Node-RED and the Rise of Low-Code Industrial Automation

Why Node-RED Is Gaining Attention in Industrial Automation

For decades, industrial automation relied heavily on specialized programming languages and proprietary engineering environments. Today, however, manufacturers are under pressure to deploy connected systems faster while reducing engineering overhead. That shift has accelerated interest in low-code development platforms such as Node-RED.

Originally developed as an event-driven programming tool built on Node.js, Node-RED has evolved into a serious industrial edge application platform. Engineers now use it to bridge operational technology (OT) and information technology (IT), especially in IIoT and smart factory deployments.

Unlike traditional software development, Node-RED allows engineers to visually assemble applications using drag-and-drop nodes. The result is faster deployment, simplified integration, and reduced dependency on advanced programming expertise.

Figure 1. Node-RED has become a widely recognized low-code platform for IIoT and industrial edge computing applications.

Low-Code Development Finds a Home on the Factory Floor

From Ladder Logic to Visual Workflows

Industrial automation has embraced graphical programming for years. PLC ladder logic, function block diagrams, and robot teaching interfaces all reduced programming complexity long before the term “low-code” became popular.

Node-RED extends that philosophy into modern data-centric automation. Instead of focusing only on machine sequencing, engineers can now create workflows that move data between PLCs, HMIs, databases, cloud platforms, and enterprise systems.

This capability has become especially important as manufacturers modernize legacy control systems. Facilities running older PLC infrastructure often combine Node-RED with platforms from Allen-Bradley or Mitsubishi Electric to simplify data collection and cloud connectivity without replacing existing equipment.

A Different Approach to Industrial Software

Traditional industrial software development can require weeks of coding, testing, and debugging. Node-RED changes that process dramatically. Engineers can deploy functional applications within hours using prebuilt communication nodes and dashboards.

Its browser-based interface also lowers deployment barriers. Once installed on an IPC or edge server, the engineering environment becomes accessible through a standard web browser without dedicated workstation software.

Figure 2. Low-code development platforms reduce software complexity while accelerating industrial application deployment.

Technical Advantages Behind Node-RED’s Growth

Built for Data Movement and Connectivity

At its core, Node-RED processes and routes data between devices and software layers. Payloads can include numerical values, JSON structures, Boolean states, or machine events generated by industrial controllers.

The platform supports protocols commonly found in industrial environments, including OPC UA, MQTT, Modbus TCP, HTTP, and WebSocket communication. This broad protocol support allows Node-RED to function as a lightweight middleware layer between factory assets and cloud analytics systems.

Because the platform runs on Node.js, it can operate on compact hardware platforms ranging from Raspberry Pi devices to industrial IPCs and virtual servers.

Edge Computing Without Heavy Infrastructure

Modern IIoT architectures increasingly rely on edge computing to reduce latency and minimize cloud traffic. Node-RED fits naturally into this strategy because it can process machine data locally before forwarding only critical information upstream.

A typical deployment places the edge server inside the control cabinet. The device connects simultaneously to the machine network and the enterprise network, acting as a secure translation layer between OT and IT systems.

For facilities upgrading older automation infrastructure, this approach provides a cost-effective modernization path. Engineers can integrate legacy PLCs, distributed I/O systems, and SCADA platforms without a complete controls redesign.

Figure 3. Compact industrial computers increasingly serve as edge gateways for Node-RED applications in connected factories.

Industrial Edge Devices Are Driving Adoption

Why Raspberry Pi Hardware Matters

One major reason behind Node-RED’s popularity is hardware accessibility. Raspberry Pi devices made industrial experimentation inexpensive, allowing engineers to prototype IIoT applications without enterprise-scale infrastructure costs.

Industrial suppliers later expanded the concept by introducing DIN-rail-compatible IPCs with hardened enclosures, wider operating temperature ranges, and industrial power support.

Once deployed, Node-RED can directly interact with GPIO interfaces, sensors, relays, and industrial communication modules. Engineers can rapidly create machine dashboards, environmental monitoring systems, or lightweight supervisory applications.

Expanding Beyond Prototyping

What started as a maker-community tool now appears inside commercial automation platforms. Industrial vendors increasingly integrate Node-RED into native control ecosystems, recognizing demand for flexible low-code workflows.

Some manufacturers now combine Node-RED with industrial communication products and edge gateways to simplify protocol translation. In distributed automation projects, communication infrastructure from platforms such as industrial networking systems plays an important role in maintaining reliable OT-to-IT data flow.

Figure 4. Node-RED dashboards can combine process visualization, operator controls, and edge analytics inside a single browser-based interface.

Inside the Node-RED Workflow Environment

Flows, Nodes, and Event Processing

Node-RED applications consist of flows built from interconnected nodes. Each node performs a specific task such as filtering data, modifying payloads, delaying actions, or communicating with external devices.

Data flows from left to right through the application. Engineers can visually follow process logic without reading extensive source code, improving troubleshooting and collaboration between controls engineers and IT teams.

The platform also supports JavaScript function nodes for advanced customization. This hybrid approach allows engineers to combine low-code simplicity with full programming flexibility when needed.

A Massive Open Ecosystem

Another major advantage is the open community ecosystem. Thousands of contributed nodes are available for industrial protocols, cloud APIs, databases, and analytics platforms.

Unlike many proprietary industrial software suites, Node-RED avoids expensive runtime licensing. This flexibility makes it attractive for pilot projects, remote monitoring systems, and machine builders developing scalable architectures.

Figure 5. Browser dashboards created with Node-RED can provide operators with lightweight HMI functionality and live machine data.

Where Node-RED Fits in the Future of Automation

Node-RED will not replace PLC programming environments for deterministic machine control. Real-time motion systems, safety applications, and high-speed process control still require traditional industrial controllers.

However, Node-RED fills a growing gap between automation hardware and enterprise software. As factories demand more connectivity, predictive analytics, and cloud integration, low-code edge platforms are becoming strategically important.

The most successful manufacturers over the next decade will likely combine proven control hardware with flexible software layers capable of adapting quickly to operational demands. Node-RED aligns well with that direction because it reduces development friction while preserving integration flexibility.

Its real value is not replacing engineers. Instead, it amplifies engineering productivity by allowing automation teams to focus on system functionality rather than repetitive software infrastructure tasks.

Oliver Grant — Senior Industrial Systems Reporter
Oliver Grant has more than 14 years of experience covering industrial automation, IIoT infrastructure, and edge computing technologies. His background includes automation integration projects involving Siemens, Rockwell Automation, Beckhoff Automation, and Emerson process control systems across manufacturing and energy facilities.