Overview I set up and maintain on-premise infrastructure for organizations that need full control over their data, cannot move to the cloud due to regulatory requirements, or want predictable hosting costs. From bare-metal Linux servers to Docker Swarm clusters running local AI models, I handle the full stack - with monitoring, backup, and disaster recovery built in.
What I Can Do For You Server Setup and Administration Linux server provisioning: Ubuntu, Debian, Rocky Linux - secure baseline, firewall, fail2ban, auditing Docker orchestration: Compose for small deployments, Docker Swarm or Nomad for clusters Reverse proxy: Nginx, Caddy, or Traefik - TLS termination, virtual hosting, rate limiting Backup and disaster recovery: Automated off-site backups, snapshot rotation, restore drills Local AI Deployment LM Studio / Ollama: Deploy open-source LLMs (Llama, Mistral, Qwen) on local hardware GPU acceleration: NVIDIA CUDA setup, container runtime configuration, model quantization API gateways: Expose local models via OpenAI-compatible APIs for your applications to consume Air-gapped environments: Fully offline AI deployment with no external dependencies Infrastructure Management Monitoring: Prometheus + Grafana stack, uptime monitoring, alerting Logging: Centralized logging with Loki or ELK stack VPN: WireGuard or Tailscale for secure remote access CI/CD self-hosted: GitLab Runner or Jenkins on your own hardware Why On-Premise? Data sovereignty: Sensitive data never leaves your network Predictable costs: Fixed hardware costs - no cloud egress surprises Latency: Sub-millisecond access for local AI inference Compliance: Meet GDPR, HIPAA, SOC 2 requirements without cloud dependency Technologies OS: Linux (Ubuntu, Debian, Rocky Linux, Arch) Containers: Docker, Docker Compose, Docker Swarm AI: LM Studio, Ollama, local LLMs Web: Nginx, Caddy, Traefik Monitoring: Prometheus, Grafana, Uptime Kuma Networking: WireGuard, Tailscale, iptables, nftables Backup: Borg, Restic, rsync
