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Engineering Log · Last ~3 Months

Case Studies From The Field.

Real infrastructure, real production systems, real incidents. Six write-ups covering self-hosted infra, cloud fleet operations, full-stack app delivery, an open-source enterprise networking build, and what it actually looks like to engineer this with an AI coding agent in the loop.

Details are generalized to protect client and employer confidentiality — the engineering patterns, architecture decisions, and numbers are real.

14+
Nodes Under Management
6
Cloud Fleet, Mesh-VPN Tied
1
Business App, Built From Scratch
INFRASTRUCTURE

Home Lab & Self-Hosted Infrastructure

Proxmox virtualization, a full Netdata/Prometheus/Loki/Grafana observability stack, DNS-layer filtering, a self-hosted credential vault, and the capacity-management discipline that keeps 14+ nodes healthy.

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CLOUD & IAC

Cloud Fleet & Infrastructure-as-Code

A 6-node cloud fleet tied together over a mesh VPN, configured with Ansible, patched on a scheduled maintenance window — and what happened, and what changed, the day two nodes disappeared without warning.

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FULL-STACK

Building a Production Business App

A FastAPI + PostgreSQL invoicing and finance system, built module by module: multi-currency handling, generated PDFs, payments and bank reconciliation, VAT compliance reporting — shipped and still running.

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NETWORK & SECURITY

Network Engineering & Hardening

Rolling out VPN access to a distributed workforce, choosing a DNS filtering strategy that actually holds up under scrutiny, and the investigate-before-you-fix discipline behind a real hardening pass.

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FLAGSHIP

Open-Source Enterprise Networking

A full corporate network stack — OPNsense firewall, WireGuard VPN mesh, and an inline Suricata IDS running 7,700+ rules — replacing a legacy commercial UTM with zero per-seat licensing, plus open-source directory services as a capability on request.

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AI-ASSISTED ENGINEERING

What AI Can Actually Do Here

Every case study on this page — including the hardening pass that secured this very site — was built working alongside an AI coding agent. Not a chatbot answering questions: a system that reads logs, forms a hypothesis, backs up before it touches anything live, and is honest about what it doesn't know. This is what that actually looks like, judgment calls included.

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