Cloud Migration at Scale
GCP-to-AWS Migration for a National Retail SaaS Platform
A national retail-technology SaaS platform powering cloud-based point-of-sale, inventory management, and digital payments for 10,000+ stores — including major retail chains — needed to migrate its entire production infrastructure from Google Cloud Platform to AWS. We were brought in through a partner engagement to plan and execute the migration with zero downtime, re-architect services for AWS-native primitives, and ensure the platform could continue processing millions of daily transactions without interruption throughout the transition.
The Challenge
What We Faced
The platform had grown to serve 10,000+ retail stores nationwide — from large multi-chain brands to independent retailers — running cloud POS billing, real-time inventory sync, digital payment acceptance, and AI-driven sales analytics. The entire stack was built on GCP. A strategic acquisition required the platform to migrate fully to AWS within a tight timeline. The challenge: re-platform every service — databases, compute, messaging, CDN, ML pipelines — without a single second of downtime for the thousands of stores that depended on it for daily billing and payments. Any outage during store hours would directly impact merchant revenue.
Our Solution
How We Solved It
We executed a phased, zero-downtime migration using a dual-write strategy: new writes went to both GCP and AWS simultaneously while historical data was backfilled. Services were decomposed into 14 independently deployable microservices on EKS, each migrated incrementally using a strangler-fig pattern. Cloud SQL moved to Aurora PostgreSQL and DynamoDB for high-throughput workloads, GCS to S3, Pub/Sub to SQS/SNS with EventBridge for orchestration, and GKE to EKS. We rebuilt the API layer on API Gateway with Lambda functions for lightweight, event-driven workloads — payment webhooks, notification dispatch, and inventory sync triggers. Terraform IaC covered the entire target state. Traffic was shifted store-by-store over 6 weeks using weighted DNS routing, with a real-time reconciliation dashboard comparing transaction records across both clouds.
Outcomes
Key Results
Technology Stack
Our Expertise
Related Services
Software Product Development
End-to-end product development from ideation to market launch and beyond.
Application DevelopmentWeb Application Development
Modern, responsive web applications built with cutting-edge technologies.
Application DevelopmentApplication Modernization
Transform legacy applications into modern, cloud-native solutions.
From Our Blog
Related Insights
Building Multi-Agent Systems: Orchestration Patterns That Scale
Practical architecture patterns for orchestrating multiple AI agents that collaborate on complex enterprise workflows.
AI AgentsAI Agent Tool Use: Designing Reliable Function-Calling Interfaces
How to design tool interfaces that AI agents can use reliably at scale — from schema design to error handling and retry strategies.
AI AgentsDeploying AI Agents to Production: Infrastructure Patterns and Pitfalls
Production infrastructure for AI agents — from containerization and scaling to observability, cost management, and safety guardrails.