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FRED is a cloud hosted Node-RED service, designed to streamline the development of IoT applications. From prototype to production deployment, FRED makes each step as easy as possible, allowing you to focus on the solution, not the tools and platform.
- Products and Services
FRED – a rapid IoT application tool: STS builds and hosts a...
- Use-cases
Monitoring on behalf of multiple customers using Node-RED –...
- Resources
FRED – build IoT apps faster; WoTKit – a fully featured IoT...
- Partners
Sense Tecnic Systems is an IoT software company that helps...
- FRED – build IoT apps faster
Building on the Node-RED visual programming tool from the...
- WoTKit – a fully featured IoT platform
Visual Programming Tool: STS has integrated IBM’s Node-RED...
- Products and Services
Building on the Node-RED visual programming tool from the IBM Emerging Technologies group, FRED provides a reliable and easily accessed hosting environment to make your development as smooth as possible. FRED is fast. Get up and running with just a few clicks. No need to configure firewalls and manage IP addresses. FRED makes things easy.
- Fred: A Hosted Data Flow Platform For The IoT Built Using Node-RED
- Introduction
- Node-RED
- Fred Design
- Experience
- Discussion
- Related Work
- Conclusions
- Acknowledgments
- References
ABSTRACT IoT developers need to integrate a variety of protocols, backend components and services; they often need to pre and post-process data as well as react to changes in the real world. Data flow programming tools have been introduced in a number of related domains to provide a flexible, but easy to use visual programming environment for rapid...
Building IoT applications can be a complex task. It requires the integration of a variety of protocols and services, as well as a secure and flexible backend to manage and gather volumes of time series data streams from ’things’ and services. Developers need a means to pre and post-process data and mechanisms to alert and react to changes in both t...
Node-RED is a web-based tool for ‘wiring up’ hardware devices with various protocols and APIs. It provides both a browser-based visual editor and a run time implemented in JavaScript using the Node.js framework. By doing so, it takes advantage of the Node.js built in asynchronous event-driven runtime and native support for JavaScript on both the br...
The Front-End for Node-RED is a service that hosts multiple Node-RED processes, currently one instance for each registered user. The FRED system is essentially a ‘smart’ proxy that creates and manages Node-RED processes, and ‘proxies’ communications between connected clients, devices, and services. Like Node-RED itself, it is implemented using Node...
Currently FRED is deployed on Amazon AWS and is available for free public access. There are approximately 1900 registered users of the system to date with users ranging from those just learning Node-RED to home automation hobbyists through to companies using FRED for industrial IoT applications such as factory automation, precision agriculture, env...
FRED in its current implementation has a few limitations mostly related to the decision to use Node-RED in its current form, which leverages the Node.js runtime. Other limitations are related to hosting node-red as a service, and how FRED proxies interaction to node-red instances by transforming URLs. Today, users can create their own function node...
There are several IoT platforms that include a visual flow-based editor similar to the Node-RED system hosted by FRED. Zhang et al. use an HTML-based visual sensor logic design to create ‘virtual sensors’ that are based on data from physical sensors that are part of a standards-based sensor network. On a smaller scale, L Mainetti et al. built a mas...
To date FRED has proven to be a useful tool for users learning about Node-RED and rapidly prototyping cloud-hosted applications. To make the tool more useful we intend to take advantage of enhancements to Node-RED itself, and adding features to FRED. This includes adding support for version control of flows, adding support for developer collaborati...
Our thanks to Nick O’Leary and Dave Conway-Jones at IBM and others in the Node-RED community for the Node-RED system, nodes and feedback in the development of FRED, and to Ted Huang at Sense Tecnic who helped design and implement FRED.
Ackerman, W.B. 1982. Data Flow Languages. Computer. 15, 2 (Feb. 1982), 15–25. Blackstock, M. and Lea, R. 2012. IoT mashups with the WoTKit. Internet of Things (IOT), 2012 3rd International Conference on the(Wuxi, China, Oct. 2012), 159–166. Blackstock, M. and Lea, R. 2014. Toward a Distributed Data Flow Platform for the Web of Things (Distributed N...
This Video for a beginner of Front end for Node-RED (FRED).FRED is a cloud service that we’ve created that allows you to signup and use Node-RED without the ...
- 10 min
- 373
- NoobMasterCoding
Apr 5, 2023 · This lecture will take a look at the core set of nodes that Node-RED installs by default and then show you the extended set of nodes that the cloud-based Node-RED service – FRED – supports.
Mar 29, 2021 · FRED is a Cloud-hosted Node-RED platform that can be used to provide an easy and reliable solution to process and monitor data from your OPC UA server. This tutorial will be focusing on how to send data from a local OPC UA server to FRED using node-red-contrib-opcua, the STS-MQTT platform, and how we can further process the data using FRED.
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Aug 4, 2023 · Using FRED Service for processing and integration with IoT Cloud. This tutorial will talk you through the 4 main steps: Setting up the Arduino Weather Station Prototype board. Connecting to the Arduino IoT Cloud. Developing the Node-RED flow on FRED. Connecting to the Pushbullet external notification service. The Weather Station Prototype.
