Cloud architecture
Designs matched to your traffic, data gravity and compliance constraints.
Cloud & Infrastructure
The layer everything else stands on.
Cloud architecture, migration, DevOps and platform engineering — designed for predictable cost, fast recovery and deployments that are boring on purpose.
The problem
Infrastructure usually degrades by accumulation: environments that drift, deployments only one person can run, monitoring that alerts on everything except the thing that broke, and a bill that grows faster than usage without anyone able to explain why.
How we approach it
Everything is defined as code, so environments are reproducible and drift is visible. Deployment is designed to be frequent and reversible. Monitoring starts from the user-visible symptom and works down. Cost is modelled at architecture time and attributed per service, because the expensive decisions are made long before the invoice arrives.
Capabilities
What sits inside this practice.
Cloud migration
Staged moves with rollback, dual-run and measured cutover.
DevOps & CI/CD
Pipelines that make releases routine and reversible.
Scalable backend systems
Queues, caching and data layers sized for real load patterns.
Security & compliance
Identity, secrets, network policy and audit trails as standard.
Monitoring & observability
Metrics, traces and logs tied to the outcomes that matter.
Technology
Tools we reach for.
Selected per project against your constraints — never a fixed stack applied by default.
AWSGoogle CloudAzureKubernetesTerraformDockerGitHub ActionsOpenTelemetryRedisPostgres
Use cases
Where it applies.
Migration
Moving off legacy hosting without a service interruption.
Platform engineering
Golden paths so product teams ship without waiting on ops.
Cost optimisation
Finding and fixing the architectural causes of spend.
Reliability work
SLOs, incident process and recovery paths that are actually tested.
Process
How delivery runs.
01 DiscoverGoals, constraints, current systems
02 ArchitectDesign and written trade-offs
03 BuildIterative delivery and testing
04 ScaleLaunch, measure, evolve
Case studies
Selected work.
Structure is content-ready. Real projects appear here once approved for publication.
[PROJECT TITLE]
[CHALLENGE] · [SOLUTION] · [OUTCOME]
[PROJECT TITLE]
[CHALLENGE] · [SOLUTION] · [OUTCOME]
FAQ
Questions we get asked.
The one your constraints point to. We compare against your data residency, existing skills and cost profile in writing.
In most cases, yes, using dual-run and staged cutover. We say so plainly when a case is an exception.
We can run the platform or set your team up to, including runbooks and on-call structure.
Configuration wins land in weeks; architectural savings follow the roadmap we agree during assessment.
Ready to scope it properly?
Bring the problem, the constraints and the deadline. We will come back with an architecture and an honest view of effort.