[{"data":1,"prerenderedAt":165},["ShallowReactive",2],{"blog-2":3},{"posts":4,"total":163,"pageCount":164},[5,15,25,32,40,48,56,64,72,82,90,98,106,114,122,130,137,145,155],{"title":6,"date":7,"url":8,"description":9,"image":10,"authors":11},"Why OPC UA Is Not Replacing Modbus (Yet)","2026-03-30T00:00:00.000Z","\u002Fblog\u002F2026\u002F03\u002Fwhy-opcua-is-not-replacing-modbus-yet\u002F","OPC UA has every technical advantage. Modbus is still winning. Here's why the replacement hasn't happened and what would actually change that.","\u002Fblog\u002F2026\u002F03\u002Fimages\u002Fopcua-is-not-replacing-modbus-yet.png",[12],{"id":13,"name":14},"sumit-shinde","Sumit Shinde",{"title":16,"date":17,"url":18,"description":19,"image":20,"authors":21},"Rethinking Edge AI's Core Orchestration","2026-03-27T00:00:00.000Z","\u002Fblog\u002F2026\u002F03\u002FRethinking-Edge-AIs-Core-Orchestration\u002F","How AI-driven edge connectivity is redefining industrial operations, bridging IT and OT, and turning AI pilots into scalable, real-world impact.","\u002Fblog\u002F2026\u002F03\u002Fimages\u002FRethinking-Edge-AIs-Core-Orchestration.png",[22],{"id":23,"name":24},"zeger-jan-van-de-weg","ZJ van de Weg",{"title":26,"date":17,"url":27,"description":28,"image":29,"authors":30},"How to Parse Binary Data from Serial Devices","\u002Fblog\u002F2026\u002F03\u002Fhow-to-parse-binary-data-serial-devices\u002F","Learn how to decode binary data from any legacy serial device in Node-RED. This guide walks through frame validation, byte mapping, and bitfield parsing using a real industrial weighing scale example","\u002Fblog\u002F2026\u002F03\u002Fimages\u002Fparse-binary-data-2.png",[31],{"id":13,"name":14},{"title":33,"date":34,"url":35,"description":36,"image":37,"authors":38},"5 Places Smart Factories Are Already Using AI","2026-03-24T00:00:00.000Z","\u002Fblog\u002F2026\u002F03\u002Fai-usecases-in-factory\u002F","Most manufacturers are still debating AI adoption. These five use cases are already running in production, cutting downtime, scrap, energy costs, and injury rates.","\u002Fblog\u002F2026\u002F03\u002Fimages\u002Fai-use-case.png",[39],{"id":13,"name":14},{"title":41,"date":42,"url":43,"description":44,"image":45,"authors":46},"FlowFuse Enterprise: More Power, More Confidence","2026-03-23T00:00:00.000Z","\u002Fblog\u002F2026\u002F03\u002Fenterprise-packaging-updates\u002F","FlowFuse Enterprise now includes Certified Nodes and AI Insights — giving manufacturing teams the security, accountability, and speed they need to scale Node-RED confidently across sites. Here's what's new and why it matters.","\u002Fblog\u002F2026\u002F03\u002Fimages\u002Fenterprise-pillars-cert-nodes.png",[47],{"id":23,"name":24},{"title":49,"date":50,"url":51,"description":52,"image":53,"authors":54},"How to Monitor Industrial Network Health Using SNMP","2026-03-20T00:00:00.000Z","\u002Fblog\u002F2026\u002F03\u002Fhow-to-monitor-industrial-network-usign-snmp\u002F","Learn how to monitor industrial network health using SNMP and FlowFuse. Poll OIDs, visualize device telemetry, and detect failures before they impact operations.","\u002Fblog\u002F2026\u002F03\u002Fimages\u002Fsnmp-tile.png",[55],{"id":13,"name":14},{"title":57,"date":58,"url":59,"description":60,"image":61,"authors":62},"Edge vs Cloud AI in Manufacturing: Where Each Actually