EMQ Technologies

𝗠𝗤𝗧𝗧 𝗺𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 𝘁𝗲𝗹𝗹𝘀 𝘆𝗼𝘂 𝘄𝗵𝗮𝘁 𝗶𝘀 𝗵𝗮𝗽𝗽𝗲𝗻𝗶𝗻𝗴. 𝗗𝗮𝘁𝗮 𝗼𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗵𝗲𝗹𝗽𝘀 𝘆𝗼𝘂 𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱 𝘁𝗵𝗲 𝗯𝗶𝗴𝗴𝗲𝗿 𝗽𝗶𝗰𝘁𝘂𝗿𝗲. As IoT environments grow, monitoring Broker metrics alone is no longer enough. Operations teams need visibility across devices, messages, audits, and operational data — and a way to connect these signals for deeper analysis. In this article, we explore how 𝗘𝗠𝗤𝗫 𝗧𝗮𝗯𝗹𝗲𝘀 𝗰𝗮𝗻 𝘀𝗲𝗿𝘃𝗲 𝗮𝘀 𝗮 𝘂𝗻𝗶𝗳𝗶𝗲𝗱 𝗱𝗮𝘁𝗮 𝗹𝗮𝘆𝗲𝗿 𝗳𝗼𝗿 𝗜𝗼𝗧 𝗼𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆, enabling teams to: - Monitor device and MQTT message behavior - Audit and trace historical events - Connect MQTT data with real-time operational insights - Build dashboards and visualization workflows - Extend observability with AI-driven analysis Instead of managing fragmented monitoring and data pipelines, EMQX Tables provides a simpler way to turn MQTT data into queryable, actionable operational insights. 👉 𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝗵𝗼𝘄 𝘁𝗼 𝗺𝗼𝘃𝗲 𝗯𝗲𝘆𝗼𝗻𝗱 𝗠𝗤𝗧𝗧 𝗕𝗿𝗼𝗸𝗲𝗿 𝗺𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 𝗮𝗻𝗱 𝗯𝘂𝗶𝗹𝗱 𝗮 𝘂𝗻𝗶𝗳𝗶𝗲𝗱 𝗜𝗼𝗧 𝗱𝗮𝘁𝗮 𝗼𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺: https://buff.ly/QIcfrZY #EMQX #MQTT #IoT #DataObservability #IoT #IndustrialIoT #AI

𝗢𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝘄𝗼𝗿𝗹𝗱'𝘀 𝗹𝗲𝗮𝗱𝗶𝗻𝗴 𝗖𝗼𝗰𝗮-𝗖𝗼𝗹𝗮 𝗯𝗼𝘁𝘁𝗹𝗲𝗿𝘀 𝗶𝘀 𝗺𝗼𝗱𝗲𝗿𝗻𝗶𝘇𝗶𝗻𝗴 𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗺𝗮𝗶𝗻𝘁𝗲𝗻𝗮𝗻𝗰𝗲 𝘄𝗶𝘁𝗵 𝗘𝗠𝗤𝗫 𝗡𝗲𝘂𝗿𝗼𝗻, keeping high-speed production lines running reliably. To move beyond scheduled maintenance and reactive repairs, 𝗦𝘄𝗶𝗿𝗲 𝗖𝗼𝗰𝗮-𝗖𝗼𝗹𝗮 built an edge-intelligent valve monitoring solution that combines industrial protocol connectivity, real-time stream processing, and on-device AI inference. 𝗧𝗵𝗲 𝗿𝗲𝘀𝘂𝗹𝘁: ✅ 𝗘𝗮𝗿𝗹𝘆 𝗱𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 of valve anomalies before failures occur ✅ 𝗥𝗲𝗱𝘂𝗰𝗲𝗱 𝘂𝗻𝗽𝗹𝗮𝗻𝗻𝗲𝗱 𝗱𝗼𝘄𝗻𝘁𝗶𝗺𝗲 on bottling lines ✅ 𝗠𝗼𝗿𝗲 𝗰𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝘁 𝗽𝗿𝗼𝗱𝘂𝗰𝘁 𝗾𝘂𝗮𝗹𝗶𝘁𝘆 and equipment performance ✅ 𝗙𝗮𝘀𝘁𝗲𝗿 𝗺𝗮𝗶𝗻𝘁𝗲𝗻𝗮𝗻𝗰𝗲 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀 with real-time edge intelligence ✅ 𝗔 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 ready for pumps, motors, and other production assets It's another example of how edge intelligence is helping manufacturers transform maintenance from reactive to predictive. 𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝘀𝘁𝗼𝗿𝘆: https://buff.ly/KlzlGom #SmartManufacturing #IndustrialAI #PredictiveMaintenance #EdgeComputing #IIoT #MQTT #EMQX

