OpenTelemetry for Go: Measuring overhead costs
Everything comes at a cost — and observability is no exception. When we add metrics, logging, or distributed tracing to our applications, it helps us understand what’s going on with performance and key UX metrics like success rate and latency. But what’s the cost? I’m not talking about the price of observability tools here, I mean the instrumentation overhead. If an application logs or traces everything it does, that’s bound to slow it down or at least increase resource consumption. Of course,