ericwoo_kr BLUF On my 32 GB Mac mini (Apple M2 Pro), qwen3-coder:30b — a 30B Mixture-of-Experts model with roughly 3B active parameters — hit 43.3 tok/s generation speed, well ahead of the dense qwen2.5-coder:32b at 6.6 tok/s and qwen2.5-coder:14b at 15.1 tok/s. If raw generation throughput is your priority on constrained hardware, the MoE architecture makes … Read more
The short version: On a Mac mini (Apple M2 Pro, 32 GB), the fastest model I tested was also the biggest — Qwen3-Coder 30B, a Mixture-of-Experts model with only ~3B active parameters, ran at 42.8 tokens/sec, beating a plain 8B model. Total parameter count barely predicts speed on this hardware; active parameters do. And the much-hyped … Read more
The Bill That Forces the Decision The moment that forces the AWS-vs-homelab decision usually isn’t a planning meeting — it’s a billing alert at the end of month three. A single t3.xlarge running continuously costs roughly $120/month in compute alone, but that’s the floor, not the ceiling. Stack a 100GB gp3 EBS volume (~$8), a … Read more
The Problem With Sending Your Traffic Data Somewhere Else GA4’s data sampling kicks in at surprisingly low traffic levels — and the threshold isn’t based on what would be statistically useful for you, it’s based on what’s computationally cheap for Google. A small e-commerce site running a conversion funnel report over a 90-day window will … Read more
Why Self-Hosted Operators Stop Trusting Google Analytics GA4’s event model is the first thing that breaks trust. The old Universal Analytics had one job: tell you how many people read a page. GA4 replaced that with a flexible event schema that’s genuinely powerful for e-commerce funnels — and genuinely annoying if you just want a … Read more
The Monitoring Gap That Bites Self-Hosters The alert that actually matters almost never fires. Instead, you find out a service is down because someone — or something — can’t reach it and tells you directly. Your “monitoring” turns out to be a Grafana dashboard you check when you remember to, and a vague sense that … Read more
The Real Problem: You’re Flying Blind or Paying Google to Watch You GA4’s event model wasn’t designed for people who want to understand their data — it was designed for people who want to feed Google’s ad graph. The sampling kicks in the moment your traffic exceeds the free tier thresholds, which means the numbers … Read more
The Problem: Flying Blind on Your Own Hardware The failure mode that actually bites self-hosted operators isn’t a dramatic crash with error messages everywhere — it’s a silent service exit at 2am that nobody notices until the automation pipeline produces zero output at 9am. A container stops responding, a cron job silently skips, a disk … Read more
Why Sentry’s Hosted Version Becomes a Problem at Scale The free tier cap isn’t an inconvenience — it’s a trap. A mid-traffic side project running into a bad deploy can exhaust Sentry’s hosted event quota within the first hour of the incident. That’s the exact window where you need error visibility most, and instead you’re … Read more
The Problem: Flying Blind on Low-Power Hardware The failure mode nobody warns you about with Raspberry Pi clusters: the service dies, you SSH in twenty minutes later, and dmesg shows the CPU was thermally throttling for two hours before the crash. No alert fired. Nothing logged the temperature climb. You were flying completely blind while … Read more