Preparing your experience
Refactoring everything is how cloud programmes run out of money. We sequence workloads by return, move the easy ones fast, and reserve engineering effort for the systems that deserve it.
Cloud migrations are judged by two numbers: how long the programme took and what the monthly invoice looks like a year later. A migration that finishes on time and doubles run cost has failed, whatever the slide deck says.
We start with a workload-level business case — not a datacentre-level one — and sequence moves by payback. Some workloads are rehosted in weeks. Some are replatformed onto managed services. Some are rewritten. A few should stay exactly where they are.
Every landing zone we build ships with cost allocation, guardrails and policy-as-code from day one, because retrofitting governance onto a live cloud estate is significantly harder than starting with it.
Ranges observed across comparable engagements. Yours will be modelled against your own baseline.
What changes for the organisation, stated as outcomes rather than features.
Multi-account structure, network segmentation, identity federation and policy-as-code delivered as reusable Terraform.
Tagging standards, showback by business unit, commitment planning and anomaly alerts before the first workload lands.
Multi-AZ and multi-region patterns validated by game days, so the recovery objective is measured rather than asserted.
Residency, encryption and key-custody designs that satisfy central-bank and government requirements in each jurisdiction.
A governed foundation that stays governable as teams multiply.
What actually runs in the estate.
Shared capability every team consumes.
The guardrails that keep autonomy safe.
Accounts, networks and identity.
The platforms and standards we build and support in this practice.
A sequence designed so each stage produces something usable, not just a document.
Dependency mapping and workload-level costing that produces a sequenced plan with payback per wave.
Accounts, networking, identity, guardrails and pipelines built as code and handed over with documentation.
A representative set of workloads migrated end to end to prove the runbooks and calibrate the estimates.
Factory-model execution with parallel streams, automated cutover testing and rollback for every workload.
Right-sizing, commitment purchasing, architecture reviews and continuous cost engineering.
Dependency mapping and workload-level costing that produces a sequenced plan with payback per wave.
Accounts, networking, identity, guardrails and pipelines built as code and handed over with documentation.
A representative set of workloads migrated end to end to prove the runbooks and calibrate the estimates.
Factory-model execution with parallel streams, automated cutover testing and rollback for every workload.
Right-sizing, commitment purchasing, architecture reviews and continuous cost engineering.
A sovereign cloud landing zone and shared service layer allowed forty citizen services to be delivered on common identity, payment and notification components.
0Citizen journeys on shared components
Read the case studyPlatforms your engineers do not have to fight
Kubernetes platforms, DevOps pipelines, observability and zero-trust networking — the foundation everything else is deployed onto.
Explore practiceRun and improve, not just keep the lights on
24×7 application, database and cloud operations with security monitoring — measured on outcomes rather than ticket volume.
Explore practiceDeep Oracle engineering, from the database up
Oracle Database, Exadata, Fusion, APEX and OCI — performance engineering, upgrades and licence-aware architecture from specialists.
Explore practiceA conversation with the practice lead, not an account manager. Bring the constraints — that is the useful part.