𝗘𝗠𝗤𝗫 𝗖𝗹𝗼𝘂𝗱 𝗶𝘀 𝗲𝘅𝗽𝗮𝗻𝗱𝗶𝗻𝗴 𝗯𝗲𝘆𝗼𝗻𝗱 𝗺𝗮𝗻𝗮𝗴𝗲𝗱 𝗠𝗤𝗧𝗧. 𝗘𝗠𝗤𝗫 𝗔𝗴𝗲𝗻𝘁𝘀 and 𝗘𝗠𝗤𝗫 𝗙𝗹𝗲𝗲𝘁𝘀 are now in Public Beta, bringing AI-assisted workflows and managed device management directly to EMQX Cloud. At the same time, 𝗘𝗠𝗤𝗫 𝗕𝗿𝗼𝗸𝗲𝗿 𝘃𝟲 is now available for supported Dedicated and Dedicated Flex deployments, with new capabilities including targeted Log Trace, Event History, and expanded data integrations with BigQuery and Snowflake. Together, these updates strengthen EMQX Cloud as a cloud-native IoT platform for 𝗰𝗼𝗻𝗻𝗲𝗰𝘁𝗶𝗻𝗴, 𝗺𝗮𝗻𝗮𝗴𝗶𝗻𝗴, 𝗼𝗯𝘀𝗲𝗿𝘃𝗶𝗻𝗴, 𝗮𝗻𝗱 𝗽𝘂𝘁𝘁𝗶𝗻𝗴 𝗜𝗼𝗧 𝗱𝗮𝘁𝗮 𝘁𝗼 𝘄𝗼𝗿𝗸. 𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝘁𝗵𝗲 𝗹𝗮𝘁𝗲𝘀𝘁 𝗘𝗠𝗤𝗫 𝗖𝗹𝗼𝘂𝗱 𝘂𝗽𝗱𝗮𝘁𝗲𝘀: https://buff.ly/IOn1Htv #EMQX #MQTT #IoT #AI #AIAgents #DeviceManagement #IndustrialIoT

𝗬𝗼𝘂𝗿 𝗜𝗼𝗧 𝗱𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱 𝘀𝗵𝗼𝘄𝘀 𝘄𝗵𝗮𝘁 𝗵𝗮𝗽𝗽𝗲𝗻𝗲𝗱. 𝗔𝗜 𝘀𝗵𝗼𝘂𝗹𝗱 𝗲𝘅𝗽𝗹𝗮𝗶𝗻 𝘄𝗵𝘆 𝗶𝘁 𝗵𝗮𝗽𝗽𝗲𝗻𝗲𝗱 𝗮𝗻𝗱 𝘄𝗵𝗮𝘁 𝘁𝗼 𝗱𝗼 𝗻𝗲𝘅𝘁. This tutorial shows how to build an IoT Intelligent Analytics Assistant by combining 𝗘𝗠𝗤𝗫 𝗧𝗮𝗯𝗹𝗲𝘀 with the 𝗢𝗽𝗲𝗻𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 𝗦𝗗𝗞. Instead of building a complex AI data pipeline, you can use MQTT telemetry and real-time broker status to create an assistant that delivers: - Device health assessments - Anomaly & trend analysis - High-risk asset identification - Root cause analysis - AI-generated maintenance recommendations Turn MQTT data into operational intelligence with a lightweight, AI-native architecture. 𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝘁𝘂𝘁𝗼𝗿𝗶𝗮𝗹: https://buff.ly/ftsQ8nS #IoT #AI #MQTT #EMQX #OpenAI #IndustrialAI

