EMQX 6.1.0 Released: Replayable MQTT Streams, Advanced Multi-Tenancy, and Expanded Integrations
EMQX 6.1.0 brings MQTT Streams for replayable messaging, enhanced multi-tenancy, and expanded data integration for enterprise-scale IoT.

EMQX 6.1.0 brings MQTT Streams for replayable messaging, enhanced multi-tenancy, and expanded data integration for enterprise-scale IoT.


This release includes CRL and OCSP Stapling to provide more flexible security protection for clients and integrates with Google Cloud Pub/Sub to help you create more value from IoT data using Google Cloud services.

This article will describe how to connect GCP IoT Core devices to EMQX Cloud via TLS/SSL ports.

In this series of articles, I will deliver a tutorial about the solution for migrating device connections from GCP IoT Core to EMQX Cloud with the same features equipped.

This article introduces the role of each connection parameter in MQTT and helps developers take their first steps in using MQTT.

Recently, MQTT X 1.9.0 has been released. For the command-line client, the bench command has been added to help users easily complete MQTT service performance testing.

EMQ has open-sourced a JMeter-based MQTT test plug-in, and this article will introduce how to use this MQTT plug-in in JMeter.

This article introduces how to use MQTT in the Dart project, and implements the connection, subscription and messaging, etc of MQTT.

Through the platform data caching capability provided by shadow services, users can more easily implement various scenarios of applications and shorten the R&D cycle.

Recently, MQTT X released the latest version 1.8.3, The main optimization of function usage and the various problems encountered in the process of use are fixed.

NanoMQ continued to update steadily in September, and the latest v0.12.1 has been officially released recently.

To enable more convenient IoT data processing and further simplify the development process for users to build IoT applications, EMQX Cloud recently launched a new value-added service - Shadow Service.

We will simulate temperature and humidity data, report it to the EMQX cloud on the GCP platform via the MQTT protocol, and save the data to the InfluxDB Cloud over the public network.