Every embedded product begins with a vision. Whether it's transforming industrial automation, creating the next breakthrough medical device, or launching an innovative consumer product, that journey typically starts with engineers grabbing the most accessible tools available—off-the-shelf hardware.
It's a sensible approach: Raspberry Pis, industrial gateways, and dev kits offer a quick path to proving your concept. Coupled with Ubuntu or a Debian like OS, the ecosystem feels familiar; package managers, containers, and widely available developer tools. For early-stage development, it's perfect.
Then comes what we call the "scale transition"—that critical inflection point where prototype needs to become product. And suddenly, everything changes.
This transition point is where countless promising products falter. The reasons become clear when you understand what happens at each critical moment.
❌ Off-the-shelf solutions hit hard limitations:
While custom approaches introduce crushing complexity:
It's a brutal choice: accept the limitations of off-the-shelf hardware or navigate the treacherous complexity of custom development. For many companies, especially startups that have just proven their MVP, this often becomes the "You made it! Now scale... FML" moment.
The embedded product journey isn't a single path but rather a spectrum with increasing complexity as you move from off-the-shelf to custom solutions. At each stage, different challenges emerge that impact your time-to-market, engineering resources, and long-term maintainability.
As you move toward custom hardware, upstream support becomes increasingly difficult to obtain. Custom peripherals struggle to make it into the mainline Linux kernel, forcing development teams to maintain their own patches and drivers—sometimes for years or decades.
This creates not just an initial development burden, but a long-term maintenance challenge as those modifications need to be preserved across kernel updates and security patches.
The development experience degrades dramatically when moving from off-the-shelf to custom. Engineers accustomed to on-device package management and simple container deployments suddenly face complex cross-compilation workflows, toolchain management, and build system integration.
What once took minutes now takes hours. Simple changes require full system rebuilds. The feedback loop that drives innovation stretches beyond the point of productivity.
Off-the-shelf solutions are easy to acquire but profoundly difficult to provision at scale. Their generalized nature means installation procedures designed for interactive human operation, not automated manufacturing.
Custom hardware solves those provisioning headaches but introduces manufacturing complexity. Each device needs validation testing during production, often requiring custom test fixtures and manufacturing-specific software.
Perhaps most critically, fleet management becomes a nightmare with off-the-shelf solutions. Their non-deterministic nature means each device can (and will) be in a bit drifted state, making reproducibility impossible, leaving you only remote debugging.
Custom solutions provide determinism but often strip out debugging tools to save space, creating a different but equally frustrating maintenance challenge.
This challenging transition creates two distinct patterns we see in the market:
The Greenfield Startup
They begin with off-the-shelf solutions to reach MVP quickly, then hit a wall when trying to scale. The technical debt accumulated during rapid prototyping becomes painfully apparent, often requiring almost complete rewrites to become production-ready.
The Established Product Company
Having experienced this pain before, they start with custom approaches immediately. They accept the higher initial development cost to avoid scaling problems later, but still struggle with developer productivity, expertise dependencies, and maintaining velocity.
Neither approach is ideal. Both involve significant compromises.
What if you could have the development speed of off-the-shelf solutions with the control and reliability of custom approaches? That's precisely what we've built with Avocado OS.
Avocado OS takes a fundamentally different approach to embedded Linux by addressing the challenges across the entire product journey:
Avocado OS provides precompiled binary layer repositories for silicon vendor hardware evaluation kits, common single-board computers, and a variety of SOM and industrial gateway providers. Get up and deploying quickly without having to wait for long build times.
Blend upstream layers with custom configuration extensions to tailor the system to your specific hardware without starting from scratch. Avocado's modular approach lets you leverage existing board support while making precisely the modifications you need.
This reduces the complexity of hardware integration and eliminates the need to maintain complete forks of vendor BSPs, allowing you to focus on your product-specific customizations while benefiting from upstream hardware support.
Development containers that output the correct artifacts for deployment simplify cross-compilation. Engineers can develop with familiar workflows while targeting custom hardware, eliminating the painful context switch between development and deployment.
Clear pathways for creating manufacturing tests and provisioning scripts make scaling production straightforward. Deterministic builds ensure that what works in testing works on the manufacturing line, without surprise states or configurations.
Deterministic, reproducible systems that can be extended at runtime for debugging provide the best of both worlds. You get the reliability of knowing exactly what's running on each device with the flexibility to add debugging tools when needed.
While the technical advantages of Avocado OS are substantial, perhaps the most significant benefit is how it transforms the human experience of embedded development.
As we explored in our previous article on mitigating key person risk, traditional embedded Linux approaches concentrate knowledge in a small number of specialists. Avocado's standardized, well-documented patterns distribute that knowledge across your entire team.
Similarly, the build time improvements we discussed in Beyond the Wait: The Real Cost of Slow Yocto Builds aren't just about saving compute resources—they're about maintaining the creative flow that drives innovation.
By addressing these human factors alongside technical architecture, Avocado OS doesn't just bridge the gap between prototype and production—it transforms the entire embedded development experience.
Every organization is at a different point on this embedded product journey. You might be:
Wherever you are on this spectrum, the challenges we've outlined are likely familiar. The question is: are you ready to approach them differently?
Want to see where Avocado OS fits into your embedded journey? Contact our team to discuss your specific challenges and how our approach can help overcome them.