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I want to talk about building something that makes your microservices visible. When you have a dozen services talking to each other, a single user request might travel through ten different codebases. If something goes wrong, you need to know exactly which step failed, how long it took, and what data was passed around. That’s what distributed tracing does.

But tracing every single request can quickly become expensive – both in storage and processing. The trick is to sample intelligently. I’ll show you a lightweight instrumentation layer written in Go that uses OpenTelemetry and custom samplers. It records just enough data to give you confidence in your system’s health without drowning you in noise.

First, let me explain how tracing works in simple terms. Every request gets a unique trace ID.…