Cloud technology stack for your workloads
We help CTOs and platform leads compare AWS, Azure and Google Cloud for existing estates and planned workloads. We assess identity, data location, operating responsibilities and cost, then define the provider decision and the engineering work it needs.
01Capabilities
Cloud engineering decisions behind the provider choice
We assess cloud technologies in the context of your workloads, service model and operating responsibilities. Cloud migration and cloud infrastructure engineering cover the workload move and the environment it needs to run.
Migration scope and cutover
We plan the data cutover, DNS changes and rollback path around workload dependencies. In logistics and hospitality systems, the migration plan records the operating window and the verification needed before cutover.
Landing zones, identity and governance
We define accounts, networking, identity and policy as code. The landing zone establishes the access and network boundaries that the workloads and operating team will use.
Measured cost engineering
We examine sizing, storage classes, transfer, unpartitioned tables and unused environments against actual utilization. The cost profile identifies which changes can be made in the current setup and which depend on a wider architectural decision.
Operational ownership and handover
We define logging, metrics, tracing, alerting and runbooks around the team's operating responsibilities. Where delivery and ongoing operation are the main scope, the work connects to DevOps consulting.
02Stack
Compare AWS, Azure and Google Cloud
We assess service models separately from AWS, Azure and Google Cloud provider choices. With IaaS, you control operating systems, storage and applications; the provider manages the underlying infrastructure. With PaaS, you control deployed applications and possibly hosting configuration; the provider manages the platform and operating systems. With SaaS, you use the provider's application, with limited user-specific configuration where available.
| Provider | What that means in practice |
|---|---|
| AWS | Managed servicesAssess AWS managed services against the workload, integration needs and the platform skills already available. The comparison includes the operating model and total cost of the planned architecture.AWS engineeringOr book a meeting |
| Microsoft Azure | Microsoft estateActive Directory, SQL Server, .NET and existing agreements are inputs to the Azure comparison. We assess compatibility and identity integration alongside the services and operating model the workload requires.Azure migrationOr book a meeting |
| Google Cloud | Data and analyticsAssess BigQuery and Vertex AI where analytics or model workloads need access to existing data. Data location, integration and the wider application requirements remain part of the provider comparison.Google CloudOr book a meeting |
03Fit
Choose from workload, identity and operating constraints
We compare provider options against the estate you operate and the workload you intend to run. Existing agreements and data location sit alongside service requirements, team skills and the full cost of operating the result.
| Your situation | What we recommend |
|---|---|
| Microsoft-centric estate: .NET services, Active Directory, SQL Server, an existing enterprise agreement | Assess AzureWe assess identity integration, licensing and SQL Server compatibility alongside managed-service needs and operating requirements. Existing agreements are included in the cost profile. |
| Mixed estate, specific managed-service requirements and an established cloud platform team | Assess AWSWe compare the AWS services the workload needs with the platform team's existing skills. Integration, migration effort and ongoing operating costs all enter the decision. |
| Analytics, event data or model workloads are central to the cloud investment | Assess Google CloudWe assess BigQuery and Vertex AI against data location, access and processing needs. The recommendation also accounts for application integration and the effort required to move or connect the data. |
| The architecture meets current needs; the objective is a lower operating bill | Review cost engineeringWe examine utilization, sizing, storage and transfer in the existing estate before proposing changes. The cost assessment establishes what can be improved within the current architecture and what requires a wider change. |
| A predictable application with a defined operating team | Assess a managed platformWe compare a managed platform with the required access, deployment, monitoring and recovery controls. Operating responsibilities and total cost determine the fit; a smaller platform is evaluated against the same requirements. |
| An in-progress migration needs a revised completion plan | Review cutoverWe check what has moved, what still depends on the old estate and which cutover decisions remain open. The revised plan sets verification, rollback and responsibility for the next workload group. |
Scope
We separate provider selection, delivery tooling and application changes. Azure DevOps is a pipeline decision alongside the hosting choice. We define the cost profile, identity and network boundaries, failure scenarios and operating ownership through cloud consulting. We work to ISO 27001:2022 and ISO 9001:2015, audited by Quay Audit UK.
