A new release of HiveMQ 4.4 includes features that make it easier for IoT developers to deploy and integrate MQTT and HiveMQ into IoT applications
HiveMQ, developers of the popular enterprise MQTT platform, announced a major new release that simplifies the integration of HiveMQ and MQTT into enterprise and industrial applications. The new HiveMQ 4.4 release includes new features that respond to customer requirements that makes it easier to integrate and deploy IoT applications.
HiveMQ is an enterprise MQTT platform that makes it possible to quickly move data from connected IoT devices to the cloud. Organizations are looking for better ways of integrating the IoT infrastructure software and IoT data into the existing enterprise and industrial applications. This tighter integration makes it easier to deploy IoT applications and gain the benefits of deeper real-time analysis of the IoT data.
Recommended AI News: Anglepoint Named a Leader in New Gartner Magic Quadrant for SAM Managed Services
HiveMQ 4.4 offers IoT and MQTT customers key new features for deploying and integrating IoT applications, including:
- REST API that allows developers to programmatically interact with the HiveMQ broker and system data. This makes it easier to automate tasks to control HiveMQ, for example initiate a back-up, and access system data, such as client online/offline status.
- Enterprise Bridge Extension that allows for the creation of a federation of MQTT brokers to share IoT data between MQTT broker instances. This makes it possible to share IoT data between disparate applications and locations.
- Kubernetes Operator that can be used to easily deploy HiveMQ into Kubernetes managed clusters. The HiveMQ Kubernetes Operator represents a set of best practices for deploying HiveMQ into Kubernetes.
- Client Event History offers a historical view of all the events attributed to a single MQTT client. This provides a level of IoT observability not available in current IoT deployments. It is now possible to undertake a detailed analysis of an IoT device’s behaviour to observe the client operation and then troubleshoot a potential problem.
- HiveMQ Kafka Extension has been updated to allow developers to provide programmatic transformations of MQTT to Kafka messages. This level of control of message transformation makes it possible to create a deeper level of integration of IoT data with Kafka clusters.
- New MQTT Add-ons allow for application level observability. Clients can subscribe to expired MQTT messages as well as dropped messages, so customers can react to unexpected problematic device behavior and get observability on message and device level.
Recommended AI News: Van Andel Institute Launches Return-To-Learn Teacher Support Series for K–12 Teachers
HiveMQ also announced an updated release strategy for future HiveMQ releases. The company regular release cycle that will result in a new feature release every four months. Each release will include updates of the core HiveMQ broker, HiveMQ enterprise extensions, and HiveMQ tools.
Recommended AI News: Workforce Dimensions by Kronos Drives Workforce Agility at Iron Mountain in India
Comments are closed, but trackbacks and pingbacks are open.