DevOps in Embedded? Not What You Think (But It's Changing)

chris — Mon, 12 May 2025 06:19:34 +0000

When we talk about DevOps, most people immediately think of cloud-native development:

Microservices, APIs, containerized deployments, CI/CD pipelines, production monitoring, dashboards, logs, alerts — all owned by the same team that writes the code.

In that world, Dev and Ops are tightly coupled.

But what about embedded software?

We also hear a lot about CI/CD and DevOps in embedded development — but if you’ve ever worked in this field, you probably know: it’s a very different reality.

Let me walk you through how it works for many embedded teams today — and where it’s starting to shift.

The Embedded Dev Reality

In embedded, developers typically:

Work on firmware locally, testing on demo hardware at their desks.
Push their code to SCM.
Ensure the CI/CD pipelines go green.
Tag releases, write changelogs, and prepare documentation.

Then, separate teams step in:

A CI/CD team maintains the pipelines, manages connected hardware nodes, and keeps the infrastructure running.
A Release team ensures the firmware binaries get integrated into systems like SAP or Teamcenter, where factory tooling can pick them up and flash them into devices on the production line.

Once the device is in the customer’s hands?

The software is running, but there is no operations team like in cloud services.

No one is scaling services, monitoring uptime, or responding to incidents live.

So, can we really talk about DevOps in embedded?

For many teams: Not really.

What we often call “DevOps” in embedded is more about:

CI/CD automation.
Infrastructure maintenance.
Pipeline engineering.
Managing test devices or Kubernetes runners.

But Here's the Twist: Some Embedded Teams Do Real DevOps

Recently, I learned that some embedded teams have crossed the boundary into true DevOps territory.

How?

These teams:

Use Over-the-Air (OTA) updates to continuously improve devices in the field.
Monitor log data streamed from connected devices.
Build dashboards to understand behavior, detect bugs, and track performance.
Instrument new logging points in firmware when they need better diagnostics.
Own both development and operations — reacting to what’s happening in the real world.

This is real DevOps:

Build it. Ship it. Monitor it. Fix it. Improve it. Repeat.

And it's exciting to see embedded development adopt these modern practices — even if the infrastructure and tooling look quite different from the cloud world.

Closing Thoughts

The embedded world is changing.

More devices are connected. More updates happen in the field. More feedback flows back to the developers.

We’re not all the way there yet — but DevOps is starting to happen in embedded.

It just looks different.

How does your team handle this?

I’d love to hear your perspective on CI/CD, OTA, and DevOps in embedded systems.

Why Rust’s Ecosystem is a Game-Changer for Developers

chris — Sat, 10 May 2025 10:15:46 +0000

Introduction

In the programming world, Rust has garnered significant attention for its focus on memory safety, performance, and concurrency. However, there’s one often-overlooked aspect that sets Rust apart from C++—its ecosystem. While many discussions focus on the language’s inherent features, I want to highlight why Rust’s ecosystem is a major advantage over C++’s fragmented tooling.

This post will delve into the simplicity, efficiency, and developer productivity that Rust’s ecosystem offers compared to C++’s traditional, tool-heavy workflow.

1. Unified Tooling with Cargo vs C++’s Fragmented Tooling

C++ developers are used to managing multiple tools for different aspects of the development process:
• CMake for building projects
• Make/Ninja for handling build systems
• Conan or vcpkg for dependency management
• Clang-Tidy for static analysis
• GoogleTest for testing

This fragmentation requires developers to learn different configurations, tools, and workflows, often leading to inefficiencies and confusion when switching between projects or teams.

On the other hand, Rust provides a unified, all-in-one solution through Cargo. Cargo handles:
• Dependency management: Automatically resolving and locking versions
• Building projects: Seamless compilation with cargo build
• Testing: Built-in unit tests with cargo test
• Documentation: Automatically generating docs with cargo doc
• Benchmarking: Support for benchmarking via cargo bench

This simplicity means Rust developers can focus on writing code, not managing multiple tools and configurations.

C++ Toolchain vs Rust + Cargo

Compiler & Build System

Feature	C++ (GCC/Clang, CMake, Make/Ninja)	Rust (Cargo)
Compiler	GCC / Clang	rustc (LLVM-based)
Build System	CMake + Make/Ninja (external)	Built-in via Cargo
Ease of Use	Moderate to complex	Very easy
Incremental Build	Supported via Ninja	Built-in and efficient
Cross Compilation	Toolchain files required	Built-in support (`--target`)

Static Analysis & Linting

Feature	C++	Rust
Linters	Clang-Tidy, cppcheck (external)	`cargo clippy` (built-in)
Warnings as Errors	Via compiler flags (e.g., `-Werror`)	Built-in via Clippy and compiler
Code Formatting	`clang-format`	`rustfmt` (built-in)

Dependency Management

Feature	C++	Rust
Package Manager	Conan, vcpkg (external)	Cargo (integrated)
Dependency Resolution	Manual, versioning complex	Automatic, lockfile-based
Binary Caching	Supported via Conan	Shared cache built-in

