Today's Deep-Dive: Node-RED
Ep. 239

Today's Deep-Dive: Node-RED

Episode description

The Deep Dive podcast explores Node-RED, a low-code programming tool for event-driven applications. Node-RED allows users to automate tasks and manage real-time data without extensive coding knowledge. It uses a visual editor where users drag and drop pre-built blocks called nodes to create flows, making it accessible to people of various backgrounds. Node-RED is versatile, used by home hobbyists for simple tasks like automating lights and by industries for complex systems like managing factory production lines. Built on Node.js, it efficiently handles multiple tasks simultaneously and can be deployed on low-cost hardware or cloud platforms. The tool has a robust community with thousands of pre-built nodes and flows, and active forums for support. Node-RED is an open-source project under the OpenJS Foundation, ensuring its stability and continuous development. The podcast encourages listeners to explore how Node-RED can simplify and automate tasks in their personal or professional lives.

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0:00

Welcome to the Deep Dive, the show that cuts through the noise and hopefully

0:03

delivers the

0:04

insights you need to be truly well informed. Today, we're diving headfirst into a

0:08

world where,

0:08

you know, you don't need to be a coding wizard to make technology bend to your will,

0:13

ever wish you could automate tasks, manage real-time data, or maybe orchestrate

0:18

your

0:18

smart home devices without wrestling with complex lines of code. Well, get ready,

0:22

because we're exploring a fascinating realm of low-code programming that promises

0:26

to let you

0:26

automate your world. But first, a quick word from our supporter, safeserver.de.

0:32

They specialize in

0:33

hosting the very kind of software we're discussing today, and they can truly be a

0:36

partner in your

0:37

digital transformation journey. To learn more and see how they can support you,

0:41

just visit

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www.safeserver.de. Okay, so our mission today is a deep dive into Node-RED. We'll

0:48

unpack exactly

0:49

what it is, uncover why it's so incredibly powerful and accessible, and show how it's

0:54

helping everyone from home hobbyists to, well, major industries that build

0:57

sophisticated event-driven

0:59

applications, all without getting tangled in a complex web of traditional code. And

1:03

joining

1:03

me to navigate these exciting waters is our resident expert guide. Welcome. Glad to

1:08

be here.

1:08

So let's kick things off. Node-ARD. It's often described as low-code programming

1:15

for event-driven

1:16

applications. Now that sounds like a lot to unpack, especially for someone maybe

1:21

new to this space.

1:22

What's the key takeaway? What does low-code really mean in practice? Right. Well,

1:27

low-code,

1:27

what's truly insightful about it is that it represents a pretty significant shift

1:32

in who

1:33

can build software. It means you're creating applications with minimal traditional

1:38

coding.

1:39

You're not necessarily typing out hundreds of lines of Python or Java. The real

1:43

game changer

1:44

isn't just less typing. It's sort of the democratization of creation itself. You

1:48

know,

1:48

it allows domain experts, people who deeply understand their processes, like

1:52

managing a

1:53

factory line or organizing a smart home, to directly build their own solutions.

1:57

Instead of

1:57

just describing it to a programmer. Exactly. They don't have to translate their

2:00

needs. It makes

2:01

technology accessible to users of, well, virtually any background. Okay, that makes

2:05

sense. And the

2:06

event-driven part. Ah, right. So, event-driven applications. These aren't programs

2:12

that just

2:12

run linearly from start to finish. Instead, they react. They respond to specific

2:17

actions or events

2:18

as they happen. Think about a sensor detecting a temperature change, maybe a tweak

2:24

going live,

2:25

or new data arriving from a machine. The real power here is their reactive

2:29

efficiency. They're

2:30

not constantly pulling like anything new, anything new. They just wait for the

2:33

trigger. Precisely.

2:35

They instantly respond when an event occurs. And that's absolutely critical for

2:39

real-time

2:39

automation and for devices with limited resources. Got it. So how does Node-RED

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actually do this?

