Architecture and migration.
Investigate existing dependencies and design the target platform. Plan migration, validation and rollback around the business.
Infrastructure engineering
Know the foundations.Strengthen everything above.
Architecture, migration and reliability engineering for the platforms your organisation depends on. Thirty years of infrastructure experience, applied to the work in front of us.
Explore the capabilityEngineering focus
01Understand dependencies
02Engineer the platform
03Test and operate
Where it runs is only one question.
How does it recover? What does it depend on? Who owns it? How will it change? Design the platform around the applications, users and operational requirements.
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.
A possible workflow
Move a business-critical workload in stages, with a tested recovery route and defined service ownership.
Availability, recovery objectives and support commitments are designed around your architecture and the service scope we agree.
Reference architecture
A resilient hybrid estate, layer by layer.
The foundations we design for. Each layer is built so that a failure stays contained.
Users and devices
Managed, compliant and patched before they touch company data.
- Intune
- Compliance policies
- Update rings
Identity
One identity, checked at every sign-in.
- Entra ID
- Conditional Access
- Active Directory
Network
Segmented, so one compromised device cannot see everything.
- Firewalls
- VLANs
- Secure remote access
Compute
Clustered on premises, with Azure for failover and extra capacity.
- Hyper-V clusters
- Windows Server
- Azure
Data
Highly available where it pays, and backed up everywhere.
- SQL Server
- File services
- Storage
Recovery
Immutable copies off site and a rehearsed runbook with measured times.
- Immutable backup
- Off-site copies
- DR runbook
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.
Keep exploring