Modern applications built on Google Cloud
UltraApps uses Google Cloud for applications requiring secure hosting, serverless infrastructure, data processing and production AI.
- The stack serves the product, not the other way around
- Cloud Run services
- Cloud Functions
- BigQuery analytics
System view
How it sits in a real application
We choose technology based on the product, team and business problem — then wire it into a maintainable system, not a logo collage.
What we use it for
Where this shows up in products
Cloud Run services
Cloud Functions
BigQuery analytics
Vertex AI workloads
Cloud Storage
Firebase apps
IAM and security boundaries
Why we use it
Why it earns a place in the stack
- Strong combination of app infrastructure, data and AI
- Natural path when conventional software and AI overlap
- Firebase and GCP share identity and operational patterns
- Good fit for serverless and containerized delivery
When we would not
When we recommend something else
- When the organization is standardized on AWS and switching costs dominate
- When a simpler single-platform host is enough for a small product
- When compliance requires a different cloud for specific workloads
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Related technologies & services
FAQ
Questions teams ask
Straight answers on stack choices, fit, and how we engage.
No. We also work with AWS and other hosts. Google Cloud is a frequent recommendation when AI and data services matter together.
Firebase sits on Google Cloud and often pairs with Cloud Run, BigQuery or Vertex AI as products grow.
Yes. Identity, secrets, environment separation and least privilege are part of production delivery.
Next step
Build on Google Cloud
We’ll design hosting, data and AI infrastructure around the product — starting simple.
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