Design
Cloud architecture
Landing zones, networking, identity and access, storage and DR - across AWS, Azure, GCP, Oracle and private clouds, including the hybrid cases where half the estate stays where it is.
The Stack Behind Every Engagement
Four disciplines, one accountable team - depth where it actually changes the outcome.
Multi-cloud and hybrid cloud, from architecture through to running it.
AWS, Azure, GCP, Oracle and private clouds - architected, containerized, automated, and operated by the same people who designed them.
Vendor-neutral by practice, not by slogan
The platform
What does multi-cloud actually require?
Anyone can list three logos. Multi-cloud only means something if the same team can design a landing zone on each of them, knows where the identity models differ, and has moved a workload between them under a deadline - which is the difference between a partnership and a preference.
So the work divides in two. There is what gets decided once and lived with - the target architecture, the networking, the identity and access model, the storage and disaster-recovery design. And there is what is done every week afterwards: the automation, the pipelines, the cost control. We staff both, because the first is much harder to change than the second.
Decided once
Target architecture - designed before anything moves, against a cloud readiness evaluation
Networking and IAM - the identity model is the decision you live with longest
Storage and disaster recovery - sized against a baseline of real performance and utilization
Migration strategy - rehost, replatform or refactor, chosen per workload rather than per programme
Done every week
Infrastructure as code - Terraform and Ansible, so the estate is reproducible rather than remembered
CI/CD and autoscaling - introduced with the platform, not retrofitted to it
Monitoring and service mesh - visibility across whichever clouds the workloads ended up in
Cost control - rightsizing, budget tracking and cost alerts under FinOps
What we staff
Disciplines
- Runtime
Containers & orchestration
Containerizing applications with Docker and running them on Kubernetes, OpenShift or managed container services - including moving orchestration between them, ECS to GKE or AKS to OpenShift.
- Automation
DevOps, SRE & IaC
Terraform, Ansible and CI/CD, with the reliability practice that makes the difference between a platform that is automated and one that is merely scripted.
What we build and run on
The stack
Named because workloads of ours are running on them, not because they are on a partner page.
- AWS
- Microsoft Azure
- Google Cloud
- Oracle
- Private cloud
- Kubernetes
- OpenShift
- Docker
- Terraform
- Ansible
- CI/CD
- Service mesh
Cloud Migration
The engagement
When the question is not what we work on but how a move actually runs - four migration paths, a six-phase methodology, and what the practice covers once the cutover is done - that is a page of its own.
The engagementExplore Cloud Migration
Common Questions About Cloud
FAQ
AWS, Microsoft Azure, Google Cloud, Oracle and private clouds, along with Kubernetes, OpenShift, Docker, Terraform and Ansible.
Yes, including estates where part of the workload stays on-premise. Landing zones, networking, identity and disaster recovery are designed for the hybrid case, not just for a single cloud.
Designing a landing zone on each provider, knowing where their identity models differ, and moving workloads between them under a deadline - not just holding partner logos.
Yes. We containerize applications with Docker and run them on Kubernetes, OpenShift or managed container services, including moving orchestration between platforms such as ECS to GKE or AKS to OpenShift.
Through FinOps practice - rightsizing, budget tracking and cost alerts - alongside infrastructure as code, so the estate is reproducible rather than remembered.
Bring us the estate
Whether it is a landing zone to design, a platform to containerise, or three clouds nobody has a single view of - tell us what you are running.