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In the last 2 installments (Part 1 & Part 2), we discussed the basics of IoT and an example of how the components can be connected and used to provide basic automation and alerting. These seemingly simple steps can build up to provide very advanced controls of all aspects of the physical world. The challenge can become managing situations that were not expected.

If you’re a current user of Agile Requirements Designer (ARD), you are most likely using ARD to design your functional tests. But did you know that you can use ARD to create API tests that can be executed with your test automation framework? In this blog, I’ll share five real use cases for creating API tests with ARD. These examples come directly from our customers, and illustrate how our powerful model-based approach can scale your API testing.

François, Chris, and I started Interrupt 2.5 years ago because we wanted a repository of great embedded firmware content, which didn’t exist. Looking back at all the posts that our community contributors have published, we think we’ve made a respectable attempt at this goal. Our goals for Interrupt were always more ambitious than just a blog with quality content. We wanted Interrupt to become a hub for everything related to embedded firmware.

MobX is a scalable library developed to ease the process of state management in frontend applications. In this tutorial, you will learn how to manage the state of your Flutter applications using MobX, and then set up a continuous integration/continuous deployment (CI/CD) pipeline for your application using CircleCI. You can find the sample project developed for this tutorial in this GitHub repository.

Slowly but surely, HTTP/2 is becoming the favored protocol for transporting data files between clients and servers. While HTTP/1 used to be the only way of loading web applications, it’s now lagging behind, especially on the UX front. Since 2015, HTTP/2 APIs have taken the lead with lightning-fast server responses. In particular, they’re responsible for state changes and server responses without the need for browser reloads.

2 November 2021: Canonical published the first Ubuntu images optimised for the next generation of Intel IoT platforms, which address the unique requirements of the intelligent edge across multiple industry verticals. Both companies are dedicated to enabling on Ubuntu the Intel IoT platforms’ specific features such as real-time performance, manageability, security, and functional safety, as well as allowing users to take advantage of their improved CPU and graphics performance.

In the first part, I outlined some of the terms associated with the delivery of IoT. Next, let’s look at how this gets complex. You will need to read the state of each sensor (through their appropriate API and through their appropriate vendor-supplied hub), create logic to determine what actions must be taken when certain conditions are met, and then deliver these as a workflow to each responder, and confirm through data collected from sensors that the requested change was implemented.

Here are the articles, videos, and tools that we’ve been excited about this October. We hope you enjoy these links, and we look forward to hearing what you’ve been reading in the comments or on the Interrupt Slack.