𝗖𝗹𝗼𝘂𝗱 𝗡𝗮𝘁𝗶𝘃𝗲 𝗘𝗱𝗴𝗲 𝗶𝘀 𝗿𝗲𝗱𝗲𝗳𝗶𝗻𝗶𝗻𝗴 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲. 𝗪𝗵𝗮𝘁 𝗱𝗼𝗲𝘀 𝗶𝘁 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗺𝗲𝗮𝗻 𝗳𝗼𝗿 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 𝘀𝘆𝘀𝘁𝗲𝗺𝘀? It's more than running containers at the edge. It's an architectural approach that makes industrial infrastructure 𝗹𝗶𝗴𝗵𝘁𝘄𝗲𝗶𝗴𝗵𝘁, 𝗽𝗼𝗿𝘁𝗮𝗯𝗹𝗲, 𝗼𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗹𝗲, 𝗮𝗻𝗱 𝗿𝗲𝗮𝗱𝘆 𝘁𝗼 𝘀𝗰𝗮𝗹𝗲, from a single production line to hundreds of sites. In our latest whitepaper, we explore how 𝗖𝗹𝗼𝘂𝗱 𝗡𝗮𝘁𝗶𝘃𝗲 𝗘𝗱𝗴𝗲 is reshaping Industrial AI, including: ✔ Cloud-native design principles for OT ✔ Reference architectures for edge-to-cloud deployments ✔ Containerized deployment and fleet-scale operations ✔ Migration guidance and TCO analysis If you're building the next generation of industrial infrastructure, this is where to start. 📥 𝗗𝗼𝘄𝗻𝗹𝗼𝗮𝗱 𝘁𝗵𝗲 𝘄𝗵𝗶𝘁𝗲𝗽𝗮𝗽𝗲𝗿: https://buff.ly/4UtWyxb #IndustrialAI #CloudNative #EdgeComputing #IIoT #EMQX

𝗔 𝗺𝗶𝘀𝘀𝗶𝗻𝗴 𝗠𝗤𝗧𝗧 𝗺𝗲𝘀𝘀𝗮𝗴𝗲 𝗶𝘀 𝗲𝗮𝘀𝘆 𝘁𝗼 𝗿𝗲𝗽𝗼𝗿𝘁. 𝗙𝗶𝗻𝗱𝗶𝗻𝗴 𝗼𝘂𝘁 𝗲𝘅𝗮𝗰𝘁𝗹𝘆 𝘄𝗵𝗮𝘁 𝗵𝗮𝗽𝗽𝗲𝗻𝗲𝗱 𝗶𝘀 𝗺𝘂𝗰𝗵 𝗵𝗮𝗿𝗱𝗲𝗿. Was it published successfully? Did it reach the subscriber? Was the QoS acknowledgment received? ... Traditional broker metrics cannot answer these message-level questions. With 𝗘𝗠𝗤𝗫 𝗧𝗮𝗯𝗹𝗲𝘀, teams can build a lightweight MQTT message audit platform that captures key message events and enables historical tracing through SQL. Instead of storing every MQTT packet, store the events that matter and gain long-term visibility into MQTT message flows with minimal infrastructure. 𝗟𝗲𝗮𝗿𝗻 𝗵𝗼𝘄 𝘁𝗼 𝗯𝘂𝗶𝗹𝗱 𝗠𝗤𝗧𝗧 𝗺𝗲𝘀𝘀𝗮𝗴𝗲 𝗮𝘂𝗱𝗶𝘁𝗶𝗻𝗴 𝗮𝗻𝗱 𝘁𝗿𝗮𝗰𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗘𝗠𝗤𝗫 𝗧𝗮𝗯𝗹𝗲𝘀: https://buff.ly/i8sXzqq #MQTT #IoT #EMQX #Observability