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What's the core concept? Well, the core concept that brings this all together in

2:50

Node-RED is that

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you collect, transform, and visualize real-time data. And you do this by literally

2:55

building

2:56

flows. And this is where the visual programming comes in. It's key. Instead of

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writing lines of

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text code, you're working in a graphical editor, kind of like a drawing program.

3:04

You drag and drop

3:05

these pre-built blocks of functionality. They're called nodes. Yeah, nodes. And you

3:10

connect these

3:10

nodes together with lines, or wires, as they call them, much like you design a flow

3:15

chart,

3:15

or maybe assemble something with digital Legos. Legos. I like that analogy. Yeah,

3:20

it fits. The

3:21

goal is really to make it the easiest possible way to manage data flows and

3:25

automate responses.

3:26

That visual approach is what makes it so intuitive, so simple to grasp for many

3:31

people.

3:31

So if I'm getting this right, it's not just about less coding. It's about changing

3:35

how you

3:35

think about building the software itself. You're visually designing the process,

3:40

almost like drawing

3:40

it out. That sounds incredibly, well, less intimidating for anyone who's ever

3:44

stared at

3:45

a blank code editor. That's exactly it. But does this visual low code approach ever

3:50

limit what you

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can actually build? Or is it genuinely powerful enough for really complex tasks?

3:56

That's a great

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question. And yeah, it's a common misconception that low code somehow means less

4:01

powerful.

4:01

But what's fascinating here is how broadly Notarady has been adopted, precisely

4:07

because

4:07

it doesn't really limit complexity in most cases. Its versatility is one of its

4:13

greatest strengths.

4:14

We see it used across an incredibly wide spectrum. Everything from home enthusiasts

4:18

just,

4:19

you know, tinkering with smart devices. Or automating their lights or something.

4:22

Yeah,

4:22

exactly. Automating lights with motion sensors, maybe linking the heating to their

4:27

calendar,

4:27

simple stuff like that. But then it scales up seamlessly to really sophisticated

4:33

industrial

4:33

control systems. Managing data from thousands of sensors on a production line,

4:38

automating quality

4:39

control, building real-time dashboards for operators. Wow, that's quite a range. It

4:43

really is.

4:44

It bridges that gap from the, you know, simple personal project to the really

4:48

complex enterprise

4:49

solution quite effectively. What makes it capable of handling both ends of that

4:53

spectrum? A big part

4:54

of it is the technical foundation. It's built on Node.js. Okay, Node.js. I've heard

4:59

of that. Right.

5:00

It's a runtime environment that's exceptionally good at handling many tasks

5:04

simultaneously

5:05

without getting bogged down. It has this event-driven, non-blocking model. Which is

5:10

perfect for that event-driven thing we talked about. Exactly. Essential for real-time

5:14

data

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processing. And this efficiency translates into incredibly flexible deployment

5:19

options.

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You can run Node-RED on really low-cost hardware, like a Raspberry Pi. People often

5:26

call this

5:26

running at the edge of the network. Meaning right there where the data is happening?

5:30

Precisely. Processing data right where it's generated, maybe on a machine on a

5:34

factory

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floor without sending everything up to the cloud first. Okay. Or you can deploy it

5:39

in the cloud.

5:40

There's robust support for major platforms like Amazon Web Services, Microsoft

5:44

Azure,

5:45

and there are even specialized managed services like FlowFuse, which focus

5:49

specifically on making

5:50

Node-RED deployment and management even easier for businesses. This versatility

5:54

truly means

5:55

you can use it wherever your data lives, whatever your scale. What I find truly

5:59

remarkable building

6:00

on that is just how versatile it seems. It sounds like whether you want to automate

6:06

your lights at

6:06

home or manage these critical industrial processes, Node-RED gives you a unified

6:11

set of tools.

