Cloud · infrastructure · DevOps · security
We don't sell cloud. We engineer infrastructure.
Public cloud, private infrastructure, dedicated servers, hybrid and on-premise — designed around performance, security, scalability, cost, compliance and where your data is allowed to live.
- Users
- Edge
- Network
- Compute
- Data
- Backup
- Public cloud
- Private infrastructure
- Hybrid
- Multi-cloud
- Dedicated
- On-premise
You don't need a cloud. You need the right infrastructure.
Provider marketing answers this question one way. Your workload, your data, your budget and your regulator answer it several other ways.
- Some businesses belong in AWS
- Some belong in Azure
- Some need multiple clouds
- Some need dedicated servers
- Some need infrastructure inside their own office
- Some need data physically inside one jurisdiction
We are not tied to one provider. Sometimes the answer is AWS. Sometimes it is a rack in your office. Right infrastructure beats popular infrastructure.
Which infrastructure fits your business?
Six constraints decide most of this. Move them and watch the answer change — the scoring is deliberately simple so you can argue with it.
Closest fit
Public cloud
AWS, Azure or Google Cloud, using managed services and paying for elasticity.
The default answer when scale matters more than control and nothing forces the data to sit somewhere specific.
- Users
- CDN / edge
- Load balancer
- Managed compute
- Managed database
- Backup
Private infrastructure
Dedicated servers and private networking in a facility you or we control.
Hybrid
Sensitive workloads held privately, elastic workloads in public cloud.
This is a starting point for a conversation, not something to procure against. Real selection depends on the actual workload — and where jurisdiction or regulation is involved, on legal advice we are not qualified to give. Talk it through
From a single server to global architecture.
Six shapes cover almost every real deployment. Pick one to see how the traffic actually flows through it.
Public cloud
AWS, Azure or Google Cloud, using managed services and paying for elasticity.
- Users
- CDN / edge
- Load balancer
- Managed compute
- Managed database
- Backup
The default answer when scale matters more than control and nothing forces the data to sit somewhere specific.
Hyperscale
AWS · Microsoft Azure · Google Cloud · Alibaba Cloud · Oracle Cloud
Edge and global
Akamai · Cloudflare
VPS and dedicated
DigitalOcean · OVHcloud · dedicated and bare-metal providers
Private
Your own rack, a controlled site, or a colocation facility
Your infrastructure should not be limited by one provider — and we are not tied to one.
Move without breaking your business.
The hard part is never the copy. It is the dependency nobody documented, discovered at cutover.
- Discover
- Assess
- Map dependencies
- Design target
- Migrate data
- Test
- Cutover
- Optimise
Routes we run
- On-premise → cloud
- Cloud → different cloud
- Legacy server → modern infrastructure
- Single region → multi-region
- Old architecture → modern architecture
What that includes
- Cloud readiness assessment
- Infrastructure audit
- Application dependency mapping
- Server migration
- Database migration
- Storage migration
- DNS migration
- Cloud-to-cloud migration
- Legacy modernisation
- Minimal-downtime planning
- Post-migration optimisation
Your data doesn't always belong in someone else's cloud.
For suitable environments we can design and deploy the physical stack — rack layout, networking, servers, storage, backup, firewall and secure internal connectivity — inside your own office or a controlled site.
Server rack
- FirewallPerimeter and segmentation
- Core switchInternal network
- Server 01Application workloads
- Server 02Redundancy
- StoragePrimary data
- BackupOn-site copy
- UPSPower continuity
Illustrative layout. A real elevation depends on the site, the power available and the workload.
What that involves
- Dedicated servers
- Private server environments
- Office server rooms
- Rack design and deployment
- Network architecture
- Firewall deployment
- Storage systems
- Backup systems
- Virtualisation
- Private cloud
- Internal VPN
- Network segmentation
- Monitoring
- Physical infrastructure planning
Physical control adds a layer of control over data location, network boundaries and infrastructure jurisdiction.
It does not, on its own, make an environment secure or legally compliant. Both still have to be designed, operated and — where regulation applies — assessed against the law that actually governs you.
Where your data lives matters.
Different countries have different laws about data, privacy, access and retention. Once residency is a requirement, infrastructure location stops being an operational detail and becomes part of the architecture.
- User data
- Region
- Storage
- Backup
- Disaster recovery
- Data residency
- Data sovereignty
- Regulatory requirements
- Government systems
- Financial systems
- Healthcare systems
- Enterprise internal systems
- Sensitive customer data
- Regional deployments
- Country-specific infrastructure
- Controlled physical infrastructure
Infrastructure location can become part of your security and compliance strategy.
We design architecture to meet stated residency requirements. We do not determine what the law requires of you — that belongs with your legal and compliance advisers, and the architecture should be mapped to their conclusions rather than to ours.
