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HiveMQ 3.4.2 released

by HiveMQ Team

The HiveMQ team is pleased to announce the availability of HiveMQ 3.4.2. This is a maintenance release for the 3.4 series and brings the following improvements:

  • Improved Logging for invalid PUBLISH messages with wildcard characters (# or +) in the topic.
  • Improved performance for UNSUBSCRIBE messages that include a large amount of topic filters.
  • Improved Keep Alive handling if MQTT messages are sent by clients before the CONNACK is received.
  • Fixed an issue when the client identifier is changed by a plugin in the OnConnectCallback.
  • Improved handling for persistent clients when the Inflight-queue limit is exceeded.
  • Removed some cosmetic error logs on HiveMQ shutdown or when a client disconnects.
  • Improved handling for max-connections throttling configuration.
  • Fixed an issue where com.hivemq.logger.* metrics are not showing any values.
  • Fixed an issue for shared subscriptions that start with a leading slash when a cluster node is restarted.
  • Improved performance for cluster joins with a topic-level-distribution larger than 1.
  • Fixed an issue with OCSP stapling when Elliptic Curve certificates are used.
  • Improved Plugin System Authentication to include authentication for the Web UI.
  • Improved the plugin system method publishToClient in the PublishService. Messages are now queued for offline clients with clean-session=false in cluster and single mode.
  • Updated integrated native SSL/TLS library to latest version.
  • Improved cluster stability in rare network-split edge cases.
  • Improved plugin system Async- and BlockingSubscriptionStore to allow batched Add and Remove operations.

You can download the new HiveMQ version here.

We recommend to upgrade if you are an HiveMQ 3.4.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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