6:13

It almost acts like a universal translator, doesn't it? Letting different hardware

6:16

or software data

6:17

streams finally speak the same language. That's a really good way to put it, a

6:20

universal translator

6:21

for automation. Can you think of any particularly surprising or, I don't know,

6:25

unique applications

6:27

you've heard about where Node-RED really blew someone's expectations? Oh,

6:31

absolutely. One that

6:33

always sticks with me involves agriculture, smart farming. Okay. Yeah, a farmer

6:38

used Node-RED running

6:39

on a simple Raspberry Pi to monitor the precise moisture levels in his soil across

6:44

these huge

6:45

fields. He set up flows so when the data from a sensor hit a certain threshold, it

6:49

automatically

6:50

triggered the irrigation system just for that specific section. Targeted watering.

6:55

Exactly.

6:55

Optimizing water usage, improving crop yield, and the amazing part, he built it

7:00

himself visually

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without needing to hire a specialized developer. It's that kind of practical, real-world

7:07

problem

7:08

solving enabled by its accessibility that consistently surprises me. That's a

7:12

fantastic

7:13

example. It really highlights how it empowers individuals to solve their own

7:17

specific problems.

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So if someone listening right now is intrigued by this, maybe thinking about that

7:22

farmer,

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they want to dip their toes in. How easy is it to actually get started? And

7:28

importantly,

7:29

what kind of support system is there if they run into questions? Because that can

7:33

be daunting.

7:34

Right, the support is key. Well, getting started is surprisingly straightforward.

7:38

Again, precisely

7:39

because of its low code nature. You can typically have the visual editor up and

7:43

running in your web

7:44

browser with just a few simple commands in your terminal. Often it's just a quick

7:47

copy paste from

7:48

the official documentation. So you don't need to be a Linux guru or anything? Not

7:51

really, no. The

7:52

Quick Start Guide is designed to get you going fast. You install it, run one

7:55

command, and open

7:56

a web page. Boom, you're looking at the editor. Okay, that sounds manageable. And

8:00

the support.

8:00

Beyond the easy setup, NodeRReady boasts a truly robust and very active community,

8:08

which is incredibly valuable, especially for beginners. Get this. The community has

8:13

contributed

8:14

over 5,000 nodes and flows. 5,000? Wow. Yeah. Think of those as thousands of pre-built

8:21

functions and

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example automation blueprints that you can just import, maybe tweak a little, and

8:26

use. It saves

8:27

you a massive amount of time and effort. You almost never have to completely

8:30

reinvent the wheel.

8:31

That's huge. It is. And if you do have a snag or just need ideas, there's a highly

8:36

active NodeRRED

8:37

forum. There's a Slack team, places where you can ask questions and get direct help

8:41

from other users,

8:42

even the core developers sometimes. And just as a signal of its health, if you look

8:46

at its GitHub

8:47

repository, that's where the code lives. It has like tens of thousands of users

8:51

actively starring

8:52

the project. Showing their support. Exactly. And thousands forking it to contribute

8:56

or customize.

8:57

It's a sure sign of a vibrant, actively developed, and widely trusted tool. That's

9:01

incredibly

9:02

reassuring. Especially for someone just stepping into automation or visual

9:06

programming. Knowing

9:08

there's such a vast library of pre-built bits and pieces and a massive supportive

9:13

community,

9:14

means you're genuinely not on your own when you dive in. Absolutely. Makes

9:17

experimenting and

9:18

learning feel much less daunting. Like having a whole team of helpful mentors just

9:24

kind of

9:24

available. Yeah, that's a good way to think about it. And you know, if we connect

9:28

this to the bigger

9:29

picture, Node-Write isn't just some piece of software you download. It's a truly

9:33

collaborative,

9:34

open source project. And this is a really crucial aspect of why it's so dynamic and

9:39

trustworthy.

