Google Cloud
Cloud infrastructure shaped around the product
Google Cloud provides managed services for applications, data and infrastructure. The greatest value does not come from using as many services as possible, but from a small, deliberate architecture.
We use Google Cloud when flexible containers, managed databases, data processing or existing Google services create a clear advantage.
Typical use cases
- Cloud Run operates applications without permanent server management and scales with actual demand.
- Managed databases, messaging and analytics services connect operational systems and data flows.
- Identity, networking, monitoring and permissions can be managed centrally and transparently.
Managed services used with restraint
Managed services can simplify operations, updates and scaling considerably. Too many proprietary components increase complexity and make a future move harder.
We therefore prefer open foundations such as containers and PostgreSQL when they meet the requirements and use specialized services where their value is measurable.
The main benefits
Applications and data can grow with actual demand without investing in oversized infrastructure too early.
Analytics, messaging and AI services can be combined within one platform.
Infrastructure as code, monitoring and central permissions create reproducible environments.
Cost, complexity and dependencies
Usage-based pricing is flexible but requires budgets, monitoring and clear ownership.
A broad platform can encourage unnecessary components. Fewer services are often more robust.
Compliance, data flows and a possible provider change need to be considered from the start.
Our practical conclusion
Google Cloud is strong when managed infrastructure, data and integrations need to scale together.
Reliable operations, transparent costs and long-term freedom remain the deciding factors.