Google Cloud Platform
Also known as: GCP · Google Cloud
Google Cloud Platform is Google's cloud, strongest where data and ML workloads dominate — BigQuery, Vertex AI, Dataflow, Pub/Sub, and Cloud Run all read like first-class citizens rather than late additions. TantraDev reaches for GCP when ML training cost or analytical query economics dominate the architecture decision, particularly in EdTech and consumer-data products.
Concepts that travel with this one.
Architecture rarely lives in isolation — these are the terms that come up in the same conversation.
Amazon Web Services
AWS is Amazon's cloud platform — the most service-dense and the operational default for most TantraDev FinTech engagements. The depth (KMS, Aurora, ECS Fargate, EKS, Lambda, SQS, EventBridge, CloudFront) covers nearly every architectural choice without forcing a multi-cloud foray. We default to AWS when the client has no existing cloud preference and the latency budget allows it.
Microsoft Azure
Azure is Microsoft's cloud platform, dominant in healthcare and government deployments where existing Microsoft licensing and HIPAA BAA structure tip the calculus. TantraDev uses Azure for HIPAA-residency workloads, AKS-based Kubernetes engagements, and clients with existing Microsoft enterprise agreements. Service parity with AWS is close enough that the choice is almost always organisational, not technical.
Building a system where Google Cloud Platform is the load-bearing decision?
30 minutes on the phone, one page in your inbox — what to build, what to skip, what it will cost. You keep the audit even if we are not the right fit.