Memory Safety & Debugging

Feature	C++	Rust
Memory Safety	Manual, error-prone	Safe by design
Runtime Debug Tools	Valgrind, ASan, UBSan	Miri, compiler-enforced checks
Thread Safety	Manual	Enforced via ownership model

Tooling & Ecosystem

Feature	C++	Rust
Documentation	Doxygen, custom	`cargo doc` (built-in)
Testing	Manual (e.g., GoogleTest)	Built-in
Benchmarking	Google Benchmark	Criterion.rs
Code Coverage	gcov, lcov (manual setup)	`cargo tarpaulin`

IDE Support

Feature	C++	Rust
VS Code Support	Good with Clangd, CMake Tools	Excellent with `rust-analyzer`
IntelliSense	Needs configuration	Automatic via `rust-analyzer`
Debugging	GDB/LLDB	GDB/LLDB

Summary

Category	C++ Toolchain	Rust + Cargo
Complexity	High (fragmented tooling)	Low (unified toolchain)
Safety	Manual effort	Enforced by design
Performance	Excellent, mature compilers	Comparable, improving
Ecosystem Integration	Fragmented	Cohesive (Cargo-centric)
Learning Curve	Steep	Moderate

2. Seamless Dependency Management

In C++, managing dependencies is notoriously complex. Often, developers have to manually set up dependencies, configure them for different platforms, and ensure proper versions across the entire project. This can lead to version conflicts, incompatibilities, or outright dependency hell.

Rust takes a radically different approach with Cargo, which automates dependency resolution. With Cargo, all dependencies are managed through a simple configuration file (Cargo.toml), and a lockfile (Cargo.lock) ensures that the exact same versions of dependencies are used across all environments.

This automated process reduces the risk of conflicts and makes it far easier to collaborate on projects, regardless of the platform or the developer’s experience level.

3. Built-in Code Formatting and Linting: Rust’s Focus on Code Quality

C++ developers often rely on external tools such as clang-format and clang-tidy for code formatting and linting, each requiring separate configuration and setup. These tools are powerful, but they also introduce friction when starting a new project or when working in a team.

Rust, by contrast, has rustfmt and cargo clippy, which are tightly integrated into the development workflow. These tools automatically ensure that code is consistently formatted and adheres to best practices, significantly reducing the chances of errors and improving code quality.

Moreover, Clippy offers additional linting to catch common mistakes, and both tools are invoked with just a single command:

cargo fmt cargo clippy

4. Effortless Testing and Benchmarking with Cargo

Testing is a critical part of any development process, and C++ developers often rely on external libraries like GoogleTest for unit testing, and Google Benchmark for performance testing. Setting up and configuring these tools can be time-consuming and error-prone, especially in large projects.

In Rust, Cargo has built-in support for testing with cargo test, and benchmarking with cargo bench. This ensures that testing is always just a single command away and integrates seamlessly into the development cycle. Since testing and benchmarking are tightly coupled with Cargo, there’s no need for additional setup or dependency management—everything works out of the box.

5. Integrated Documentation

C++ developers often use Doxygen or similar tools to generate documentation. While these tools are powerful, they require additional setup and maintenance, and they might not always be in sync with the code.

Rust has a built-in tool for generating documentation directly from the code comments, which can be easily generated using:

cargo doc

The integration of documentation generation into the build system ensures that your documentation is always up-to-date, making it easy to maintain.

6. The Power of the Rust Community and Ecosystem

While the C++ ecosystem is vast and offers a wealth of libraries, tools, and resources, it is fragmented. Managing multiple build systems, package managers, and external libraries can be time-consuming and error-prone.

In contrast, Rust’s ecosystem is cohesive, centered around Cargo and crates.io—Rust’s official package registry. Whether you’re building web servers with Rocket, working with databases, or performing cryptography tasks, you’ll find libraries available on crates.io with consistent versioning and excellent documentation. The tight integration between Cargo and crates.io ensures that your dependencies are easy to manage, update, and integrate.

7. Cross-Platform Development Made Easy

C++ can target a wide range of platforms, but cross-platform development often requires managing multiple toolchains and handling platform-specific quirks.

Rust, by design, offers first-class cross-platform support. With just a few flags (--target), you can easily build for various platforms, from WebAssembly to embedded systems. Rust’s toolchain is unified across all platforms, meaning developers don’t have to worry about platform-specific configurations.

Conclusion: Why Rust’s Ecosystem is a Major Advantage

While C++ remains a powerful and widely-used language, the fragmented ecosystem requires developers to manage multiple tools, setups, and configurations. By contrast, Rust’s ecosystem, built around Cargo, offers a more unified, streamlined development experience. From dependency management to testing, linting, and documentation generation, everything you need to write, build, and maintain software is integrated into a single tool, making development more efficient and enjoyable.

If you’re looking for a language that provides not only memory safety and performance but also a modern ecosystem that simplifies development, Rust is the clear choice.

DEV Community: chris