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Monitoring CPU performance and thermal status is essential when managing distributed IoT infrastructure, and this detailed guide from RemoteIoT explains exactly how to monitor Raspberry Pi CPU and GPU metrics efficiently. It walks users through practical command-line tools, system utilities, and remote monitoring strategies that allow developers, engineers, and administrators to track device health in real time. Whether you operate a single board or an entire network of IoT devices, understanding temperature fluctuations, processing load, and system throttling helps prevent crashes, improve stability, and extend hardware lifespan. The article is especially useful for those deploying automation systems, edge computing nodes, or sensor clusters where reliable device performance is mission-critical.