HiveMQ Enables Real-Time IoT Observability from Device to Cloud

HiveMQ announced the availability of the HiveMQ Distributed Tracing Extension, a new feature that makes it possible to trace and debug MQTT data streams from device to cloud and back.

Complete IoT observability requires insight into three pillars: metrics, traces, and logs. HiveMQ has added distributed tracing to help organizations achieve end-to-end observability and make their IoT applications more performant and resilient.

Distributed Tracing is a way to trace events and achieve a high-level overview of a message’s journey through multiple, complex systems. With the Distributed Tracing Extension, HiveMQ is the first MQTT broker to add OpenTelemetry support to provide complete transparency for every published message that uses the HiveMQ MQTT broker. OpenTelemetry is an open standard for instrumentation that allows for interoperability across all services so organizations can achieve visibility over their entire system.

HiveMQ says it offers first-class integration into a broad range of Application Performance Monitoring (APM) tools such as Datadog, Dynatrace, and Honeycomb, or open source alternatives like Grafana Tempo.

APM tools are being adopted rapidly but when used alone they typically have a blind spot around the MQTT data which leads to poor observability of applications. With the Distributed Tracing Extension, HiveMQ has solved that problem to unlock more value from expensive APM investments and shorten the time required to discover and resolve issues.

HiveMQ 4.9 includes the Distributed Tracing Extension and is available now.