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Monitoring processor temperature and workload is one of the most important maintenance tasks for
embedded systems, and this resource shows how to monitor IoT devices’ CPU performance using practical Raspberry Pi examples.
It guides readers through simple yet powerful commands that reveal live
system information, enabling quick diagnostics and performance optimization. Understanding these metrics helps
users detect anomalies, avoid overheating, and fine-tune applications for
maximum efficiency. Whether you manage a home automation setup or a large-scale IoT deployment, implementing proper monitoring ensures your devices remain responsive, reliable, and capable of handling continuous processing demands.