DevOps

One person. 310+ infrastructure objects across 6 sites. 3 firewalls, 13 Kubernetes nodes, self-hosted everything. When an alert fires at 3am, there’s no team to call. There never is. So I built three AI subsystems that handle the detective work — and wait for a thumbs-up before touching anything. GitHub: papadopouloskyriakos/agentic-chatops Usage What Makes This Different Self-Improving Prompts — now with A/B trials The system evaluates its own performance and auto-patches its instructions. Every session is scored by an LLM-as-a-Judge on 5 quality dimensions — local gemma3:12b via Ollama by default (flipped to local-first on 2026-04-19 after a 60-query calibration against Haiku showed 85% agreement), with Haiku retained for calibration re-runs and flagged sessions re-scored by Opus. ...

Everything in the homelab — network devices, VMs, Kubernetes workloads, Docker services, backups — is managed through GitLab CI/CD, Atlantis, and Argo CD. Nothing gets configured via SSH anymore. What It Covers Platform vs. application split — Atlantis/OpenTofu handles the infrastructure layer (nodes, networking, storage), Argo CD handles application workloads. Both triggered by merge requests, both with auto-sync. Kubernetes — 7-node HA cluster (v1.34.2) with Cilium CNI replacing kube-proxy via eBPF. BGP peering with the Cisco ASA for LoadBalancer services. Dual storage: NFS for shared volumes, Synology iSCSI CSI for block storage. ...