HiveMQ 4.28.6 Maintenance Release
The HiveMQ team is pleased to announce the availability of HiveMQ 4.28.6.
This maintenance release for the 4.28 series includes the following improvements:
HiveMQ Enterprise MQTT Broker
- Reduced the number of message availability notifications sent to connected clients for shared subscriptions to prevent unnecessary resource usage.
- Refined the audit log statements that actions in the control center generate to provide clearer feedback.
HiveMQ Data Hub
- Added the ability to define an init function in transformation scripts to declare branches proactively.
- Added Arm64 Linux support for Data Hub scripting.
- Fixed an issue with the handling of Control Center policy update ETags to ensure that previously updated policies can be updated/deleted in the Control Center and REST API as expected.
- Adjusted handling of scripts that do not utilize the
addPublishfunctions to enhance performance.
HiveMQ Enterprise Extension for MySQL
- Improved log statements to reduce ambiguity on batch operations that span multiple topics.
HiveMQ Enterprise Extension for PostgreSQL
- Improved log statements to reduce ambiguity on batch operations that span multiple topics.
HiveMQ Platform (general)
- SHA256 checksums are now published for every release artifact on
releases.hivemq.comand a.sha256file ending is appended to each artifact file name. - The OpenAPI documents for the HiveMQ Enterprise MQTT Broker and HiveMQ Swarm are now published as release artifacts on
releases.hivemq.comand are appended with an-openapi.yamlfile ending.
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.
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