9:39

It's actually a project of the OpenJS Foundation. OpenJS. What's that? It's a

9:44

neutral,

9:44

nonprofit organization. They're dedicated to supporting important JavaScript

9:48

projects like

9:49

Node-RED, Node.js itself, jQuery, ensuring their long-term health and development

9:54

independent of

9:55

any single company. Okay, so it has a stable home. A very stable vendor neutral

9:59

home. And the project

10:01

is actively maintained by its original creators, Nick O'Leary and Dave Conway Jones,

10:05

along with

10:06

many other core contributors like Ben Hartle and Steve McLaughlin. This distributed,

10:11

collaborative

10:12

nature means there's a broad base of expertise driving its evolution forward. And

10:16

it's open source,

10:17

you said? Completely open source. It's released under the Apache 2.0 license, which

10:21

is very

10:22

permissive, very business friendly. It means anyone can use it, inspect its code

10:26

for security

10:27

or functionality, modify it, and even contribute back to its development without

10:31

significant legal

10:33

hurdles. This fosters immense trust and, frankly, rapid innovation because so many

10:38

eyes are on it.

10:39

That makes sense. And it's worth noting, too, it has received significant industry

10:43

backing over

10:44

the years from past sponsors like IBM and Hitachi. That speaks volumes about its

10:49

reliability and,

10:50

you know, its readiness for enterprise use. Definitely, and its credibility.

10:53

For sure. And just to round that out, to ensure a healthy and welcoming environment

10:57

for everyone

10:57

involved, the project adheres to the Contributor Covenant version 1.4, I think. It

11:04

basically sets

11:04

a code of conduct for respectful community interaction. It really is a pretty good

11:09

model

11:09

for a successful open source initiative. So this isn't some closed off proprietary

11:14

tool hidden behind corporate walls. It's genuinely a collaborative effort built on

11:19

principles of openness and community. That transparency and collective ownership

11:23

must

11:23

be a huge factor in its rapid evolution and the trust it's clearly garnered. It's,

11:28

well,

11:28

comforting to know something so powerful is also so community driven.

11:32

I think that's a huge part of its success story, yeah.

11:34

Okay. So what does this all boil down to for you, our listener? We've explored Notoridi

11:40

is this

11:40

powerful, surprisingly accessible tool for automating tasks, managing data. Whether

11:45

you're

11:45

a home hobbyist looking to streamline your smart devices or maybe a professional

11:49

aiming

11:50

to optimize industrial processes, you're really getting a shortcut, aren't you? A

11:54

shortcut to

11:54

understanding and using a really dynamic and increasingly important field in

11:58

technology.

11:58

Yeah, I think that's right. And this raises maybe an important point. Notoridi

12:02

essentially

12:03

democratizes the ability to create quite sophisticated event-driven applications.

12:08

It fundamentally shifts the focus. It moves away from needing to write complex line-by-line

12:13

code

12:14

towards understanding the logic of your desired flow.

12:17

The process itself.

12:18

Exactly. It becomes about problem solving through visual construction.

12:21

It enables almost anyone with a bit of learning to become a creator of automated

12:26

processes rather

12:27

than just being a user of someone else's. So maybe consider this. Think about your

12:31

own life or work.

12:32

With Notoridi's low-code approach, what seemingly complex task or data flow could

12:37

you now imagine

12:37

visualizing and automating simply by connecting a few of these digital nodes

12:41

together?

12:42

What process could you finally tame?

12:44

That's a great thought to leave people with. What could you build?

12:46

And that wraps up our deep dive into Node-RED.

12:50

We really hope this exploration has given you a clear, easy entry point

12:53

into understanding this incredible low-code programming tool.

12:57

It maybe sparked some exciting ideas for how you might use it in your own world.

13:00

Thank you so much for joining us for this deep dive.

13:03

If you're looking to explore more about digital transformation and need robust

13:06

hosting solutions,

13:08

perhaps for running Node-RED itself, remember our supporter.

13:11

safeserver.de is there to help.

13:13

Until next time, keep exploring, keep questioning, and keep learning.

13:13

Until next time, keep exploring, keep questioning, and keep learning.