Background
The client's SaaS platform had been running entirely on AWS for years. As they grew—adding new regions, enterprise customers with cloud preferences, and compliance requirements—they faced a strategic decision: stay locked into AWS or expand to multi-cloud.
We partnered with them to architect and implement a multi-cloud deployment spanning GCP and AWS. The platform now runs workloads across both clouds, giving them geographic flexibility, vendor diversification, and the ability to meet customer-specific cloud requirements without rebuilding from scratch.
The Challenges
- •Platform was tightly coupled to AWS services—difficult to expand elsewhere
- •Enterprise customers and partners required GCP deployment options
- •Single-cloud dependency created vendor lock-in and pricing pressure
- •Regional expansion needed cloud presence beyond AWS availability zones
“We were growing fast, but our AWS-only architecture was becoming a constraint. Customers asked for GCP, and we needed the flexibility to say yes.”
Our Approach
We designed a 3-phase strategy to abstract cloud-specific logic, replicate the platform on GCP, and unify operations across both clouds.
Phase 01: Cloud-Agnostic Abstraction Layer
We introduced abstractions for compute, storage, networking, and managed services so core application logic could run on either AWS or GCP. Terraform and Kubernetes provided a common deployment model.
- •Abstracted cloud-specific APIs behind a unified interface
- •Kubernetes for workload portability across clouds
- •Terraform modules for consistent infra-as-code on AWS and GCP
Phase 02: GCP Deployment & Data Parity
We replicated the production stack on GCP—equivalent compute, storage, databases, and networking. Data sync and cross-cloud identity ensured consistency for users regardless of region.
- •Mirrored architecture on GCP with equivalent services
- •Cross-cloud data sync and replication strategies
- •Unified identity and access management across clouds
Phase 03: Unified Operations & Observability
We built a single control plane for monitoring, logging, alerting, and incident response across both clouds. CI/CD pipelines deploy to AWS, GCP, or both based on routing rules.
- •Centralized observability across AWS and GCP
- •Multi-cloud CI/CD with cloud-specific deployment targets
- •Unified cost and capacity visibility
The Results
- •Platform now runs on GCP + AWS with seamless regional routing
- •Enterprise customers can choose their preferred cloud (AWS or GCP)
- •Reduced vendor lock-in and improved negotiating leverage
- •Faster regional expansion using the cloud best suited for each market
“We went from 'AWS only' to 'your cloud, your choice.' Enterprise deals that were stalled opened up, and we can now expand into regions we couldn't serve before.”
Final Takeaway
Multi-cloud is not about rewriting everything—it's about the right abstractions, a consistent deployment model, and a unified operations approach. With Kubernetes, Terraform, and careful service mapping, an AWS-native SaaS can expand to GCP while preserving reliability and velocity.
Technologies We Use
Modern, proven technologies to build robust applications
Kubernetes
Terraform
AWS
GCP
Docker
