Design and Architecture of a Cloud Shopping Cart System
This article explains the design and architecture of a cloud-based shopping cart system, covering its functional modules, layered and cluster designs, distributed goals such as stability and elasticity, three-level caching, asynchronous checks, heterogeneous storage, payment solutions, and anti‑scalping measures.
Preface
The main functions of a shopping cart are: 1) Similar to a traditional store, it allows users to select multiple items for checkout at once. 2) It serves as a temporary collection area. 3) For merchants, the cart is one of the best places for promotion.
Early Stage
ERP split; Business service‑oriented split; WCS split.
Shopping Cart Functional Module Overview
Layered Design
Cluster Design
From the application layer perspective, the cloud shopping cart is designed with three parts – an interaction layer, a business assembly layer, and a basic service layer (horizontal). Each part consists of one or more clusters.
Interaction layer: includes the shopping page (add to cart, view cart) and the checkout page (checkout, immediate purchase, submit order for payment). Business assembly layer: provides standard shopping cart processes and non‑standard processes. Basic service layer: encapsulates data delivery from peripheral systems and core functional services.
From the application cluster perspective, two clusters are designed – a shopping‑cart cluster and a settlement‑cart cluster (vertical).
Shopping‑cart cluster: high traffic, stores sensitive user information that must not be lost (basic purchase data). Settlement‑cart cluster: handles additional checkout information, which is less sensitive (payment configuration, etc.).
Technical Architecture Design
The distributed design aims to achieve the following goals:
Stability: the system must provide 24/7 reliable service. High Performance: the core system must deliver high performance and reliable service under concurrent load. Elasticity: resources can be smoothly scaled (e.g., using VM, LXC) to handle traffic spikes. No Single Point of Failure: the system avoids any single point of failure. Fault Masking Automation: automatic fault isolation for network, application, or database failures.
Three‑Level Cache
Asynchronous Checks
Heterogeneous Storage
Advantages: simple workflow.
Disadvantages: traffic spikes and high concurrency.
Shopping Cart Payment Scheme
Heterogeneous Solution for the Payment Middle‑Platform
Nginx+LUA Aggregated Business Front‑End Interface Merging
Anti‑Scalping
Multi‑Dimensional User Feature Identification
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