Course Overview
This data-focused one-day course teaches you how to implement effective metrics and observability for embedded systems development. You’ll learn to measure what matters in embedded DevOps, from build times and test coverage to field reliability and team velocity. Master the art of creating actionable dashboards that drive continuous improvement in hardware-software development cycles.
“You can’t improve what you can’t measure” takes on special meaning in embedded systems, where traditional web metrics don’t apply. This course addresses embedded-specific challenges: measuring performance on resource-constrained devices, implementing telemetry without compromising power budgets, tracking quality across hardware revisions, and creating meaningful KPIs that reflect the realities of hardware-software integration. You’ll learn to build observability into your products and processes, enabling data-driven decisions throughout the embedded lifecycle.
Learning Objectives
- Define KPIs that matter for embedded development teams
- Implement metrics for hardware-software integration quality
- Design telemetry systems for resource-constrained devices
- Build dashboards that drive actionable improvements
- Measure development velocity with hardware dependencies
- Track field reliability and performance metrics
- Create observability strategies for embedded systems
Topics Covered
- Embedded KPIs - Metrics that matter for hardware-software teams
- Development Metrics - Build times, test coverage, and velocity
- Quality Metrics - Defects, code analysis, and technical debt
- Field Telemetry - Designing diagnostics for deployed devices
- Performance Monitoring - Resource usage and timing analysis
- Dashboard Design - Visualizations that drive action
- Observability Patterns - Monitoring constrained devices
- Continuous Improvement - Using data to optimize processes
What You Get
- Practical metrics framework for embedded development
- KPI templates specific to hardware-software projects
- Dashboard examples and visualization tools
- Telemetry implementation patterns
- Real-world case studies from embedded teams