The ability to log data is an important capability in IoT applications. In this tutorial, we learn how to use Node.js to log data by utilizing built-in Node modules. There are certainly excellent logging modules available including pino and Winston (see my Winston tutorial here); however, our goal today is to deepen our knowledge of Node by implementing some simple logging code ourselves in order to become better Node developers. Continue reading
We’re back today to embark on another cool Node.js IoT project. This time, we’re going to interact with the International Space Station (ISS) and track it as it flies through the sky. We’ll eventually work with physical sensors that sit right on our desk, but at this stage we won’t need to buy parts or read resistor color codes in order to retrieve values from the ISS GPS “sensor” in the cloud—or actually 250 miles above the clouds.
While our tutorials are geared toward creating awesome Node.js IoT projects on the Raspberry Pi, any Node.js-capable machine will suffice for today’s tutorial. Other useful articles to help you may include my Beginner’s Guide to Installing Node.js on a Raspberry Pi. You can also see my article on Using Visual Studio Code with a Raspberry Pi if you are in need of a development environment.
Let’s get started and progressively build a solution so we can track the ISS and ultimately monitor its location relative to our location on earth. Continue reading
In today’s article, we’re moving beyond printing numbers in the console and creating some data visualization plots in both the terminal and in a graphical window. We’re also going to have fun! 😀
Today, I’m going to make the inductive leap that you’re making all of this happen using a Raspberry Pi. You may be able to implement these amazing ASCII terminal plots in the Windows world using Bash on Windows, but I have not tested in that context. In addition to Raspbian, these steps will also generally work for other Linux distros as well as OS X. If you are not running Node.js on your Raspberry Pi, please see my Beginner’s Guide to Installing Node.js on a Raspberry Pi. You can also see my article on Using Visual Studio Code with a Raspberry Pi if you are seeking to set up a development environment. For this tutorial, the Leafpad text editor, installed by default with Raspbian, may suffice. Continue reading
We’re back and ready to do some refactoring of our CPU sensor so we can learn about Node.js modules and how to create them. Building small, focused modules is one of the key tenets of the Node.js philosophy as summarized in The Node Way:
Building small, single-purpose modules is at the heart of the Node.js philosophy. Borrowing from Unix, Node.js encourages composing the complex and powerful out of smaller, simpler pieces. This idea trickles down from entire applications (using the best tool for the job vs. a full suite) to how the tools themselves are built.
I took a little hiatus in our series to take my family on a trip to Japan with layovers on each end of the trip in China which included a ride on the Shanghai Maglev Train, the fastest train in the world. We had a fantastic time, and it was a great educational experience for the kids. It is also good to be back home!
We are back again with our Node.js IoT tutorial series and ready to continue developing our “CPU sensor” as CPU loading/utilization is a “sensor” we can measure, record, and ultimately stream to other locations. Today, we will expand our CPU sensor and make it cross platform—and learn more about Node.js in the process. In future tutorials, we will harness the power of Node.js to interact with physical sensors that live outside of our computing environment. Continue reading
We are back with our LTM (Learning through Making) tutorials and ready to hit the ground running and write some real Node.js code! In this series, we will learn about Node.js in the context of creating IoT (Internet of Things) projects. We will build a “CPU Sensor” in this first project since CPU loading/utilization is a “sensor” we can measure, record, and ultimately stream to other locations. In future tutorials, we will harness the power of Node.js to interact with physical sensors that live outside of our computing environment. Continue reading
We’re back with our LTM (Learning through Making) series of Node.js tutorials and we’re gearing up and getting ready to write some code! We’ve learned how to build a Raspberry Pi from the ground up including Node.js, we’ve created a web server in Node without code, and we’ve even managed to get this web server on the Internet as a cool trick.
So how are we going to write Node.js code? There’s nothing that would stop us from simply jumping onto our RasPi and using the Leafpad text editor or even the nano console-based editor to write our code. I propose that we use some more robust tools in the form of an IDE (Integrated Development Environment) to help us along in our coding journey.
It turns out that the RasPi 2 and RasPi 3—in spite of the significant CPU/memory boost they offer over their predecessors—will run most IDEs a bit sluggishly and will be frustrating for any serious Node.js work. I offer here a creative alternative we will use to expedite the software development lifecycle and run the Node.js code natively on the Pi. Continue reading
Visual Studio Code is an amazing, lightweight code editor and works great for Node.js development. I like it so much that I am recommending it for those doing the free Learning through Making (LTM) tutorial series I am creating. My Using Visual Studio Code with a Raspberry Pi (Raspbian) article is closely coupled to this article; however, this article is intended to help you develop with VS Code whether you are using a RasPi or not.
Now, let’s get started with first things first. This article is geared toward awesome, cutting edge people who want to develop with Node.js and leverage the latest ES6 (ES2015) features rather than being content living in yesteryear. 🙂 Am I resonating with you and describing who you are or who you want to be? If so, let’s get started. Continue reading
Welcome back! In a previous tutorial (Beginners Guide to Installing Node.js on a Raspberry Pi), we installed Node.js on a Raspberry Pi. We are now ready to continue our LTM (Learning through Making) tutorial series and build a simple web server without any code. While this tutorial is geared toward the RasPi, the instructions can be easily mapped over to other platforms such as Windows, Linux, and OS X. Let’s get started! Continue reading