EMQ Device Agent enables intelligent energy storage management with AI-driven optimization, dynamic tariff scheduling, natural language control, and cloud-native device intelligence.
Transform any IoT device into an AI agent with EMQ Device Agent. Features natural language device modeling, multimodal interaction, SDK generation, and A2A collaboration.
This guide demonstrates how to build an MQTT client on Zephyr RTOS and connect it to an EMQX Broker in two different modes.
Compare EMQX MQTT Streams and NATS JetStream for durable IoT telemetry, including replay, work queues, device features, protocols, licensing, and deployment fit.
Explore how MQTT Streams in EMQX 6.1 enable durable, replayable event streaming, transforming MQTT from real-time messaging into a scalable data backbone for IoT, analytics, and AI systems.
EMQX enhances MQTT security by integrating JWT authentication and authorization, enabling claim-based identity validation and fine-grained topic access control for scalable, enterprise-grade IoT platforms.
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.
Learn how to export MQTT data from EMQX to Amazon S3 in Parquet format and analyze it with DuckDB for cost-efficient, SQL-driven IoT analytics.
This final part assumes your infrastructure and Erlang VM are already hardened, as described in Part 2. We now move to the layers most SREs and security teams interact with day‑to‑day: TLS termination, MQTT‑level authentication and authorization, administrative access, and disaster recovery.
This second article focuses on the foundation beneath EMQX: the Linux kernel, network stack, and Erlang VM. If Part 1 explained why security and reliability converge for a stateful MQTT broker, this part shows where that convergence actually bites in production: file descriptors, TCP behavior under load, firewall rules, and Erlang distribution security.
This article is the first in a three-part series on hardening EMQX for large‑scale IoT production use. Here we frame security as a core reliability concern, explain why MQTT’s stateful nature changes the threat model, and end with a practical checklist you can apply directly to your own clusters.
This version introduces powerful new bridging capabilities, a more intuitive management experience through Dashboard updates, and important changes to our license policy and installation process.