Commerce Personalization Platform on GCP

GCP, Microservices, E-commerce

Cloud Run Cloud CDN Cloud API Gateway Cloud Spanner Pub/Sub Cloud Build Artifact Registry Cloud Deploy IAM Cloud Armor Secret Manager

Overview

Built a scalable, microservices-based e-commerce personalization platform on GCP, enabling high throughput API delivery, personalized shopping experiences, and accelerated deployment through CI/CD automation. The goal was to support a modern digital commerce experience that could autoscale based on demand while maintaining low latency and high availability.

Architecture Highlights

Cloud Run

Frontend hosting and backend APIs for Catalog, Orders, Payments, Shipping, and Users with autoscaling

Cloud CDN

Content distribution for frontend assets with global edge caching

Cloud API Gateway

Routing, throttling, and authentication for all API endpoints

Cloud Spanner

Scalable database backend for transactional consistency across services

Pub/Sub

Messaging backbone for decoupling services and event-driven architecture

Cloud Build & Deploy

CI/CD automation for building, testing, and deploying microservices

Artifact Registry

Container image storage and management for all microservices

Security Services

IAM, Cloud Armor, and Secret Manager for comprehensive security

Architecture Diagram: Microservice interactions, Cloud Run autoscaling, and GCP messaging/data layers

Design Principles

Elastic

Each microservice had independent autoscaling configurations via Cloud Run and horizontal pod scaling, allowing the platform to handle variable traffic patterns efficiently.

Resilient

Pub/Sub enabled retry and fallback logic; dashboards with alerts built via Cloud Monitoring provided early warning of potential issues.

Responsive

APIs served millisecond response times with independent deployments, ensuring a fast and smooth user experience.

Asynchronous

Communication across services achieved using messaging queues for fulfillment and shipping processes, preventing bottlenecks.

CI/CD and Quality Engineering

Jenkins pipelines triggered from GitHub with Jenkinsfile for microservices
Integration with GCP Cloud Build for container image builds
Automated testing using Selenium Grid on Kubernetes and BrowserStack for cross-browser validation
API performance testing conducted during deployment gates

Customer Impact

Business Results

Faster storefront launches by leveraging service boilerplates and reusable components

Improved personalization accuracy through near real-time inference

70%

Reduction in manual deployment effort through fully automated CI/CD pipelines

Key Takeaways

Effective separation of concerns via event-driven microservices

Integrated test automation pipelines during builds

Built reusable templates for new commerce services

Created a strong foundation for AI personalization layers

Back to Blog Index