Release management in embedded software often ends up being an afterthought. I’ve definitely been there myself - juggling a million priorities until, under a tight deadline, I just generated a build on my local machine and shipped it to production. Definitely not ideal, but sometimes the pressure to deliver leads you to cut corners.
After weeks (or even months) of development, shipping a release can feel fantastic. At the same time, there’s this nagging anxiety in the back of your mind: “Dear God, I hope this works!” Realistically, that feeling may never completely disappear (it never does, to be honest) - but there are strategies that can help you ship with greater confidence.
Here are a few strategies I’ve found especially helpful over the years:
A consistent versioning system (e.g., MAJOR.MINOR.PATCH) not only signals the nature of the changes but also helps keep track of what’s deployed in the field.
Always produce Debug, Release, and Test builds. And don’t forget to generate ELF, list, map, or other files that can be invaluable for later debugging.
GitHub Actions or GitLab CI can automate builds, run tests, and maintain a record of every release candidate. This reduces the chance of human error creeping into your process.
This extra identifier makes troubleshooting much easier when you’re comparing logs or debugging multiple versions in the field. Combined with semantic versioning, you will have fine-grained traceability. For example v2.3.4.1234567980 (where 1234567980 is the build number). You could leverage your pipeline ID environment variables in Github or Gitlab to create build numbers. This way, all your builds will be unique.
Even brief notes summarizing changes—new features, bug fixes, known issues—add clarity, improve traceability, and help stakeholders quickly understand each update.
It’s tempting to cut corners for “just a test build,” but adopting a release mindset for every build fosters consistency and discipline.
Automated tests—particularly hardware-in-the-loop (HIL) for embedded systems—catch problems early and free up time for deeper testing or validation.
A structured branching model keeps features, hotfixes, and releases organized. When you can quickly isolate and fix issues, it reduces the stress of last-minute scrambles.
From commit messages with Commitizen to auto-generated release notes, automation cuts down on repetitive tasks and human errors, saving your energy for higher-level decision-making.
While it might often seem overwhelming to put all this into motion, the key is to start small and build slowly, one thing at a time.
No matter how well you prepare, that slight twinge of “Is it really going to work?” may never fully vanish - but having these processes in place drastically improves your chances of a smooth rollout. If you have any favorite release management tips or stories, feel free to share them in the comments!
In Part 2, I’ll take a deeper dive into each of these actionable steps—complete with detailed examples, possible scripts, and additional best practices you can adopt right away. Stay tuned for more insights on streamlined release management.