Distributed Tracing for C++ Applications with OpenTelemetry & Logz.io

Organizations transitioning from monolithic to microservices-based architectures face increased system complexity, requiring efficient debugging tools such as logging and distributed tracing. This text discusses adding distributed tracing to C++ applications using the OpenTelemetry framework, which includes monitoring tools for metrics, logs, and traces. The process involves setting up two HTTP services with C++ using the Pistache framework and implementing tracing with the OpenTelemetry C++ client, which exports traces to Logz.io using the Jaeger exporter. The services are containerized using Docker and orchestrated with Docker Compose, enabling the visualization of traces via a local or remote Jaeger UI. By following this approach, developers can track interactions between microservices and external APIs, enhancing observability and performance monitoring of their applications.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.