HiveMQ - JVM Metrics Plugin
The new holistic monitoring approach of HiveMQ 3 allows to hook in all kinds of custom metrics to HiveMQs internal registry. One of the most popular customer use cases was to include information about the JVM via custom plugins, so the central HiveMQ monitoring also included this important system information.
We are pleased to announce the release of the official HiveMQ JVM Metrics Plugin now. This plugin exposes all available information of the Java Virtual Machine to HiveMQs internal metric registry, so these metrics are included in the centralized HiveMQ monitoring of your choice.
This officially supported plugin includes information about:
Memory usage
Threads
Class Loaders
Garbage Collection
Open Files
Buffer Pool
If you want to learn more about the plugin, check it out in our plugin registry: HiveMQ JVM Metrics Plugin.
HiveMQ Team
Team HiveMQ shares deep expertise in MQTT, Industrial AI, IoT data streaming, Unified Namespace (UNS), and Industrial IoT protocols. Our blogs explore real-world challenges, practical deployment guidance, and best practices for building modern, reliable, and a secure data backbone on the HiveMQ platform, along with thought leadership shaping the future of the connected world.
We’re on a mission to build the Industrial AI Platform that transforms industrial data into real-time intelligence, actionable insights, and measurable business outcomes.
Our experts are here to support your journey. Have questions? We’re happy to help. Contact us.
