Book Image

The Insider's Guide to Arm Cortex-M Development

By : Zachary Lasiuk, Pareena Verma, Jason Andrews
Book Image

The Insider's Guide to Arm Cortex-M Development

By: Zachary Lasiuk, Pareena Verma, Jason Andrews

Overview of this book

Cortex-M has been around since 2004, so why a new book now? With new microcontrollers based on the Cortex-M55 and Cortex-M85 being introduced this year, Cortex-M continues to expand. New software concepts, such as standardized software reuse, have emerged alongside new topics including security and machine learning. Development methodologies have also significantly advanced, with more embedded development taking place in the cloud and increased levels of automation. Due to these advances, a single engineer can no longer understand an entire project and requires new skills to be successful. This book provides a unique view of how to navigate and apply the latest concepts in microcontroller development. The book is split into two parts. First, you’ll be guided through how to select the ideal set of hardware, software, and tools for your specific project. Next, you’ll explore how to implement essential topics for modern embedded developers. Throughout the book, there are examples for you to learn by working with real Cortex-M devices with all software available on GitHub. You will gain experience with the small Cortex-M0+, the powerful Cortex-M55, and more Cortex-M processors. By the end of this book, you’ll be able to practically apply modern Cortex-M software development concepts.
Table of Contents (15 chapters)
Part 1: Get Set Up
Part 2: Sharpen Your Skills


This chapter walked you through the various ways that cloud services can streamline Cortex-M software development. We investigated how to effectively use a virtual machine in the cloud as a remote computer with offerings such as Gitpod and EC2 instances. VS Code was highlighted as the emergent cloud-based IDE, compatible across various virtual machine solutions.

Next, we reviewed how to make environment and code sharing easier and more consistent through dev containers. Docker containers are the most popular technology, and an example of how to build, share, and run a Docker container was presented. We further analyzed how to create multi-architecture containers that can run seamlessly across any architecture and operating system that can run Docker.

Finally, we showcased an example cloud-based development process that still ran and debugged code on a local embedded board. The presented tools and methodologies in this chapter unlocked the advantages of cloud-based development...