Where Google Cloud fits
Google Cloud can support application hosting, data processing and analytics when its services align with the workload and operating model.
Engineering priorities
- Separate projects and service identities
- Manage data access and lifecycle
- Set budgets and recovery procedures
The tradeoff
Assess transfer patterns and service dependencies when comparing platforms. No Google Cloud partnership or certification is claimed.
How we evaluate the fit
We review your existing architecture, integrations, team skills and operating constraints. Where feasibility is uncertain, a focused technical experiment tests the hardest assumption before we commit to a larger implementation.
Our handover includes the build and release approach, dependency responsibilities and the documentation needed to continue the work. Technology choice is recorded as a decision with reasons, rather than a requirement to follow a preferred stack.
Related engineering services
Go deeper
For platform concepts and current implementation details, consult the official Google Cloud documentation.