Services
Infrastructure treated as a professional practice: hardware, electrical foundations, platforms, websites and services designed so that the workloads on top of them stay predictable, isolated and maintainable over years rather than weeks.
Dell PowerEdge and comparable rack hardware: physical installation, storage configuration, OS deployment, firmware and hardware upgrades, fault troubleshooting and end-to-end lifecycle planning.
Computer labs and teaching spaces: workstation provisioning, classroom technology, standardised user environments, mass deployment, asset management and research infrastructure.
Ubuntu and Debian servers alongside Windows and Windows Server: Active Directory, domain joins, user and group management, permissions, remote SSH administration and routine hardening.
NVIDIA GPU nodes with CUDA toolchains, Docker GPU workloads, local LLM hosting, AI service endpoints, JupyterHub for shared notebooks and general research compute capacity.
Kali tooling, isolated lab networks, malware analysis environments, intrusion detection, monitoring pipelines, packet analysis and controlled testing ranges.
Docker and Compose for reproducible services, Kubernetes for multi-node scheduling, and containerised GPU workloads with sane resource boundaries.
PXE network boot, FOG imaging, MAAS bare-metal provisioning, Bash and Python tooling and DSH fan-out for automated provisioning and fleet-wide administration.
Cisco Meraki managed networking, SSH access paths, VPN, DHCP and DNS services, segmentation concepts for isolating sensitive workloads, server-side network configuration and physical link troubleshooting.
Hands-on support for the physical side of infrastructure: electrical-aware setup, rack and endpoint readiness, patching, labeling and practical physical-layer troubleshooting.
Portfolio and technical website builds, content updates, repository-backed deployment workflows, hosting setup and domain purchasing or configuration guidance.
Architecture
A flow from physical hardware and network up to the workloads that depend on them.
TIER 01
Racks, servers, storage, workstations, switching, segmentation and physical access paths.
TIER 02
Operating systems, drivers, directory services, container runtimes, GPU stacks and imaging.
TIER 03
Orchestration, monitoring, identity, deployment pipelines, backups and internal endpoints.
TIER 04
AI training and inference, security labs, coursework environments and research computing.
hardware/network → platform → services → workloads
Standards