This release takes MQTT a step further by adding native support for the A2A protocol over MQTT, enabling AI agents to register, discover, and collaborate directly through the broker without additional infrastructure.
EMQX 5.0.16, 5.0.17, and 5.0.18 have recently been released, introducing multistream support for MQTT over QUIC.
The new version provides a new plugin designed for real-time AI inference on data streams such as video streaming. This is a generic AI function that is compatible with most pre-trained Tensor Flow Lite models.
MQTT X 1.9.1 has significantly reduced CPU and memory usage by 80% compared to the previous version, resulting in greatly optimized overall performance and reduced risk of system crashes.
EMQX Cloud Serverless provides users with the blazing-fast deployment of MQTT services in just 5 seconds without concerns about server infrastructure management or resource allocation when service scales.
We will first explain why this buffer is needed, then we will take the Kafka integration as an example, to introduce the high-level design, then drill down for more details to understand better how replayq works.
In this article, we will describe how to use EMQX Cloud's data integration feature to bridge data to GCP pub/sub and then transfer data to other applications.
We will report data to the EMQX Cloud via the MQTT, after which we will use the EMQX Cloud data integration to enable NAT gateway and save the data to the AWS DynamoDB over the public network.
We will simulate temperature and humidity data and report these data to EMQX Cloud via the MQTT and then use the EMQX Cloud Data Integrations to save the data into ClickHouse Cloud.
In this article, we will set up a two-way TLS/SSL authentication for an EMQX Cloud deployment with a third-party certification.
This year marks a significant milestone for EMQ. Ten years back, on December 17, 2012, EMQX was released as an open-source project on GitHub.
The team currently focuses on version 1.91, the MQTT X CLI will be able to automatically reconnect, save and read local configuration files, and convert messages to different formats.
XMeter Cloud Professional Edition will go live next month, and it will be able to provide more robust support for users who need to test MQTT on a large scale.