Trusted Digital Transformation Partner
ROSTAN partners with Google Cloud to deliver world-class data engineering, AI/ML workloads, and cloud-native applications. Leveraging GCP's global fiber network (spanning 200+ countries), BigQuery's serverless analytics, and Vertex AI for MLOps, we architect solutions that turn data into competitive advantage — from petabyte-scale analytics pipelines to real-time ML prediction endpoints in production.
Multi-Region GCP Architecture — Mumbai & Iowa
Deep GCP expertise across data, AI/ML, Kubernetes, and cloud-native platforms — purpose-built for modern enterprises and data-first organisations.
Cloud Maturity Assessment and phased migration to Google Cloud — from initial TCO analysis and workload discovery to production cut-over using Google's proven Migrate for Compute Engine tooling.
Kubernetes — as pioneered by Google — delivered as a fully managed service with Autopilot mode for hands-free node management, Anthos for multi-cluster federation, and zero-trust workload identity.
Serverless, petabyte-scale analytics that delivers sub-second query performance with no infrastructure management. We design end-to-end data pipelines from ingestion through transformation to BI dashboards.
End-to-end MLOps on Google's unified AI platform — from feature engineering and model training to versioned Model Registry, Prediction endpoints, and continuous evaluation pipelines in production.
Zero-trust GCP security architecture using BeyondCorp, VPC Service Controls perimeters, Cloud Armor WAF, and Chronicle SIEM — designed for PCI-DSS, ISO 27001, and PDPB compliance.
SRE-style cloud operations that keep your GCP environment healthy, cost-efficient, and compliant — with defined SLOs, automated scaling runbooks, and proactive FinOps cost governance.
Where Google Cloud leads the industry — across the capabilities that matter most for data-driven enterprises.
The technical capabilities that make GCP the platform of choice for data-intensive and AI-first organisations.
| Feature | ✓ GKE Autopilot | GKE Standard |
|---|---|---|
| Node management | Fully managed by Google | Customer manages nodes |
| Billing model | Per Pod (CPU/memory) | Per Node (VM) |
| Security hardening | Hardened by default | Manual configuration |
| Best for | Hands-off operations | Custom node pools, GPUs |
| Cluster autoscaling | Automatic, transparent | Cluster Autoscaler (manual) |
Pay per TB of data processed by queries. Ideal for ad-hoc analytics and exploratory workloads with unpredictable query volumes.
Reserve dedicated BigQuery slots (CPU) at a fixed monthly cost. Predictable billing for high-volume, production analytics pipelines.
In-memory analysis acceleration for sub-second Looker Studio and Looker dashboard queries. Reserved per-project, per-region.
How ROSTAN architects end-to-end ML delivery on Vertex AI.
Talk to a ROSTAN GCP architect and discover how BigQuery, GKE, and Vertex AI can accelerate your data and AI roadmap. Free assessment, no commitment.
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