How to monitor your Rust applications with OpenTelemetry

Rust's strong memory safety and efficient code execution make it a top choice for building robust, high-performance systems. However, monitoring Rust applications in production environments can still face challenges such as latency spikes, resource contention, and unexpected bottlenecks. To address this information gap, Datadog provides a guide on how to instrument a Rust application with OpenTelemetry (OTel) and send its collected telemetry data to Datadog. The guide covers preparing the application for telemetry collection, determining how to send OTLP data to Datadog, adding OpenTelemetry dependencies to the manifest file, configuring OpenTelemetry at startup, and configuring the runtime environment. It also provides examples of instrumenting traces, logs, and metrics, as well as using the collected data in Datadog to gain insights into performance and quickly identify issues. By following this guide, developers can ensure their Rust applications meet performance expectations and remain reliable under load.