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700ms to 2ms: What a Cluster Fire Taught Me About Embedding

700ms. That was the number that haunted my Kubernetes cluster, slowly burning it to the ground. Every alert the cluster generated, every log line it processed for AI-driven feedback, triggered an embedding operation.

The AI That Monitored Your Cluster Just Brought It Down

“Why can’t I see the new photos?” That’s how the outage started. Not with a PagerDuty alert or a Grafana dashboard turning red, but with a casual question from my wife.

€200 Claude.ai bill in one week — so I built a cheaper alternative

April 2026 — one week of intensive AI-assisted work, one surprising bill, and one decision to do something about it The Claude.ai usage screen showed €169.

I built an AI to stop the wrong recruiters from wasting my time

April 2026 — on replacing an inbox full of irrelevant opportunities with a system that actually thinks If you’ve worked in IT for more than a few years in Europe, you know the pattern.