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Home Technology Application and Middleware

HiveMQ claims first-to-market real-time IoT observability from device to cloud

FutureIoT Editors by FutureIoT Editors
October 4, 2022
Photo by Dylan Chan: https://www.pexels.com/photo/sunset-sky-over-sea-and-lighthouse-located-on-hill-4417072/

Photo by Dylan Chan: https://www.pexels.com/photo/sunset-sky-over-sea-and-lighthouse-located-on-hill-4417072/

Complete IoT observability requires insight into three pillars: metrics, traces and logs. Distributed Tracing is a way to trace events and achieve a high-level overview of a message’s journey through multiple, complex systems.

HiveMQ has added distributed tracing to help organizations achieve end-to-end observability and make their IoT applications more performant and resilient.

With the Distributed Tracing Extension, HiveMQ adds OpenTelemetry support to provide complete transparency for every publish 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.

Christian Götz

“We’re the first MQTT broker to enable true IoT observability so customers can trace MQTT data and gather diagnostic information in real-time rather than after the fact,” said Christian Götz, CEO and Co-founder of HiveMQ.

“IoT observability is key as it allows customers to quickly identify latency bottlenecks or reasons for failure in critical transactions and decrease the time spent resolving these issues.”

Christian Götz

Competitive landscape

HiveMQ 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.

What’s new

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.

“In a complex architecture, customers often don’t know where to start when they experience a problem,” adds Götz. “Say opening the car door with a mobile application is taking 5 to 10 seconds instead of 1 second. A detailed look at where the message request travelled and how long it took at each step makes it easy to identify the root cause of latency so it can be fixed.”

Related:  New Optus-Nokia IoT tie-up targets Australia's heavy industries
Tags: application performance monitoringDatadogDynatraceGrafana TempoHiveMQHoneycombIoT observability
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The race to harness the power of Internet of Things (IoT) is here. FutureIoT is dedicated to individuals, as well as public and private organizations looking to tap the potential of IoT to transform the way we live, work and do business. FutureIoT is the dedicated media that provides the single source of truth about IoT, the technology, its application and regulation, originating from Asia. << Read more >>

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