HwDiag is a Windows hardware testing and diagnostics tool that identifies what is actually installed in a machine — reading SMBIOS firmware tables, the device tree, DXGI and storage controllers rather than trusting the convenient answer — then runs tiered tests across the processor, memory, graphics, storage and network, from a two-minute read-only health check to a ninety-minute stress and soak run with a thermal cut-out. Results are presented on a dashboard as a 0–100 health index per subsystem and overall, derived from tunable per-device-class thresholds in a plain JSON file, with live charts of throughput, temperature and the score itself while a run is in progress. Every verdict comes with a plain-English explanation and a recommended action, every number carries the coverage that earned it, and anything the tool could not measure is reported as not measured rather than as a zero — a drive that was never tested and a drive that failed every test are different claims, and the product never conflates them. It runs from a USB stick with no installation and no .NET runtime, keeping its settings, logs and reports beside the executable so a technician's evidence leaves with them, or installs to Program Files for managed desktops; a headless CLI drives the same engine for imaging lines and RMM integration, and each run exports a branded PDF report alongside JSON and CSV. Feel free to give it a try: https://catalyst.prismsecure.online/admin/HwDiag

For a reasonable time, my home lab was centered around a multi-node Proxmox cluster. On paper, it was the perfect enterprise-grade setup. It gave me high availability, seamless live migrations, and the satisfaction of running a datacenter-like environment right at home. But recently, I took a step back to analyze what I was accutaly using on a daily basis across my Docker containers, LXCs, and VMs. What I discovered was a classic case of over-engineering. My actual daily workflow and core services didn't require the complex orchestration, quorum requirements, or the constant power draw of a multi-node cluster. Most of my essential applications were running perfectly fine inside streamlined Docker containers and a few lightweight LXCs. The overhead of managing the cluster itself—and keeping all nodes synchronized—just didn't justify the utility I was getting from it. So, I made the deliberate choice to tear down the cluster and migrate everything to a simplified, highly efficient standalone setup. It runs everything I actually need with zero fuss, drastically reducing management complexity and saving on the electricity bill. An amazing byproduct of this downsizing is that it completely freed up a powerhouse of a machine. I now have a Lenovo ThinkStation P520 sitting on my desk, entirely dedicated to a pure sandbox and testing environment. Freed from production duties, this beast is equipped with: · Intel Xeon W-2135 processor · 128 GB of RAM · NVIDIA Tesla P100 GPU (perfect for heavy AI, transcoding, or vGPU testing) · 10 Gb Network Interface Card (NIC) Going standalone didn’t mean scaling back my passion for self-hosting; it just meant getting smarter about it. My core services are now lean and stable, and I have a dedicated hardware playground to break things, learn new technologies, and test workloads without ever risking my actual production environment From High Availability to High Efficiency: Why I Decommissioned My Proxmox Cluster for a Standalone Setup

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