Blog
Rethinking Edge AI's Core Orchestration
How AI-driven edge connectivity is redefining industrial operations, bridging IT and OT, and turning AI pilots into scalable, real-world impact.
5 Places Smart Factories Are Already Using AI
Most manufacturers are still debating AI adoption. These five use cases are already cutting downtime, scrap, and energy costs.
How to Monitor Industrial Network Health Using SNMP
Learn how to monitor industrial network health using SNMP and FlowFuse: poll OIDs, visualize telemetry, detect failures.
Edge vs Cloud AI in Manufacturing: Where Each Actually Belongs
Industrial AI works best when edge and cloud are complementary layers combining real-time inference with cloud model training.
How to Connect to Beckhoff TwinCAT PLC Using ADS (2026)
Learn how to connect Beckhoff TwinCAT to FlowFuse using ADS, covering AMS routing and reading and writing PLC variables.
FlowFuse 2.28: Troubleshoot Faster, Manage Edge Devices Centrally, and More Self-Hosted Flexibility
FlowFuse 2.28 lets you troubleshoot flows faster with debug log context and manage Remote Instances centrally with more options.
The Last Mile Problem in Industrial AI
Your AI pilot passed every test and stalled before production. Here is why that keeps happening, and what it actually takes to stop it.
How to Stop Silent Pipeline Failures From Swallowing Your IIoT Data
Most IIoT pipelines fail quietly. Learn how to build a fault-tolerant data pipeline that catches every failure and retries.
The Bus Factor Problem in Integration Systems
Learn how integration systems quietly become one-person knowledge traps, and what it actually takes to fix it.
Edge AI Is 80% Plumbing, 20% Intelligence
Learn how manufacturers are turning Edge AI pilots into production reality, and why the plumbing matters more than the model.
How to Build an MQTT-to-InfluxDB Data Pipeline (2026)
Learn how to build a reliable MQTT-to-InfluxDB data pipeline using FlowFuse and Node-RED, with no custom scripts required.
Modbus TCP vs Modbus RTU: Reliability, Latency, and Failure Modes
A practical engineering guide to choosing between Modbus RTU and Modbus TCP, covering real latency numbers and failure modes.
Building an AI Vibration Anomaly Detector for Industrial Motors
Learn how to monitor industrial motors continuously, train a custom autoencoder on healthy vibration data, and deploy real-time anomaly detection in Node-RED.
CAN Bus Tutorial: Connect to Dashboards, Cloud, and Industrial Systems
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: Integrated Editor in Remote Instances & Context-Aware FlowFuse Expert
FlowFuse 2.27 improves Remote workflows, simplifies rollback in developer mode, and adds a context-aware FlowFuse Expert.
Event-Driven Architecture: 99% of Your System Requests Are Worthless
Learn how Event-Driven Architecture enables real-time responsiveness in manufacturing, replacing request-response models.
Mapping MTConnect Streams for Dashboard Visualization
Learn how to connect FlowFuse to MTConnect agents, parse machine data streams, and build real-time manufacturing dashboards without custom code.
Shop Floor AI: Dead on Arrival Without This
Industrial AI doesn't fail because of bad models, it fails from bad architecture. Learn why signals need context to work.
MQTT vs CoAP: Measure Your Constraints or Pick Wrong
Learn whether MQTT or CoAP fits your IoT deployment based on device constraints, power budgets, and network architecture.