Belongs","2026-03-16T00:00:00.000Z","\u002Fblog\u002F2026\u002F03\u002Fedge-ai-vs-cloud-ai-in-iiot\u002F","Industrial AI works best when edge and cloud are treated as complementary layers. This article explores how manufacturers use hierarchical architectures to combine real-time inference on the plant floor with large-scale model training in the cloud.","\u002Fblog\u002F2026\u002F03\u002Fimages\u002Fedge-ai-vs-cloud-ai.png",[63],{"id":13,"name":14},{"title":65,"date":66,"url":67,"description":68,"image":69,"authors":70},"How to Connect to Beckhoff TwinCAT PLC Using ADS (2026)","2026-03-13T00:00:00.000Z","\u002Fblog\u002F2026\u002F03\u002Fhow-to-connect-to-twincat-using-ads\u002F","Learn how to connect Beckhoff TwinCAT to FlowFuse using ADS. This guide covers AMS routing, TwinCAT software PLC setup, and reading and writing PLC variables with node-red-contrib-ads-client.","\u002Fblog\u002F2026\u002F03\u002Fimages\u002Fbackoff-twincat.png",[71],{"id":13,"name":14},{"title":73,"date":74,"url":75,"description":76,"image":77,"authors":78},"FlowFuse 2.28: Troubleshoot Faster, Manage Edge Devices Centrally, and More Self-Hosted Flexibility","2026-03-12T00:00:00.000Z","\u002Fblog\u002F2026\u002F03\u002Fflowfuse-release-2-28\u002F","FlowFuse 2.28 lets you troubleshoot flows faster with debug log context in FlowFuse Expert, manage Remote Instances centrally with Node.js options and payload configuration, and gives self-hosted users more deployment flexibility.","\u002Fblog\u002F2026\u002F03\u002Fimages\u002Fflowfuse-release-2-28.png",[79],{"id":80,"name":81},"dimitrie-hoekstra","Dimitrie Hoekstra",{"title":83,"date":84,"url":85,"description":86,"image":87,"authors":88},"The Last Mile Problem in Industrial AI","2026-03-09T00:00:00.000Z","\u002Fblog\u002F2026\u002F03\u002Flast-mile-problem-ai\u002F","Your AI pilot passed every test and stalled before production. Here is why that keeps happening, and what it actually takes to stop it.","\u002Fblog\u002F2026\u002F03\u002Fimages\u002Flast-mile-problem-ai.png",[89],{"id":13,"name":14},{"title":91,"date":92,"url":93,"description":94,"image":95,"authors":96},"How to Stop Silent Pipeline Failures From Swallowing Your IIoT Data","2026-03-05T00:00:00.000Z","\u002Fblog\u002F2026\u002F03\u002Fhow-to-implement-dlq-and-retries\u002F","Most IIoT pipelines fail quietly. No record, no alert, no way to know what was lost. This guide shows you how to build a fault-tolerant data pipeline that catches every failure, retries intelligently, and gives you full visibility into what went wrong, when it happened, and how to fix it.","\u002Fblog\u002F2026\u002F03\u002Fimages\u002Fdlq-blog-tile.png",[97],{"id":13,"name":14},{"title":99,"date":100,"url":101,"description":102,"image":103,"authors":104},"The Bus Factor Problem in Integration Systems","2026-03-02T00:00:00.000Z","\u002Fblog\u002F2026\u002F03\u002Fbus-factory-problem-in-manufacturing\u002F","Learn how integration systems quietly become one-person knowledge traps — and what it actually takes to fix it.","\u002Fblog\u002F2026\u002F03\u002Fimages\u002Fbus-factor-problem-tile-image.png",[105],{"id":13,"name":14},{"title":107,"date":108,"url":109,"description":110,"image":111,"authors":112},"Edge AI Is 80% Plumbing, 20% Intelligence","2026-02-27T00:00:00.000Z","\u002Fblog\u002F2026\u002F02\u002Fedge-ai-is-80-percent-pipeline-and-20-percent-ai\u002F","Learn how manufacturers are turning Edge AI