HiveMQ 4.28.4 Maintenance Release
The HiveMQ team is pleased to announce the availability of HiveMQ 4.28.4.
This maintenance release for the 4.28 series includes the following improvements:
HiveMQ Enterprise MQTT Broker
- Added metrics for the system, extension, and health group endpoints of the Health API that expose the health state of the broker as numeric values.
- Fixed an issue that could allow invalid packet IDs when using MQTT 3.
- Fixed an issue that could intermittently throw a Null Pointer Exception during broker startup when a Bridge extension in SUB mode is used.
- Fixed an issue that could cause an unnecessary error message to be logged during prolonged high memory usage.
- Fixed an issue that could prevent correct message delivery during a cluster topology change.
- Streamlined internal task management to increase efficiency and boost message throughput on larger machines.
- Improved request handling to reduce latency and CPU consumption.
- Improved message throughput for machines with multiple CPU cores.
- Improved resource usage to boost message throughput.
- Reduced end-to-end message latency and memory footprint to heighten broker efficiency.
- Improved script and schema handling to allow immediate deletion once all referenced policies are removed with no waiting period.
- Streamlined module instance handling to allow instances to be directly deleted without being first disabled.
HiveMQ Enterprise Security Extension
- Fixed an issue that could cause the REST API pipeline to return an incorrect WWW-Authenticate response header.
- Fixed an issue to ensure case-insensitive handling of request header names in the HTTP Headers preprocessor.
HiveMQ Enterprise Extension for Kafka
- Fixed an issue that incorrectly allowed extension configuration files with an invalid root tag.
HiveMQ Enterprise Extension for MongoDB
- Added new retry behavior for inserts that fail due to connection errors to avoid possible data loss.
MQTT CLI
- Added support for ARM-based platforms to the MQTT CLI container image.
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.
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