Run Your Workloads Well on AWS and Google Cloud
Both platforms will host almost anything. The difference between a cloud that works and a cloud that costs is in the landing zone, the identity model and the operational discipline around them.
Set up properly the first time
Cloud estates that grow organically develop the same problems: one account holding everything, permissions granted broadly to unblock a deployment, resources nobody can attribute, and no consistent way to rebuild anything.
A landing zone fixes that at the foundation — account structure, identity, network, logging, budget alerts and guardrails — so everything built afterwards inherits sensible defaults.
Structured from the start
Account and project separation, network design and central logging established before workloads land.
Identity done properly
Federated access, least-privilege roles and no long-lived static credentials.
Spend attributable
Tagging, budgets and per-service reporting so costs map to teams, products or customers.
Business problems this solves
Where cloud estates go wrong.
Everything in one account
Development, staging and production share a blast radius, and a mistake in one affects all.
Nobody can explain the bill
Spend grows without attribution, and there is no basis for deciding what to cut.
Access is over-permissive
Broad administrative roles were granted to solve an urgent problem and never revisited.
Manual, unrepeatable setup
Resources created through the console, so environments cannot be rebuilt or compared.
No disaster recovery position
Backups exist somewhere, but nobody has tested a restore or defined a recovery objective.
What we deliver
Platform engineering across AWS and Google Cloud.
Landing zone design
Account or project structure, organisational policies, networking, logging and guardrails.
Migration
Assessment, wave planning, execution and validation with a rollback path at each step.
Serverless workloads
Lambda and Cloud Run based services where event-driven design fits the workload and the budget.
Container platforms
ECS, EKS, GKE or Cloud Run, sized to what your team can realistically operate.
Managed data services
Managed relational, cache, object storage and analytics services with backup and replication configured.
Security and compliance
Identity, encryption, network controls, posture monitoring and audit logging.
Monitoring
Metrics, logs, traces, dashboards and alerting tuned so alerts mean something.
Cost optimisation
Right-sizing, scheduling, storage lifecycle, commitment planning and continuous review.
What changes for the business
Outcomes our clients engage us for — stated plainly, without invented numbers.
A platform teams can build on
New services inherit networking, identity, logging and budget controls automatically.
Lower, explainable spend
Attribution makes cost a managed number rather than a monthly surprise.
Recovery you have rehearsed
Defined objectives and tested restores turn incidents into procedures.
Security you can evidence
Controls and logs available when a customer or auditor asks for them.
How we deliver
Assess
Workloads, dependencies, spend, security posture and recovery requirements documented.
Design
Landing zone and target architecture agreed, defined as code from the outset.
Build the foundation
Accounts, identity, network, logging and guardrails deployed and reviewed.
Migrate
Workloads moved in waves, each validated before the next begins.
Operate
Monitoring, cost review and a documented handover to your engineers.
Technologies and platforms we use
Chosen against your requirements, your team and your existing estate — never by default.
AWS
Google Cloud
Automation
Operations
How we protect the work
Everything defined as code
Console changes are the exception and are reconciled back into the repository.
Guardrails over gatekeeping
Organisational policies prevent the dangerous defaults automatically instead of relying on review.
Backups verified
Restore tests are scheduled and recorded, because untested backups are assumptions.
Documented handover
Architecture diagrams, runbooks and access documentation delivered as part of the engagement.
Where we apply this
Sectors where we have delivered this capability. If yours is not listed, the underlying problems are usually similar — ask us.
Client case studies for this service are being prepared and will be published once each client has approved the content. We can discuss relevant engagements — including reference conversations — on a call.
Frequently asked questions
AWS or Google Cloud?
Both are capable. Teams with significant data and analytics work often prefer Google Cloud; the breadth of managed services and the depth of the ecosystem frequently favour AWS.
We recommend based on workload, team experience and commercial terms — and we are equally happy operating either.
Can we use both?
Yes, though it doubles the operational surface. It is justified for specific workloads or data residency requirements, less so as a default position.
How long does a migration take?
It depends on how many workloads and how coupled they are. We plan in waves so value arrives early and the risk is spread rather than concentrated in one weekend.
Will you manage the environment afterwards?
We can, under a managed support arrangement — or hand over fully to your team with documentation and training. Both are common.
Do we need to re-architect to move?
Not always. Some workloads move as they are and are improved later; others should be re-architected during the move. The assessment decides this per workload rather than as a blanket policy.
Related services
Capabilities that are often delivered alongside this one.
Cloud & DevOps
Cloud architecture, migration, CI/CD, infrastructure as code and managed cloud operations.
Explore service SolutionsDevOps
Pipelines, environments, monitoring and the working practices that make releases routine.
Explore service SolutionsSaaS Development
Multi-tenant products with billing, onboarding and the operational tooling a SaaS business needs.
Explore serviceReady to talk about aws and google cloud platform?
Tell us what you are planning. We will come back with a practical approach, the right engagement model and an indicative timeline.