𝗛𝗼𝘄 𝗺𝗮𝗻𝘆 𝗰𝗼𝗺𝗽𝗼𝗻𝗲𝗻𝘁𝘀 𝗱𝗼𝗲𝘀 𝗶𝘁 𝘁𝗮𝗸𝗲 𝘁𝗼 𝘃𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗲 𝗠𝗤𝗧𝗧 𝗱𝗮𝘁𝗮? For many IoT projects, the answer is still: 𝗠𝗤𝗧𝗧 𝗕𝗿𝗼𝗸𝗲𝗿 → 𝗞𝗮𝗳𝗸𝗮 → 𝗘𝗧𝗟 → 𝗧𝗶𝗺𝗲-𝗦𝗲𝗿𝗶𝗲𝘀 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 → 𝗚𝗿𝗮𝗳𝗮𝗻𝗮. But for most telemetry workloads, that architecture is often more complex than necessary. In this tutorial, we show how to build real-time IoT dashboards with 𝗘𝗠𝗤𝗫 𝗧𝗮𝗯𝗹𝗲𝘀 𝗮𝗻𝗱 𝗚𝗿𝗮𝗳𝗮𝗻𝗮, enabling you to: ✅ Store MQTT telemetry directly in a built-in time-series database ✅ Query data instantly with standard SQL ✅ Connect Grafana using the PostgreSQL data source ✅ Build live dashboards without Kafka or ETL pipelines Whether you're monitoring factory equipment, energy assets, or connected devices, this approach shortens the data path and simplifies your entire observability stack. 👉 𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝘁𝘂𝘁𝗼𝗿𝗶𝗮𝗹: https://buff.ly/HKpcsFk #MQTT #IoT #Grafana #Observability #IndustrialIoT #TimeSeries #EMQX

𝗥𝗲𝘀𝗶𝗱𝗲𝗻𝘁𝗶𝗮𝗹 𝗲𝗻𝗲𝗿𝗴𝘆 𝘀𝘁𝗼𝗿𝗮𝗴𝗲 𝗶𝘀 𝗴𝗲𝘁𝘁𝗶𝗻𝗴 𝘀𝗺𝗮𝗿𝘁𝗲𝗿, 𝗯𝘂𝘁 𝗺𝗼𝘀𝘁 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘀𝘁𝗶𝗹𝗹 𝗿𝗲𝗹𝘆 𝗼𝗻 𝗳𝗶𝘅𝗲𝗱 𝗿𝘂𝗹𝗲𝘀. Charge when electricity is cheap. Discharge during peak hours. Follow predefined schedules. That works, until real-world conditions change. What if your energy storage system could 𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱 𝗰𝗼𝗻𝘁𝗲𝘅𝘁, 𝗿𝗲𝗮𝘀𝗼𝗻 𝗮𝗯𝗼𝘂𝘁 𝘁𝗿𝗮𝗱𝗲-𝗼𝗳𝗳𝘀, 𝗮𝗻𝗱 𝗺𝗮𝗸𝗲 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀 instead of simply executing rules? In this article, we explore how 𝗘𝗠𝗤 𝗗𝗲𝘃𝗶𝗰𝗲 𝗔𝗴𝗲𝗻𝘁 transforms residential energy storage into an AI-powered agent that can: ⚡ 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱 natural language instructions 🏠 𝗖𝗼𝗼𝗿𝗱𝗶𝗻𝗮𝘁𝗲 with smart home devices 📈 𝗔𝗻𝗮𝗹𝘆𝘇𝗲 real-time electricity prices and weather forecasts 🤖 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗲 with other AI agents to optimize household energy usage 🔌 Move beyond rule-based automation to 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻-𝗺𝗮𝗸𝗶𝗻𝗴 Built on MQTT, Device Agent provides a practical foundation for the next generation of AI-native energy management systems. 👉 𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗮𝗿𝘁𝗶𝗰𝗹𝗲: https://buff.ly/GZ1tvsZ #AI #AgenticAI #EnergyStorage #SmartHome #IoT #MQTT #EMQX #DeviceAgent

