"time"
"go.opentelemetry.io/otel"
"go.opentelemetry.io/otel/exporters/otlp/otlpmetric/otlpmetricgrpc"
"go.opentelemetry.io/otel/exporters/otlp/otlptrace/otlptracehttp"
"go.opentelemetry.io/otel/propagation"
"go.opentelemetry.io/otel/sdk/metric"
"go.opentelemetry.io/otel/sdk/resource"
sdktrace "go.opentelemetry.io/otel/sdk/trace"
semconv "go.opentelemetry.io/otel/semconv/v1.26.0"
"go.opentelemetry.io/otel/trace"
)
type Instrumentation struct {
TracerProvider *sdktrace.TracerProvider
Tracer trace.Tracer
}
func initMetrics() (*metric.MeterProvider, error) {
exporter, err := otlpmetricgrpc.New(context.Background())
if err != nil {
fmt.Println("Error creating metrics exporter:", err)
return nil, err
}
resources, err := resource.New(context.Background(),
resource.WithFromEnv(),
resource.WithTelemetrySDK(),
resource.WithProcess(),
resource.WithOS(),
resource.WithContainer(),
resource.WithHost())
if err != nil {
return nil, err
}
// Set up the meter provider with the exporter and resource and a periodic reader that flushes every minute
mp := metric.NewMeterProvider(metric.WithResource(resources),
metric.WithReader(metric.NewPeriodicReader(exporter, metric.WithInterval(1*time.Minute))))
return mp, nil
}
func initTracerProvider() *sdktrace.TracerProvider {
exporter, err := otlptracehttp.New(context.Background())
if err != nil {
panic(err)
}
resources, err := resource.New(context.Background(),
resource.WithFromEnv(),
resource.WithTelemetrySDK(),
resource.WithProcess(),
resource.WithOS(),
resource.WithContainer(),
resource.WithHost())
if err != nil {
panic(err)
}
tp := sdktrace.NewTracerProvider(
sdktrace.WithBatcher(exporter),
sdktrace.WithResource(resources),
)
otel.SetTracerProvider(tp)
otel.SetTextMapPropagator(propagation.NewCompositeTextMapPropagator(propagation.TraceContext{}, propagation.Baggage{}))
return tp
}
func NewInstrumentation() *Instrumentation {
tp := initTracerProvider()
return &Instrumentation{
TracerProvider: tp,
Tracer: tp.Tracer("gorilla-mux-server"), // Change this value to the name of your service
}
}
The above code configures the OpenTelemetry SDK to use the OTLP exporter and initializes the TracerProvider.
Next, at the entry point of your application, add the following code to instrument your application:
import (
// other imports
"github.com/gorilla/mux"
"go.opentelemetry.io/contrib/instrumentation/github.com/gorilla/mux/otelmux"
)
func main() {
i := last9NewInstrumentation()
defer func() {
if err := i.TracerProvider.Shutdown(context.Background()); err != nil {
log.Printf("Error shutting down tracer provider: %v", err)
}
}()
r := mux.NewRouter()
// Add the middleware before adding any routes
r.Use(otelmux.Middleware("gorilla-mux-server")) // Change this value to the name of your service
// Add your routes here
r.HandleFunc("/users/{id}", UpdateUser).Methods("PUT")
// Start the server
log.Fatal(http.ListenAndServe(":8080", r))
}
Instrument database operations
Instrumenting with sql.DB
Add the following code to instrument the database queries. It uses the otelsql
package to wrap the sql.DB
object and emit traces and metrics for database queries and connections.
func initDB() (*sql.DB, error) {
// Register the driver with tracing
driverName, err := otelsql.Register("postgres",
// Read more about the options here: https://github.com/nhatthm/otelsql?tab=readme-ov-file#options
otelsql.AllowRoot(),
otelsql.TraceQueryWithoutArgs(),
otelsql.TraceRowsClose(),
otelsql.TraceRowsAffected(),
otelsql.WithDatabaseName("otel_demo"), // your database name
otelsql.WithSystem(semconv.DBSystemPostgreSQL),
)
if err != nil {
return nil, fmt.Errorf("failed to register driver: %v", err)
}
db, err := sql.Open(driverName, dsnName)
if err != nil {
return nil, fmt.Errorf("failed to connect to database: %v", err)
}
// Record stats to expose metrics
if err := otelsql.RecordStats(db); err != nil {
return nil, err
}
return db, nil
}
Instrumenting with pgx
For database instrumentation where pgx is used, use otelpgx to wrap the pgx connection pool. Add the following code to instrument the database queries.
var connString = os.Getenv("DATABASE_URL")
cfg, err := pgxpool.ParseConfig(connString)
if err != nil {
fmt.Fprintf(os.Stderr, "create connection pool: %w", err)
os.Exit(1)
}
// Add the tracer to the connection pool configuration
cfg.ConnConfig.Tracer = otelpgx.NewTracer()
// Create a new connection pool with the tracer
conn, err = pgxpool.NewWithConfig(context.Background(), cfg)
if err != nil {
fmt.Fprintf(os.Stderr, "Unable to connection to database: %v\n", err)
os.Exit(1)
}
Refer to the complete example using pgx adapter and Otel instrumentation here.
Instrument Redis operations
Note that between redis-go
versions v8 and v9 the import paths are changed.
Add the following code to instrument the Redis operations. It uses the redisotel
package to wrap the redis.Client
object and emit traces for redis operations.
go-redis v9
If you are using go-redis
v9 then use the following code.
func initRedis() *redis.Client {
rdb := redis.NewClient(&redis.Options{
Addr: "localhost:6379", // Update this with your Redis server address
})
// Setup traces for redis instrumentation
if err := redisotel.InstrumentTracing(rdb); err != nil {
log.Fatalf("failed to instrument traces for Redis client: %v", err)
return nil
}
return rdb
}
go-redis v8
If you are using go-redis
v8 then use the following code.
func initRedis() *redis.Client {
rdb := redis.NewClient(&redis.Options{
Addr: "localhost:6379", // Update this with your Redis server address
})
// Setup traces for redis instrumentation
rdb.AddHook(redisotel.NewTracingHook())
return rdb
}
Run the application
Start your Gorilla Mux application by running the following command:
go run main.go
This will start the Gorilla Mux application and the OpenTelemetry SDK will automatically collect traces and metrics from the application. These traces and metrics will be sent to Last9 automatically based on the environment variables set.
View traces and metrics in Last9
After running the Gorilla Mux app, you can visualize the traces and metrics in Trace Explorer.
Troubleshooting
Please get in touch with us on Discord or Email if you have any questions.