pilots into production reality — and why the plumbing matters more than the model.","\u002Fblog\u002F2026\u002F02\u002Fimages\u002Fedge-ai-is-80-20.png",[113],{"id":13,"name":14},{"title":115,"date":116,"url":117,"description":118,"image":119,"authors":120},"How to Build an MQTT-to-InfluxDB Data Pipeline (2026)","2026-02-26T00:00:00.000Z","\u002Fblog\u002F2026\u002F02\u002Fmqtt-influxdb-tutorial\u002F","Learn how to build a reliable MQTT-to-InfluxDB data pipeline using FlowFuse and Node-RED. No custom scripts, no glue code, just a visual flow that is easy to maintain and hand off.","\u002Fblog\u002F2026\u002F02\u002Fimages\u002Fmqtt-to-influxdb.png",[121],{"id":13,"name":14},{"title":123,"date":124,"url":125,"description":126,"image":127,"authors":128},"Modbus TCP vs Modbus RTU: Reliability, Latency, and Failure Modes","2026-02-20T00:00:00.000Z","\u002Fblog\u002F2026\u002F02\u002Fmodbus-tcp-vs-modbus-rtu\u002F","A practical engineering guide to choosing between Modbus RTU and Modbus TCP, covering real latency numbers, failure modes that hide in plain sight, and how each protocol behaves when things go wrong.","\u002Fblog\u002F2026\u002F02\u002Fimages\u002Fmodbus-rtu-vs-tcp.png",[129],{"id":13,"name":14},{"title":131,"date":124,"url":132,"description":133,"image":134,"authors":135},"Building an AI Vibration Anomaly Detector for Industrial Motors","\u002Fblog\u002F2026\u002F02\u002Fmotor-anomaly-detector-ai\u002F","Learn how to monitor industrial motors continuously, train a custom autoencoder on healthy vibration data, and deploy real-time anomaly detection in Node-RED.","\u002Fblog\u002F2026\u002F02\u002Fimages\u002Fmotor-anomaly-detection-ai.png",[136],{"id":13,"name":14},{"title":138,"date":139,"url":140,"description":141,"image":142,"authors":143},"CAN Bus Tutorial: Connect to Dashboards, Cloud, and Industrial Systems","2026-02-13T00:00:00.000Z","\u002Fblog\u002F2026\u002F02\u002Fgetting-started-with-canbus\u002F","Learn how to set up SocketCAN on Linux, configure CAN interfaces, and build CAN bus applications using FlowFuse's visual programming platform.","\u002Fblog\u002F2026\u002F02\u002Fimages\u002Fcanbus-tutorial.png",[144],{"id":13,"name":14},{"title":146,"date":147,"url":148,"description":149,"image":150,"authors":151},"FlowFuse 2.27: Integrated Editor in Remote Instances & Context-Aware FlowFuse Expert","2026-02-12T00:00:00.000Z","\u002Fblog\u002F2026\u002F02\u002Fflowfuse-release-2-27\u002F","FlowFuse 2.27 improves Remote workflows, simplifies rollback in developer mode, enhances FlowFuse Expert with live context, and introduces rolling restarts for HA Hosted instances.","\u002Fblog\u002F2026\u002F02\u002Fimages\u002Fflowfuse-release-2-27.png",[152],{"id":153,"name":154},"jamie-strusz","Jamie Strusz",{"title":156,"date":157,"url":158,"description":159,"image":160,"authors":161},"Event-Driven Architecture: 99% of Your System Requests Are Worthless","2026-02-10T00:00:00.000Z","\u002Fblog\u002F2026\u002F02\u002Fwhat-is-event-driven-architecture-in-manufacturing\u002F","Learn how Event-Driven Architecture enables real-time responsiveness in manufacturing by allowing systems to react instantly to production events, replacing traditional request-response models with automated, parallel processing.","\u002Fblog\u002F2026\u002F02\u002Fimages\u002Fevent-driven-architecture.png",[162],{"id":13,"name":14},374,20,1780946557693]