Ollama on Shadowfish

Spaceballs: The Log Triage — How I Nearly Melted an Intel NUC with Vector, n8n, and Naive AI Dreams

Mon, 03 Aug 2026 11:18:00 +0200

In Part 1 of our Lazy SRE Automation series, we painted a glorious, utopian vision: a world where Vector listens to container logs, n8n orchestrates workflows, Ollama writes code fixes, and you sleep soundly while Pull Requests open themselves.

It sounded majestic on paper.

Then reality hit. And by “reality,” I mean my innocent little Intel NUC screaming in acoustic agony as its cooling fan spun at 140,000 RPM while melting into a pool of radioactive silicon.

Welcome to Spaceballs: The Log Triage. Here is everything I learned after accidentally turning my homelab into a self-inflicted Distributed Denial of Service attack.

Lazy SRE Automation: How n8n and Ollama Write Their Own Pull Requests When Servers Crash

Sat, 01 Aug 2026 20:20:00 +0200

Getting woken up by an alert at 2:15 AM because a container crashed on a port conflict is a rite of passage every DevOps engineer despises.

Standard engineering response: Wake up, open your laptop in the dark, SSH into the host, parse docker logs, realize a memory limit or port mapping is misconfigured, edit the docker-compose.yml, commit the fix, and go back to sleep angry.

Lazy homelab engineering response: Build an automated n8n + Vector + Ollama AI pipeline that catches the crash log, diagnoses the root cause, writes the code patch, creates a Git branch, opens a Pull Request, and pings your phone on Discord so you can click “Merge” without leaving bed.

Here is how I built the SRE Log Triage & Auto-PR Workflow using n8n—the premier open-source workflow automation platform.

Death to TL;DR: Fighting Unnecessary Tech Abbreviations with n8n, Ollama & Discord

Sat, 01 Aug 2026 14:15:00 +0200

Reading modern technical documentation has officially turned into deciphering WWII Enigma machine code.

You open a blog post expecting a simple explanation of a system, and within three paragraphs you are hit with:

“Our CI/CD pipeline deploys an eBPF probe into a K8s pod using ACME TLS certs stored in 1P, monitored via PROM and logged to LOKI (TL;DR: it works).”

Whatever happened to using actual words? When did software engineering decide that typing six extra letters was a medical emergency?

I genuinely detest unnecessary tech abbreviations. And because I am a homelab engineer, I didn’t just complain about it—I built an automated n8n + Ollama AI Acronym Police bot (building on my n8n multi-LLM orchestration setup) to catch abbreviations red-handed and force them to explain themselves on Discord.

Inside Night-Tower: The Over-Engineered Homelab Powered by Fighter Jets and AI Chaos

Sat, 01 Aug 2026 13:30:00 +0200

Most normal human beings buy a single-bay Synology NAS, plug it into their router, copy their family photos over, and call it a day.

Then there are homelab enthusiasts.

We look at a simple home network and think: “You know what this single-bedroom apartment really needs? A three-node high-availability baremetal Proxmox hypervisor cluster, enterprise-grade OPNsense firewalling, automated GitOps CI/CD pipelines, local AI LLM orchestration, and 1Password-vaulted Ansible playbooks.”

Welcome to Night-Tower—the homelab where enterprise-grade architecture meets absurd levels of over-engineering.

Battle of the Micro-LLMs: Can a 2GB GPU Save You From CPU Agony?

Tue, 28 Jul 2026 10:45:00 +0200

We benchmarked Qwen 2.5, Gemma 2, and Ministral 3 across two homelab machines. Spoiler: Gemma 2 took 140 seconds to load on CPU, giving us time to rethink life choices.