AWS and GCP landing zones, migration from on-premise, and the platform work that makes cloud spend predictable.
Cloud migration goes wrong in two predictable ways. Either everything is lifted and shifted unchanged, and the bill arrives three times larger than the data centre it replaced. Or the landing zone is built without guardrails, and eighteen months later nobody can say which account owns which workload.
We build landing zones first — account structure, network topology, identity, logging, cost allocation and policy guardrails — then migrate workloads into them in waves. The result is infrastructure your team can operate, with spend attributable to the teams that generate it.
If several of these sound familiar, this is the service that addresses them.
The cloud bill grows every month and nobody can attribute it to a team or a product.
A lift-and-shift migration moved the problems to a more expensive place.
Production access is granted by ticket because there is no real identity or role model.
Environments drift, because they were created by hand and never codified.
Disaster recovery is a document nobody has tested.
Regulated workloads need to stay in-country and the current setup cannot prove that they do.
Multi-account structure, network topology, identity federation, centralised logging and policy guardrails, all defined as code.
Application inventory with a disposition per workload — rehost, replatform, refactor, retire — sequenced by risk and dependency.
Terraform modules for every environment, with no click-ops path to production.
Kubernetes (EKS/GKE) with ingress, autoscaling, secrets management and deployment pipelines.
Metrics, logs, traces and actionable alerts, wired before migration rather than after the first incident.
Tagging strategy, budgets, showback per team and a right-sizing pass with a documented saving.
Backup, restore and failover procedures, tested rather than merely written.
We pick from a deliberately boring toolkit. Novelty is a cost you pay in maintenance.
Application inventory, dependency mapping, current-state cost baseline and a migration disposition per workload.
Account structure, network, identity and guardrails built as code — before any workload moves.
Two or three low-risk workloads migrated end to end to prove the pattern and the runbook.
Remaining workloads moved in dependency order, each with a tested rollback.
Right-sizing, reserved capacity planning, cost allocation and platform handover to your team.
Built 12 core custom enterprise systems across 4 business layers.
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Automated daily bank matching across hundreds of corporate accounts.
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