Many organizations are moving from monolithic to microservices-based architectures. Microservices allow them to improve their agility and provide features more quickly. Although developing a single microservice is simpler, the complexity of the overall system is much greater. Here, we’ll review how to add distributed tracing to C++ with the OpenTelemetry collector and send to Logz.io. One of the biggest challenges is finding efficient tools to quickly debug and solve production problems.

OpenTelemetry (or “OTel”) helps you get your instrumentation started quickly, and it helps you get the most out of that telemetry data by providing flexible exporting options. As a result, it’s emerging as the new standard for instrumentation. To that end, today we’re sharing more insight into the work we’ve done (and are doing) to enable a path for all Honeycomb users toward OTel adoption. We hope you’ll be as excited as we are to embrace these open standards!

Welcome to Part 1 of our multipart series on Distributed Tracing for Full Stack Developers. In this series, we’ll be learning the ins-and-outs of distributed tracing and how it can assist you in monitoring the increasingly complex requirements of full stack applications.