𝗜𝗻𝘁𝗲𝗿𝗺𝗶𝘁𝘁𝗲𝗻𝘁 𝗠𝗤𝗧𝗧 𝗶𝘀𝘀𝘂𝗲𝘀 𝗮𝗿𝗲 𝘀𝗼𝗺𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗵𝗮𝗿𝗱𝗲𝘀𝘁 𝗽𝗿𝗼𝗯𝗹𝗲𝗺𝘀 𝘁𝗼 𝘁𝗿𝗼𝘂𝗯𝗹𝗲𝘀𝗵𝗼𝗼𝘁. By the time an issue is reported, 𝗧𝗿𝗮𝗰𝗲 may not have been enabled, and reproducing the problem isn't always possible. Instead of relying on continuous packet tracing, this article demonstrates how to build a lightweight, always-on MQTT audit solution using 𝗘𝗠𝗤𝗫 𝗧𝗮𝗯𝗹𝗲𝘀. All event metadata is stored in a single time-series table and can be queried instantly with standard SQL, without Kafka, external logging platforms, or additional data pipelines. If you're looking for a practical way to retain MQTT audit history while minimizing storage and operational overhead, this guide walks through the complete implementation. 📖 𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝘁𝘂𝘁𝗼𝗿𝗶𝗮𝗹: https://lnkd.in/eCShNyWJ #MQTT #IoT #EMQX #Observability #TimeSeriesDatabase

𝗪𝗲'𝗿𝗲 𝗲𝗻𝘁𝗲𝗿𝗶𝗻𝗴 𝗮 𝗻𝗲𝘄 𝗲𝗿𝗮 𝗼𝗳 𝗜𝗼𝗧, 𝘄𝗵𝗲𝗿𝗲 𝗱𝗲𝘃𝗶𝗰𝗲𝘀 𝗱𝗼𝗻'𝘁 𝗷𝘂𝘀𝘁 𝗰𝗼𝗻𝗻𝗲𝗰𝘁; 𝘁𝗵𝗲𝘆 𝗰𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗲. EMQ 𝗗𝗲𝘃𝗶𝗰𝗲 𝗔𝗴𝗲𝗻𝘁 turns physical devices into AI agents. Simply describe your device in 𝗻𝗮𝘁𝘂𝗿𝗮𝗹 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲, and Device Agent generates the device specification, edge SDKs, simulator, and AI interaction layer in minutes. Built on MQTT, it also enables 𝘃𝗼𝗶𝗰𝗲 𝗮𝗻𝗱 𝘃𝗶𝘀𝗶𝗼𝗻 𝗶𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝗼𝗻, 𝗲𝘅𝘁𝗲𝗿𝗻𝗮𝗹 𝘁𝗼𝗼𝗹𝘀, 𝗮𝗻𝗱 𝗱𝗲𝗰𝗲𝗻𝘁𝗿𝗮𝗹𝗶𝘇𝗲𝗱 𝗮𝗴𝗲𝗻𝘁-𝘁𝗼-𝗮𝗴𝗲𝗻𝘁 𝗰𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻, helping developers build AI-native connected products much faster. Whether you're building industrial equipment, robots, smart home products, or other IoT solutions, Device Agent provides a faster path from hardware to AI. ➡️ 𝗥𝗲𝗮𝗱 𝗺𝗼𝗿𝗲: https://buff.ly/20QEpRs #IoT #AI #AgenticAI #MQTT #AIAgents