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#017

Summary In this episode of the Embedded Frontier Podcast, Jacob Beningo dives into modernizing embedded software architecture—the second step in his seven-step framework for building faster, smarter firmware. He explores why most legacy architectures turn into “giant balls of mud,” how tightly coupling software to hardware holds teams back, and the four architectural dimensions you must consider: characteristics, principles, decisions, and structure. Jacob also shares controversial yet practical perspectives, including his philosophy that “there is no hardware, only data,” and why data—not hardware—should dictate design. From architectural decision records (ADRs) to adopting a top-down approach with the 4C model, this episode provides actionable insights for designing scalable, maintainable, and future-ready embedded systems. Takeaways • Avoid spaghetti code: Emergent architectures rarely scale; intentional design upfront is critical. • Define architecture characteristics: Select 3–7 key qualities (e.g., modularity, scalability, robustness) to guide decisions. • Establish design principles: Adopt philosophies like “data dictates design” and “there is no hardware, only data.” • Capture architectural decisions: Use ADRs to record trade-offs and prevent wasted rework. • Think top-down: Use the 4C model (Context → Containers → Components → Classes) instead of bottom-up hardware-first design. • Abstract hardware: Decouple hardware details from application logic for scalability and reusability. • Prepare for change: Modern IoT and ML-driven systems demand flexible, forward-looking architectures. Chapters 00:00 – Introduction – Recap of the seven-step modernization framework and today’s focus on architecture.02:20 – The Problem with Emergent Architectures – Why most embedded systems become “giant balls of mud.”04:50 – Four Dimensions of Modern Architecture – Characteristics, principles, decisions, and structure.07:15 – Defining Characteristics – Selecting 3–7 traits (e.g., modularity, scalability, security) to guide design.09:30 – Design Principles – “Data dictates design” and “There is no hardware, only data.”12:05 – Capturing Architectural Decisions – Using ADRs to avoid wasted rework and team misalignment.16:50 – Structural Choices – Bare metal vs. RTOS vs. Linux, and trade-offs in complex IoT/AI systems.21:45 – Top-Down Thinking – Using the 4C model to design reusable, scalable systems.27:00 – The Payoff – How abstraction and ADRs enable DevOps, TDD, and long-term maintainability.30:00 – What’s Next – Preview of upcoming DevOps discussion with Brendan Slade from NXP. Keywords embedded systems, software architecture, modularity, scalability, ADR, design principles, data dictates design, hardware abstraction, IoT, DevOps, test-driven development, modern firmware, top-down design, containers, 4C model