HiveMQ Platform Operator for Kubernetes 1.7.2 Maintenance Release
The HiveMQ Team is pleased to announce the availability of HiveMQ Platform Operator for Kubernetes 1.7.2. This maintenance release for the 1.7 series provides useful bug fixes and usability enhancements.
HiveMQ Platform Operator for Kubernetes Helm Charts
- Added path configuration options for HiveMQ WebSockets listeners.
- Added the ability to specify the TLS protocol version and TLS cipher suites for all HiveMQ listeners.
- Added the option to configure TLS for REST API listeners.
- Added the option to configure a custom entry key for the truststore password in the Kubernetes Secret.
- Added the option to configure custom annotations for Pod Service accounts.
- Added the ability to configure Control Center credentials from a custom Kubernetes Secret.
HiveMQ Platform Operator for Kubernetes
- Resolved an issue that could incorrectly limit the disk size of the HiveMQ container to 1 GiB when the ephemeral storage settings of the HiveMQ Platform Operator init container were applied to the HiveMQ Platform container. Now, if the HiveMQ container has no ephemeral storage limit configured, the operator no longer sets ephemeral storage requests and limits for the init container. This ensures the expected unlimited ephemeral storage for the HiveMQ Platform pod. For more information, see the Kubernetes documentation on resource sharing within containers.
Get Started Today
To get started with the new operator, see our HiveMQ Platform Operator Quick Start Guide.
To update from a previous version of the Platform Operator for Kubernetes, you need to update your HiveMQ Platform custom resource definition. For simple step-by-step instructions, see our Upgrade Guide.
To learn more about all the features our operator offers, see HiveMQ Platform Operator for Kubernetes.
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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