04Delivery
Build the provider decision from the estate
We establish the constraints and measured workload before writing the recommendation. Each stage supplies an input to the provider choice and migration scope.
- Record the constraints and target dateWe identify data-residency and regulatory requirements, existing agreements and any lease or hardware deadline. These constraints establish the regions, deployment model and timing that the platform decision must support.
- Map dependencies and measured utilizationWe record what runs, the systems it depends on and utilization over a representative period. The workload groups and cost profile follow that evidence, including components that can remain in the current environment.
- Assess identity, data location and movementWe examine directory integration and licensing alongside where data is stored and how it must be accessed. The comparison includes the work and cost of moving data, connecting systems and operating the resulting platform.
- Write the recommendation and its trade-offsWe document the provider, the constraints it satisfies, the alternatives considered and the workloads included or left in place. The written decision can also form the scope for an independent quality audit.
05Trust
AWS cost engineering for a B2B SaaS platform
- 30%+Lower AWS costsUS B2B SaaS platform, reported by the client, versus their previous setup
06Case studies
AWS and Azure migrations and platform engineering
- SaaSAWS costs down 30%+ for a US B2B SaaS platformunicrew became the programming team for a B2B SaaS platform that had run for over a decade, streamlined how it used AWS and Heroku, and sped up rollouts.30%+Lower AWS costs
SaaSCloud Migration and DevOps Support for a B2B PlatformAzure migration and ongoing DevOps for a B2B CRM platform serving manufacturers and wholesale distributors.
HospitalityCloud Migration of a Booking Platform for Hotels and Hotel NetworksA more cost-efficient, reliable, and scalable platform for hotel bookings, running on a modern containerized cloud stack.- LogisticsA freight-management platform and mobile apps for a US logistics startup (Mover Technologies)
- HealthcareStabilizing and Scaling a Home Health Monitoring PlatformA U.S. consumer health tech company needed system stability and an experienced partner. unicrew stabilized the platform, optimized infrastructure costs, and delivered new features, becoming a long-term technology partner.
LogisticsCustom software for a US moving companyAn end-to-end SaaS platform for managing household moves and every business operation of a logistics company.Built from scratchAn end-to-end SaaS for household moves and the operations behind them
We choose between AWS, Azure and Google Cloud from what you already run. Where your identity lives sets your licensing costs, and where your data sits sets what a migration costs to finish. Between them, those two settle most provider choices.
Oleksandr TrofimovChief Technology Officer, unicrew07Questions
Questions about cloud provider choice and scope
We compare AWS, Azure and Google Cloud against the workload and the estate you already operate.
- The Azure comparison includes Microsoft identity, SQL Server, .NET and existing agreements.
- We assess AWS against required managed services and the team's platform skills.
- For Google Cloud, we assess BigQuery and Vertex AI against data and analytics requirements.
We test each option against regional and data-location requirements, then compare migration effort with the cost and responsibilities of operating it.
Yes. We scope cloud engineering around the workloads, platform decisions and operating responsibilities you need.
The verification work is agreed through our QA practice. A managed development team includes unicrew delivery coordination, with the cloud scope and handover responsibilities defined at the outset.
Cost engineering can begin within the current architecture.
We review utilization and configuration, then identify which changes can be made in place and which need application redesign.
A US B2B SaaS client reported AWS costs reduced by 30% or more versus their previous setup. The case study describes that engagement.
We start with a scoping call about your estate and the provider or cost decision you need to make.
Bring read access to the account and billing data, plus any existing assessment. The written recommendation covers the provider options, cost profile and workloads to move or retain. Most engagements start within two to four weeks.
Time and materials is billed hourly and quoted per project. Fixed price is outcome based and quoted per project. Team extension is billed monthly per team member.
Services we deliver in Cloud Technology
All servicesPlan the next cloud platform decision
Bring the workload inventory, current identity setup and target date. We will outline the provider comparison, cost profile and migration boundaries for the work you are planning.