Embedded DevOps and HIL: Automated Testing for the Physical World

The web and cloud worlds have had fully automated testing for a decade. But in the embedded world, testing often still means an engineer sitting at a lab bench with an oscilloscope, a JTAG debugger, and a spreadsheet.

This manual process is slow, error-prone, and it simply doesn't scale. In 2026, the complexity of firmware is increasing exponentially—you can't "hand-test" a modern autonomous system.

The Problem: The "Feedback Gap"

In traditional embedded development, there is a massive gap between a developer pushing code and that code being tested on real hardware. This "Feedback Gap" results in:

Regressions: A small change in one module breaks an unrelated function, but it isn’t caught until the next manual test cycle (weeks later).
Wasted Talent: Highly paid senior engineers spend 40% of their time running manual test scripts instead of writing new features.
Fear of Change: Developers become afraid to refactor or optimize code because they don’t have a safety net of tests to catch their mistakes.

The Solution: Hardware-in-the-Loop (HIL) Pipelines

Hardware-in-the-Loop (HIL) testing is the only way to bridge the gap. It involves connecting your real hardware to a custom-built test rig that can "simulate" the world for your device.

At MNP Systems, we design and build custom HIL pipelines using GitLab CI/CD and Python. Here is how we do it.

1. The HIL Runner

We deploy local GitLab runners (sometimes using a Raspberry Pi or a dedicated industrial PC) that are physically connected to your target hardware (the Device Under Test, or DUT).

2. Signal Stimulation & Measurement

Using programmable power supplies, DAQs, and logic analyzers, we can "inject" signals into your hardware and "measure" the outputs. For a robotics client, we built a HIL rig that "feeds" fake Lidar and IMU data into the robot’s ROS2 nodes, allowing us to test navigation algorithms in thousands of virtual scenarios—on real hardware.

3. Automated Test Suites (pytest)

We use industry-standard Python tools like pytest to write our test cases. These tests send commands to the DUT over Serial, CAN, or Ethernet, and then verify the device’s state. If a test fails, the developer gets an alert in their IDE within minutes of pushing their code.

The ROI of Embedded DevOps

Building a custom HIL pipeline is an upfront investment, but the returns are immediate.

Shipping Confidence: You know exactly which version of your firmware is stable.
Faster Development: Shorter feedback loops mean developers fix bugs while the code is still fresh in their minds.
Audit Readiness: Every build generates a complete test report—essential for safety-critical certification (like CBTC or DO-178C).

Let MNP Systems Build Your Safety Net

Most embedded teams want automated testing but don't have the time or the specific "DevOps for Hardware" expertise to build it themselves.

MNP Systems specializes in the "hard part" of DevOps. We bridge the gap between your hardware and your GitLab/GitHub pipelines. If you're ready to stop manual testing and start shipping with confidence, let's build your HIL strategy together.