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HiveMQ 4.28.8 Maintenance Release

by HiveMQ Team

The HiveMQ team is pleased to announce the availability of HiveMQ 4.28.8.

This maintenance release for the 4.28 series includes the following improvements:

HiveMQ Enterprise MQTT Broker

  • Extended metric data retention in the diagnostic archive to provide the last 72 hours of data to further facilitate root cause analysis and expedite incident resolution.
  • Improved the memory footprint of connected clients to significantly reduce memory overhead per connection.
  • Increased Control Center security to prevent possible exposure of client connection details.
  • Fixed an issue in the Control Center dashboard to ensure the correct maximum JVM memory value is displayed.
  • Fixed an issue that could cause a concurrent modification exception to be logged when metrics are reported.
  • Improved metrics retrieval to prevent potential blocks in metrics reporting.
  • Adjusted the handling of metric data during graceful shutdown to facilitate support.
  • Fixed an issue that could cause gaps in reported gauge metrics when one of the metrics is blocked.

HiveMQ Enterprise Extension for MySQL

  • Fixed an issue in which the MQTT to MySQL Retry metric was erroneously incremented to the MQTT to MySQL Total Failed metric.

HiveMQ Enterprise Extension for PostgreSQL

  • Fixed an issue in which the MQTT to PostgreSQL Retry metric was erroneously incremented to the MQTT to PostgreSQL Total Failed metric.

HiveMQ Enterprise Security Extension

  • Added listener pipelines configuration option to remove client connect password from memory after authentication.

MQTT CLI

  • Refined subscription options to ensure a consistent user experience across all MQTT CLI commands and adherence to best practices.

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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