Operations | Monitoring | ITSM | DevOps | Cloud

Node.js applications power millions of APIs, microservices, and real-time systems. But without proper monitoring, performance issues, memory leaks, and errors can go undetected until they impact users. This guide explains how to monitor Node.js applications in production, what metrics to track, and which tools deliver the best results.

A queue quietly fills up overnight. Memory hits the configured watermark and RabbitMQ blocks all publishers. Your entire message pipeline freezes, and you discover the problem when users start complaining. This scenario repeats across thousands of production systems because teams don't monitor RabbitMQ properly. The broker exposes comprehensive metrics, but most engineers don't know which ones predict failures or how to track them.

The OpenTelemetry Java Agent provides zero-code instrumentation for Spring Boot applications through bytecode manipulation. This guide covers setup, configuration, auto-instrumentation capabilities, and production deployment strategies for implementing distributed tracing and observability.