Cloud migration is rarely just "move the servers." It usually means re-architecting for how a cloud platform actually wants to run software: managed services instead of self-hosted equivalents, infrastructure defined as code instead of manually configured, and a cost model that behaves very differently from a fixed-cost data centre if the architecture is not designed for it.
We plan and execute cloud migrations on AWS, Azure and GCP, and build the Kubernetes platform infrastructure underneath applications that need it, distinct from the applied AI and automation work covered on the AI development page.
What We Offer
Migration planning and execution
A migration plan that accounts for data residency requirements, downtime tolerance and dependency order, not just a lift-and-shift of existing servers.
Kubernetes platform engineering
Container orchestration infrastructure built for the specific reliability and scaling requirements of your workload, using Terraform for infrastructure as code.
Multi-cloud and hybrid architecture
Architecture for organisations with genuine data residency or vendor-diversification requirements, rather than defaulting to a single provider.
Observability and monitoring
Monitoring and alerting via Prometheus and Grafana built in from the start, since a cloud migration without observability just moves an existing blind spot to a new environment.
How We Help
The migration risk we spend the most time on is data residency and compliance, particularly for regulated institutions where certain data cannot leave a specific jurisdiction. That constraint shapes the entire architecture, not just where the servers physically sit.
Cost is the other common surprise. Cloud infrastructure that mirrors an on-premise architecture too literally often costs more than expected, because cloud pricing rewards a different design pattern (managed services, autoscaling, and workload-appropriate instance types) than a straight lift-and-shift assumes.
Our Approach
Migration planning starts with data residency, compliance and downtime constraints, since those determine what "migrated" actually has to mean for your organisation before any infrastructure work begins.
Infrastructure is defined as code from the start using Terraform, so the environment is reproducible and auditable rather than manually configured and undocumented.