HiveMQ Enterprise MQTT Broker

Fine-tuned Control Center information collection to improve efficiency and eliminate unnecessary bandwidth usage.

Fixed an edge case in which PUBLISH payloads stored on disk are not properly cleaned up after replication.

Fixed an issue when using shared subscriptions that could cause an unnecessary increase in network, CPU, and memory usage for some high-volume scenarios.

Fixed an issue in which a browser session timeout could cause the Control Center Clients view to become unresponsive.

Fixed an issue that could throw a nonessential exception during certain cluster topology changes.

Have a great day, The HiveMQ Team

HiveMQ Team

Team HiveMQ brings together deep expertise in MQTT, Industrial AI, IoT data streaming, UNS, and Industrial IoT protocols. Follow us for practical deployment guidance, best practices for building a secure, reliable data backbone, and insights into how we are shaping the future of connected industries.

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