virtual-store

virtual-store

Project Overview

The goal is to create a scalable microservices-based e-commerce application using Go and Kubernetes. This system will consist of several independent microservices that handle different aspects of the e-commerce business, such as user management, product inventory, and order processing.

1. Microservices Breakdown

• User Management Service: Handles user registration, authentication, and profile management.
• Product Inventory Service: Manages product listings, stock levels, and pricing.
• Order Processing Service: Takes care of order placement, payment processing (integrating with a mock payment gateway), and order status updates.

2. Technology Stack

• Go: All microservices will be written in Go, leveraging its strong support for concurrent operations and performance.
• Docker: Each microservice will be containerized using Docker, which simplifies deployment and scalability in Kubernetes.
• Kubernetes: Orchestrates and manages the containerized services, handling deployment, scaling, and management of the microservice containers.
• Prometheus: Integrated into Kubernetes for monitoring the state and performance of the microservices.
• Grafana: Connects to Prometheus to provide visual analytics and dashboards for monitoring the microservices.

3. Microservices Communication

• RESTful APIs: Services will communicate with each other over HTTP/HTTPS using RESTful APIs.
• gRPC: For internal communications that require higher efficiency and lower latency, gRPC can be used.

4. Data Management

• Database per Service: Each service will have its own dedicated database to ensure loose coupling and data encapsulation.
• Persistent Volume in Kubernetes: For database storage, Kubernetes persistent volumes will be used to ensure data persistence across pod restarts.

5. Monitoring Setup

• Prometheus: Deployed as a part of the Kubernetes cluster to collect metrics from each microservice. Metrics to monitor could include request count, error rates, response times, and system resource usage.
• Grafana: Used to visualize the metrics collected by Prometheus. Set up dashboards specific to each microservice and general dashboards for overall health.