Blog

How AI-driven edge connectivity is redefining industrial operations, bridging IT and OT, and turning AI pilots into scalable, real-world impact.

Most manufacturers are still debating AI adoption. These five use cases are already running in production, cutting downtime, scrap, energy costs, and injury rates.

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.

Learn how to monitor industrial network health using SNMP and FlowFuse. Poll OIDs, visualize device telemetry, and detect failures before they impact operations.

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.

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.

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.

Your AI pilot passed every test and stalled before production. Here is why that keeps happening, and what it actually takes to stop it.

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.

Learn how integration systems quietly become one-person knowledge traps, and what it actually takes to fix it.

Learn how manufacturers are turning Edge AI pilots into production reality, and why the plumbing matters more than the model.

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.

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.

Learn how to monitor industrial motors continuously, train a custom autoencoder on healthy vibration data, and deploy real-time anomaly detection in Node-RED.

Learn how to set up SocketCAN on Linux, configure CAN interfaces, and build CAN bus applications using FlowFuse's visual programming platform.

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.

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.

Learn how to connect FlowFuse to MTConnect agents, parse machine data streams, and build real-time manufacturing dashboards without custom code.

Industrial AI doesn't fail because of bad models - it fails because of bad architecture. Discover why signals need context and how a Unified Namespace makes AI work on the shop floor.