Hardware

TL;DR I keep four small-form-factor PCs on a bench for testing and repurposing — bought used, need fresh OS images, fresh BIOS settings, and no monitor or keyboard. A PiKVM V4 Plus with a multiport switch gives me eyes and hands on all four boxes over the network. Dell’s cctk command-line tool (Command | Configure) lets me bake BIOS settings — boot order, AHCI mode, Wake-on-LAN, power-on-after-failure — into scripted runs instead of clicking through F2 menus. No monitor, no keyboard, no physical access for weeks at a time. Everything repeatable, everything as code. ...

TL;DR My production homelab runs on Lenovo M920q tinies, and I still think those are the sweet spot. But if I were starting over today with a tight budget, I’d buy a stack of government-surplus Dell OptiPlex 7060 and 7070 desktops instead. They go for around $150 each refurbished — 6-core 8th/9th-gen Intel, an SSD, and Windows 11 already on them — and they make excellent Kubernetes nodes with exactly two cheap upgrades: a bit more RAM and a second network card. ...

TL;DR Purpose-built smart-home wall panels are expensive, locked down, and usually underpowered. A used Microsoft Surface Pro 7 — Core i5 or i7, 16 GB RAM, a sharp 12.3" touchscreen — runs about $150 on the surplus market and makes a fantastic wall-mounted dashboard for Home Assistant, Grafana, or whatever you self-host. It’s a full x86 PC behind a great touchscreen, so it runs a real browser with your real dashboards, not a stripped-down panel app. Here’s the build. ...

TL;DR A homelab feels free until you read the meter. After a year of running seven k3s nodes plus a pair of Mac Studios under whatever workload I felt like throwing at them, I sat down with a Kill-a-Watt and worked out what the cluster actually costs to keep on. Idle is genuinely cheap. Sustained LLM inference is not. The honest break-even against cloud inference is workload-shaped, and for my workloads, on-prem wins — but only because I run them often enough to amortize the wattage. The numbers below are mine; substitute your electricity rate to get yours. ...

TL;DR Consumer mesh Wi-Fi is expensive and locked down. Meanwhile, enterprises retire perfectly good 802.11ac access points by the pallet and dump them on the surplus market for a few dollars each. The Extreme Networks WS-AP3825i — a 3x3 MIMO, dual-band, PoE business AP — runs about $6 used, and it’ll happily run OpenWrt: no vendor controller, no license, no cloud account, just a clean Linux router you own. I bought a pallet of them. Here’s the why, the how, and the one mistake that turns one into a paperweight. ...

TL;DR Everyone reaches for a mini PC or a Pi for a homelab node. The thing nobody tells you: a used business laptop is a server with a built-in UPS, screen, and keyboard bolted on for free. A Dell Latitude 7400 — 8th-gen Core i5, 16 GB RAM, NVMe SSD — runs about $150 used, draws ~10 W with the lid shut, and when the power flickers it doesn’t even notice, because it’s running off its own battery. I run a couple as edge nodes. Here’s the case for it and the five-minute headless setup. ...

TL;DR PiKey is a Raspberry Pi project that spoofs a Logitech K380 Bluetooth keyboard and mouse. It jiggles the mouse to prevent idle detection and auto-types LLM-generated text to simulate human activity. The device appears as a standard Bluetooth HID peripheral – no drivers or software needed on the target machine. Three full implementations exist: Python (primary), Rust (static binary), and C (minimal dependencies). The whole thing was inspired by a Reddit thread on r/overemployed where someone asked for exactly this device. ...

TL;DR I added a Bambu Lab P1S to the homelab and it has become one of the highest-value additions to the setup. Print quality out of the box is near injection-mold level for functional parts. I have already printed ventilated node enclosures, SFP+ cable routing brackets, custom rack shelves, and equipment mounts. Setup took under 30 minutes from unboxing to the first print. The ability to prototype custom hardware solutions in hours instead of waiting days for shipped parts changes how you approach infrastructure problems. ...

TL;DR Prometheus and Grafana both crashed with I/O errors on the same node. Before assuming software, I ran a full hardware audit across all four Proxmox hosts — SMART health, NVMe disk benchmarks (fio), CPU benchmarks (sysbench), memory bandwidth tests, and 10GbE network throughput (iperf3). The result: all hardware is healthy. The I/O errors were Longhorn CSI virtual block device corruption, not physical disk failure. Along the way, I established baseline performance numbers for every subsystem and discovered that custom cooling makes a dramatic difference in thermal performance. ...

TL;DR After researching rack servers, NUCs, and mini PCs, I settled on the Lenovo ThinkCentre M920q as my homelab node of choice. At roughly $100-150 used, each unit packs an Intel 8th-gen Coffee Lake CPU, supports up to 64GB DDR4, has an NVMe slot, and sips around 15-25W. Three of these running Proxmox VE give me a proper HA cluster without the noise, heat, or power bill of traditional rack gear. ...