GoogleCloudPlatform/microservices-demo
Microservices Demo
This project is a Kubernetes microservices reference architecture implemented as a functional cloud-native e-commerce demo. It serves as a distributed systems testbed designed to demonstrate cloud-native deployment patterns, orchestration, and the interaction of independent services.
The system showcases a polyglot service implementation using high-performance communication via gRPC and REST. It integrates generative AI for image analysis and product recommendations, and implements a service mesh to manage traffic, security, and observability between services.
The application covers e-commerce operations including storefront management, product cataloging, shopping cart state, and payment processing workflows. It includes supporting capabilities for currency conversion, shipping cost estimation, and asynchronous order notifications.
The repository provides deployment manifests to install the multi-service application to a cluster and includes a synthetic request generator to simulate user traffic for performance testing.
Features
- Kubernetes Cluster Orchestration - Uses Kubernetes manifests to define the automated deployment and scaling of microservices across a cluster.
- Demo Environments - Provides a functional online storefront as a reference demo for testing service mesh and observability in cloud environments.
- E-commerce and Shopping - Ships a functional web-based storefront for browsing product catalogs and managing shopping carts.
- Order Lifecycle Orchestration - Coordinates the end-to-end purchase process including cart retrieval, payment, shipping, and notifications.
- Payment Processing - Provides a system for validating credit card information and executing financial transactions.
- Product Catalogs - Provides a system for managing product metadata and serving available item lists.
- Shopping Carts - Manages the state and item logic for user shopping carts during a session.
- In-Memory Session Stores - Uses a high-performance in-memory store to manage user shopping cart state with low latency.
- Service Mesh - Integrates a service mesh to manage traffic routing, security, and observability between distributed microservices.
- Cloud-Native Microservices - Implements a reference architecture for containerized microservices deployed and orchestrated on Kubernetes.
- Cloud Native Infrastructure - Provides orchestration manifests and patterns for deploying scalable services in a cloud-native environment.
- Performance Testbeds - Serves as a distributed systems testbed to evaluate backend performance using simulated user traffic.
- E-commerce System Architectures - Implements a complete distributed architecture for an e-commerce system with integrated catalogs and payment workflows.
- Microservice Architectures - Showcases a reference architecture of loosely coupled, independently deployable microservices.
- Service Meshes - Implements a service mesh to manage traffic routing, security, and observability between microservices.
- Container-Based Isolation - Encapsulates each functional component in separate containers to ensure independent scaling and deployment.
- RESTful Services - Implements stateless RESTful communication to maintain loose coupling between diverse functional modules.
- AI Assistants - Provides a generative AI assistant that analyzes images to suggest relevant products for purchase.
- AI Model Inference - Implements asynchronous AI model inference to provide product recommendations via external API calls.
- Generative AI Integration Patterns - Demonstrates the integration of generative AI for image analysis and product recommendations within a microservices architecture.
- Recommendation Engines - Analyzes shopping cart contents to suggest related or complementary products.
- gRPC Service Implementations - Showcases a polyglot implementation of independent services communicating via high-performance gRPC calls.
- Polyglot Microservices - Demonstrates interoperability in a distributed system by implementing different services in various programming languages.
- Synthetic Traffic Generators - Includes a synthetic request generator to simulate user traffic and test system stability under load.
- Kubernetes and Orchestration - Provides a sample gRPC-based ecommerce microservices architecture.
- Microservice Reference Implementations - Polyglot cloud-native e-commerce demonstration application.
