Architecture and migration.
Map existing dependencies and design the target platform. Plan migration, validation and a rollback or recovery route around the operation.
IT infrastructure engineering and migration
Know the foundations. Strengthen everything above.
Plan a migration, investigate reliability problems or test whether your systems can recover. We bring thirty years of infrastructure experience to the platforms, dependencies and operating decisions your organisation relies on.
Since the 1990s Find the dependency. Then find the fault.
Talk to an engineer Start with a scoped reviewEngineering focus
01Understand dependencies
02Engineer the platform
03Test and operate
Possible applicationManufacturing & steel
Plan recovery of order processing and production-planning applications in the order staff need them. Rehearse the restore steps against an agreed interruption window. Explore this sector.
Where it runs is only one question.
Understand what each application depends on, how it would recover and who operates it. Use those requirements to choose the platform and plan the next change.
Reliability and recovery.
Engineer networking, capacity, observability, backup and recovery. Test recovery plans rather than treating a successful backup as enough.
Automation and cost.
Use repeatable configuration and controlled changes. Understand consumption, capacity and operating cost; make ownership clear.
Availability, recovery objectives and support commitments are designed around your architecture and the service scope we agree.
Moving an application that only runs on an old server? Application modernisation rebuilds it for Azure or AWS while preserving the agreed workflows.
Reference architecture
A resilient hybrid estate, layer by layer.
A reference for cloud and on-premises systems. Design each layer to limit the spread and impact of failure, then test the relevant recovery paths.
Users and devices
Managed devices, with access tied to compliance policies.
- Intune
- Compliance policies
- Update rings
- How it fails
- An unmanaged or out-of-date device reaches company data with a valid sign-in.
- What holds it
- Device enrolment, patching policies and compliance checks that control access to company data.
Identity
Managed identities with clear access policies.
- Entra ID
- Conditional Access
- Active Directory
- How it fails
- Accounts drift apart, leaving stale access trusted long after it is needed.
- What holds it
- Named user and service identities, separate privileged access where needed, and access policies maintained across on-premises and cloud systems.
Network
Segmented, so one compromised device cannot see everything.
- Firewalls
- VLANs
- Secure remote access
- How it fails
- A flat network lets one compromised device see and reach everything.
- What holds it
- Segmented networks and firewalls, so a device can only reach what its role needs, and secure remote access for everything else.
Compute
Clustered on premises, with Azure for failover and extra capacity.
- Hyper-V clusters
- Windows Server
- Azure
- How it fails
- A single host fails and there is nowhere for its workloads to go.
- What holds it
- Clustered hosts sized to lose one and carry on, with Azure available for failover and extra capacity.
Data
High availability where needed, with tested backups across the estate.
- SQL Server
- File services
- Storage
- How it fails
- A database or file share has one copy, and one mistake or failure takes it away.
- What holds it
- High availability where the business case supports it, with backups restored and checked on an agreed schedule.
Recovery
Immutable copies off site and a rehearsed runbook with measured times.
- Immutable backup
- Off-site copies
- DR runbook
- How it fails
- Backups exist, but nobody knows how long a real recovery would take.
- What holds it
- Immutable copies off site, and a rehearsed runbook with measured recovery times.
A closer look
Good questions. Straight answers.
Do you still work on-premises?
Yes. Cloud, hybrid and on-premises designs should be chosen against the actual workload and constraints.
Can you support AI infrastructure?
Model serving, data services, networking, identity and observability are part of the architecture. Evaluate capacity and data paths together.
The first step
Understand the estate before changing it.
Start with the migration, reliability or recovery problem. We agree which workloads to review, map their dependencies and assess the platform against your operating requirements.
What you get. An assessment of the agreed workloads, their dependencies and risks, with practical priorities for migration, recovery or improvement.
Talk to an engineer