The physical layer, engineered as part of the system.
Networks, connectivity, servers, virtualisation and endpoints designed with the same rigour as the cloud they connect to. Automation and AI depend on infrastructure that is reliable, segmented and observable.
Network design
Segmented networks with VLANs, firewall policy, secure Wi-Fi and guest isolation designed around the floorplan and the risk, not the default config.
Connectivity & resilience
SD-WAN, ISP failover, site-to-site and remote access, and hybrid connectivity to Azure or Google Cloud with private endpoints where the workload warrants it.
Servers & virtualisation
On-premises and hybrid server platforms for the workloads that cannot move yet, with a plan for the ones that can.
Endpoints
Standardised devices enrolled in Intune or Google endpoint management, configured from policy, and replaced on a lifecycle instead of when they fail.
Backup & continuity
Immutable backup targets, tested restores and recovery runbooks for the infrastructure layer as well as the cloud.
Monitoring & documentation
Infrastructure that reports on itself, with documentation that is generated from the environment rather than written once and forgotten.
Infrastructure review with an architect.
Network, connectivity, server and endpoint review with a prioritised plan, including what should move to the cloud and what should not.