Gin Observability with TraceKit
Go's speed is its superpower -- until a request disappears into a middleware chain and you cannot tell which handler is slow. TraceKit gives you full visibility into Gin middleware execution, gRPC service boundaries, and goroutine context propagation.
Gin observability challenges
Common problems that Gin developers face in production -- and how TraceKit solves them.
Middleware Chain Visibility
Gin's middleware chain is powerful but opaque. When a request is slow, you cannot tell if the bottleneck is authentication, rate limiting, logging, or your handler. TraceKit traces every middleware step so you can see exactly where time is spent.
gRPC + HTTP Mixed Tracing
Many Go services serve HTTP via Gin while calling downstream gRPC services. Traces often break at the protocol boundary. TraceKit propagates context seamlessly across HTTP and gRPC so you get one end-to-end trace.
Goroutine Context Propagation
Spawning goroutines with go func() loses the trace context. TraceKit's Go SDK ensures context propagation across goroutine boundaries so background work appears in the same trace as the originating request.
Get started in minutes
Add OpenTelemetry instrumentation to your Gin app with a few lines of code.
import "go.opentelemetry.io/contrib/instrumentation/github.com/gin-gonic/gin/otelgin"
func main() {
r := gin.Default()
r.Use(otelgin.Middleware("my-gin-service"))
// Your routes here
r.Run(":8080")
}Go Distributed Tracing Guide
Go deeper with our Go distributed tracing guide -- covering common pain points, production patterns, and code examples.
What you get with TraceKit
Distributed Tracing
Trace requests across Gin middleware, gRPC services, and goroutines. See the full request lifecycle from HTTP ingress to database query.
Live Code Monitoring
Set breakpoints in your running Gin handlers. Capture variable state mid-request without redeploying -- debug production issues in real time.
Simple Pricing
$29/month flat for your entire Go service. No per-host fees, no per-goroutine charges, no surprises when your service scales.
Related Resources
Learn distributed tracing patterns and best practices for Go
Open-source session replay and full-stack observability. See how TraceKit compares with production-proven APM.
Calculate SLA uptime and error budgets for your services
Step-by-step APM implementation checklist covering SDK installation, instrumentation, alerting, and production rollout with OpenTelemetry best practices.
Step-by-step guide to migrate from Datadog to TraceKit. Replace dd-trace with TraceKit SDK, map environment variables, and verify traces in minutes.
Ready to add observability to Gin?
Get started with TraceKit in under 5 minutes. $29/month flat -- no per-host fees, no surprises.