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GOOGLE CLOUD

Google Cloud — strong for data and ML , solid for everything.

GCP shines for data analytics, ML workloads, and teams already in the Google ecosystem. Dezvo architects GCP setups for SaaS, data pipelines, and ML serving. BigQuery for analytics, Vertex AI for ML, Cloud Run for serverless containers.

See Our Work
GCP services we run
  • BigQuery + Looker
  • Vertex AI + AutoML
  • Cloud Run + GKE
  • Pub/Sub + Dataflow
  • Firebase + Firestore
WHAT WE OFFER

GCP across data, AI, and infrastructure.

BigQuery analytics

Data warehouse setup, ETL pipelines, Looker dashboards. Serverless analytics at scale — no infrastructure to manage.

Vertex AI / ML serving

Custom model training, AutoML, model serving at scale. Integration with Google's Gemini for generative AI features.

Cloud Run + GKE

Serverless containers (Cloud Run) for web apps. GKE when you need full Kubernetes. Vertex AI Workbench for ML pipelines.

Real-time data

Pub/Sub + Dataflow + BigQuery for streaming analytics. Event-driven architectures that scale to millions of events per second.

FAQ

Common questions, answered.

If your question isn't here, message us — usually same-day reply.

BigQuery is best-in-class for analytics. Vertex AI tight integration with Gemini. Firebase + Firestore are easier than DynamoDB. GCP networking and pricing can be cheaper than AWS for some workloads.

If your team is on Google Workspace, GCP integrates seamlessly — same auth, same admin, same billing. Big productivity win for ops.

Yes — common request. Most cost-effective when moving data-heavy workloads (BigQuery is significantly cheaper than equivalent AWS analytics).

GCP's pricing is generally simpler than AWS. Sustained-use discounts apply automatically. Committed-use discounts for predictable workloads. We optimise both.
RELATED SERVICES

Bundle the services that work together.

AWS Cloud Services

AWS-specific work.

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Azure Cloud Services

Microsoft cloud.

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Cloud Management

Multi-cloud strategy.

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