Infrastructure should ship code too.
- Commit
- Build
- Test
- Deploy
- Observe
- Roll back if needed
Platform engineering
Infrastructure that ships code instead of waiting on someone to SSH into a box.
- Infrastructure as Code
- CI/CD
- GitOps
- Environment management
- Secrets management
- Configuration management
- Blue/green deployment
- Canary deployment
- Automated rollback
- Infrastructure testing
Containers and Kubernetes
From a Dockerfile to a cluster somebody can actually operate at 3am.
- Docker architecture
- Cluster setup
- Cluster security
- Ingress
- Service discovery
- Autoscaling
- Persistent storage
- Observability
- Kubernetes migration
- Cluster optimisation
Serverless and managed
Use servers when you need them, and remove them when you do not.
- Serverless applications
- Event-driven architecture
- Functions
- Managed databases
- Managed queues
- Object storage
- API gateways
- Background jobs
- Auto-scaling architectures
- Terraform
- Ansible
- Docker
- Kubernetes
- Helm
- GitHub Actions
- GitLab CI/CD
- Jenkins
- Argo CD
- Azure DevOps
Assume something will break. Design for it.
Backup is not disaster recovery. One is a copy of your data; the other is a tested plan for running without the thing that just died.
- Primary
- Replica
- Backup
- Disaster recovery
System status
Sample view- APIHealthy
- DatabaseHealthy
- CacheHealthy
- QueueHealthy
- StorageHealthy
- CPU41%
- Memory62%
- Latency84ms
- Error rate0.08%
Illustrative sample data showing what an operations view contains. These are not measurements of any system.
Recovery
- Automated backups
- Database backups
- Cross-region backups
- Off-site backups
- Immutable backups
- Failover infrastructure
- Recovery testing
- Business continuity
- Backup monitoring
Observability
- Infrastructure monitoring
- Application monitoring
- Database monitoring
- Log management
- Metrics
- Tracing
- Alerting
- Uptime monitoring
- Capacity monitoring
Cloud cost should be engineered
Bills grow because architecture grows without anyone owning the shape of it. We audit usage and redesign the workloads worth redesigning — with no headline percentage attached, because the honest number depends entirely on what you are running.
- Cloud cost audits
- Resource right-sizing
- Unused resource cleanup
- Storage optimisation
- Compute optimisation
- Reserved capacity analysis
- Architecture optimisation
- Budgets and alerts
- Cost allocation
- FinOps practices
Start small. Architect for what comes next.
- 01
Startup
Simple, secure, cost-efficient. Nothing you have to operate at 3am.
- 02
Growing
Deployment automation, monitoring and reliability worth relying on.
- 03
Scale-up
Load balancing, autoscaling, queues, caching, observability.
- 04
Enterprise
Hybrid, governance, security, disaster recovery, multi-region.
- 05
Global
Multi-region, edge, multi-cloud, jurisdiction-aware infrastructure.
“Our application is slow.”
Performance architecture, caching, CDN, database work.
“The cloud bill keeps growing.”
Cost audit, right-sizing, architecture optimisation.
“We need data inside a specific country.”
Jurisdiction-aware architecture and regional deployment.
“We don't want everything in public cloud.”
Private or hybrid infrastructure with secure connectivity.
“We have old servers.”
Assessment, modernisation and a migration plan.
“We need 24/7 availability.”
High availability, redundancy, monitoring and disaster recovery.
“Deployments need manual server work.”
CI/CD, infrastructure as code, automated rollback.
“We want infrastructure in our office.”
Rack design, networking, servers, storage and backup.
Architecture first. Deployment second.
- 01
Discover
Workloads, users, data and what the business actually needs.
- 02
Assess
Current infrastructure, dependencies, risks and bottlenecks.
- 03
Architect
The target design, before anyone opens a provider console.
- 04
Select
Cloud, private, hybrid or dedicated — decided, not assumed.
- 05
Build
Provision infrastructure and networking as code.
- 06
Secure
Access, network, encryption and security controls applied.
- 07
Automate
CI/CD and infrastructure automation so releases stop being events.
- 08
Test
Performance, reliability, security and recovery actually validated.
- 09
Deploy
Production workloads moved, with a rollback that has been tried.
- 10
Operate
Monitor, maintain and keep optimising as the workload changes.
Cloud architecture and security are not separate jobs
IAM design, network segmentation, encryption, secrets, logging and configuration hardening belong in the architecture, not in a review afterwards.
- Identity
- Network
- Application
- Data
- Infrastructure
- Monitoring
Where should your system live?
Cloud, dedicated servers, private infrastructure, hybrid or on-premise. Tell us what you run, who uses it, what the data is and what the rules are — and we will design the infrastructure around that.
- What you run
- Who uses it
- What the data is
- What the rules are
- What it costs today
