Google Cloud
Project hierarchy, org policies, VPC design and GKE workloads built to Google’s well-architected patterns.
Capability
Cloud
Elastic where it pays. Disciplined where it counts.
Landing zones, migrations and day-two operations across Google Cloud, AWS and Azure.
The brief
Cloud rewards architecture and punishes drift
A cloud account opened in a hurry becomes an expensive habit. Untagged resources, over-provisioned instances, three people with root and a bill nobody can explain line by line. We build the landing zone first — identity, network boundaries, tagging, guardrails and budget alerts — then move workloads into it in an order that keeps the risky ones last. The result is an environment where cost, access and blast radius are all deliberate choices.
Signals you may recognise
- The monthly invoice climbs faster than usage, and nobody can attribute it to a team.
- Production, staging and someone’s experiment share the same account and permissions.
- A migration was started, then paused, and now half the estate lives in both places.
What we deliver
Cloud services in detail
Each item below is scoped, priced and delivered on its own — take one, or take the set.
Amazon Web Services
Multi-account structures with Control Tower guardrails, so isolation between teams is enforced rather than agreed.
Microsoft Azure
Subscription and management-group design aligned to your Entra tenancy and existing licence entitlements.
Landing zone design
The foundation layer — identity, network segmentation, logging, key management and naming conventions, defined before workload one.
Migration & modernisation
Wave-planned moves with a documented rollback for each application, from straight rehosting to container re-platforming.
FinOps & cost governance
Showback by team, commitment and reservation strategy, anomaly alerting and quarterly right-sizing reviews.
Resilience & recovery
Backup policy, replication tiers and tested recovery objectives — a DR plan that has actually been rehearsed.
Hybrid & multi-cloud
Connectivity, identity federation and workload placement when part of the estate stays on your own floor.
What it produces
Outcomes we hold ourselves to
Spend recovered
The usual first-quarter saving from right-sizing, scheduling and commitment cover.
Every rupee attributable
Cost split by team, product and environment — arguments about the bill end.
Migrations that finish
Applications grouped by dependency and risk so momentum never stalls halfway.
Recovery you have tested
Objectives written down, rehearsed on a schedule and evidenced. *Target, workload-dependent.
How the work runs
Foundation first, workloads second
Moving applications into an unfinished landing zone is the single most common reason cloud programmes overrun. We invert the order.
Discover
Inventory and dependency map
Every application, its data gravity, its integrations and the business tolerance for it being unavailable.
Found
Build the landing zone
Accounts, identity, network, policy guardrails, logging and cost tagging stood up and validated before anything moves.
Move
Migrate in waves
Low-risk workloads prove the pattern, complex ones follow. Each wave has a cutover plan and a way back.
Tune
Operate and optimise
Monthly cost and performance review, commitment adjustments, and guardrail updates as the estate matures.
Deliverables
What lands on your side
- Landing-zone architecture document and policy set
- Application dependency map with migration wave plan
- Tagging standard and cost-allocation dashboard
- Backup, replication and tested recovery runbook
- Infrastructure-as-code repository you own outright
Platforms and tooling
What this is built on
Google CloudAWSMicrosoft AzureTerraformKubernetesDockerCloudflareVeeam
When clients call us
Situations this work is built for
First move off your own servers
A hardware refresh is due and the maths favours renting capacity. We plan the exit so the lease ends and nothing is stranded.
A bill that has quietly doubled
A cost forensics engagement that finds the drift, fixes it, and puts guardrails in so it does not return.
Scaling for a product launch
Autoscaling, load testing and a cost ceiling agreed before traffic arrives, not discovered after it does.
The difference
Why our cloud work holds up
We are certified on all three hyperscalers, which means the recommendation follows the workload.
No platform loyalty
We carry no resale target that pushes you toward one provider. Sometimes the honest answer is that your workload should stay where it is.
Cost is a design input
Unit economics get modelled during architecture, not discovered on the first invoice. You approve a number before we build to it.
You keep the code
Everything is delivered as Terraform in your repository. Nothing about your environment lives only in our heads.
Questions
Answered before you ask
It depends on where your data already sits, what your team can support, and your licensing position. We run a short workload-fit assessment and give you the comparison with the reasoning, rather than a conclusion.
Most workloads move with a short, scheduled cutover and several rehearsals beforehand. Anything that genuinely cannot pause gets a replication-and-switch approach so downtime is measured in minutes.
Usually a meaningful amount, yes. Scheduling non-production, right-sizing over-provisioned instances and buying appropriate commitments are the fastest wins and require no application changes.
No, and you often should not. Latency-sensitive, licence-locked or heavily regulated workloads frequently belong on your own infrastructure. We design for the split rather than pretending it does not exist.
Continue
Capabilities that pair with this
Talk to us
Send us last month’s invoice
A single billing export tells us more than a discovery workshop. We will come back with where the spend is going and what we would change first.