Practical articles, in-depth tutorials, and architectural insights on software engineering, AI, and systems.
Learn how to build a robust data integrity monitoring strategy for ZFS storage systems running on high-density home servers.
Learn how to control temperature and monitor energy usage in your home servers using IPMI and automation tools to prevent hardware overheating.
Learn how to run artificial intelligence models directly on local hardware and edge devices, ensuring data privacy, lower latency, and cloud independence.
Learn how to build resilient storage pools using ZFS in your homelab server, exploring redundancy levels, NVMe caching strategies, and the impact of memory deduplication.
Learn how to architect high-performance data collection and parallel processing for sensors in embedded Linux systems using zero-copy message queues to minimize CPU overhead.
Learn how to identify and mitigate electrical noise, interference, and crosstalk issues in high-speed SPI buses using a benchtop logic analyzer.
Learn how to engineer low-power LoRaWAN sensor nodes designed to last for years in the field by balancing reading cycles, radio frequency strategies, and power management.
Learn how to monitor the electrical consumption of your homelab using Modbus current sensors integrated with Home Assistant and Docker for optimal efficiency.
Learn how to architect embedded systems capable of ingesting thousands of samples per second using direct memory access and hardware interrupts to prevent bottlenecks.
Learn how to diagnose printed circuit board faults by capturing analog waveforms and decoding serial protocols like I2C and SPI using modern oscilloscopes.
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