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
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 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
Why Datadog’s Pricing Forces the Self-Hosting Conversation Datadog’s per-host pricing is deliberately structured to feel cheap at two or three nodes and expensive by the time you actually need it. The base infrastructure plan charges per host, per month, and that cost multiplies with every add-on — APM, log management, synthetics — each billed separately. … Read more
The Problem: Home Automation Data Is Scattered and Unactionable The sensor data problem isn’t that you’re not collecting it — Home Assistant’s SQLite recorder captures almost everything by default. The problem is that SQLite starts choking on range queries once your history table grows past a few weeks of dense sensor data. Run EXPLAIN QUERY … Read more
Why Tailscale Becomes the Wrong Tool The Coordination Server Is the Hidden Dependency Tailscale’s WireGuard mesh is elegant, and the client software works well. The problem isn’t the protocol — it’s that the glue holding your mesh together lives on Tailscale’s servers, behind closed-source code you can’t audit or replicate. Every device auth, every key … Read more
The Monitoring Problem No SaaS Tool Solves for You Most SaaS monitoring products are built around the assumption that you’re running fleets of identical cloud VMs serving HTTP traffic. Plug in the agent, get CPU and memory graphs, call it done. That model breaks completely when your stack is an Ollama inference server hammering a … Read more