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HiveMQ 3.3.3 Released

by HiveMQ Team

The HiveMQ team is pleased to announce the availability of HiveMQ 3.3.3. This is a maintenance release for the 3.3 series and brings the following improvements:

  • Adds global option to rate-limit plugin service calls
  • Improved Logging for configured TLS Cipher Suites
  • Improved Retained Message Metrics
  • Improved support for Java 9
  • Fixed an issue where the metric half-full-queue.count could show an incorrect value
  • Fixed an issue that could cause cluster nodes to wait for operational nodes on startup indefinitely
  • Improved payload reference counting for single node deployments
  • Fixed an issue with rolling upgrades in an edge case where a node with a newer version is joining during network-split
  • Improved Shutdown behaviour for OnPublishReceivedCallbacks and plugin system services
  • Fixed an issue where assignments in the ClientGroupingService got cleaned up prematurely
  • Improved example configuration file for in-memory persistence

You can download the new HiveMQ version here.

We recommend to upgrade if you are an HiveMQ 3.3.x user.

Have a great day, The HiveMQ Team

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.

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