All Six Architecture Layers Explained with Real‑World E‑Commerce Examples

Business Architecture : Defined as the top‑level structure that connects enterprise strategy to digital execution, answering “what the business does and how it creates value.” Core goals are aligning strategic objectives, clarifying business boundaries, optimizing process efficiency, and maximizing value output. Key elements include business domains, core processes, value streams, organizational roles, and business rules. Example: an e‑commerce platform splits domains into User, Product, Transaction, Fulfillment, and Marketing, maps the full‑chain value flow (browse → add to cart → order → payment → review → repurchase), and lists rules such as cross‑store discounts, 7‑day no‑reason returns, and limited‑time flash‑sale constraints.

Product Architecture : Transforms business needs into a product‑level functional structure, answering “how product features support business implementation and satisfy users.” Goals are ensuring usability, extensibility, and consistency while bridging business and application layers. Key elements are product modules, functional hierarchy, module interaction logic, and user journeys. Example: an e‑commerce app defines modules such as Home (recommendations, categories, marketing entry), Product (search, details, reviews), Transaction (cart, order, payment), Personal Center (orders, membership, after‑sale), and Marketing (flash‑sale venue, coupon center). Interaction flow: click product → detail page → add to cart → checkout → payment → order appears in personal center. Function hierarchy: core (order/payment) > secondary (review) > extended (wishlist).

Application Architecture : Designs the software system that implements product functions, answering “which applications realize the product and how they cooperate.” Goals are delivering product features, ensuring loose coupling, high availability, and supporting business growth. Key elements are application components, system interfaces, system boundaries, and deployment relationships. Example: the e‑commerce platform’s application components include User Center (authentication, profile), Product Management (listing, inventory sync), Order System (order creation, status updates), Payment System (third‑party integration), and Logistics System (tracking). Interaction logic: order creation triggers user verification → inventory deduction → payment initiation → upon success, logistics creates delivery order. System boundary: the Order System only manages order lifecycle, delegating payment logic to the Payment System.

Data Architecture : Plans the full data lifecycle, answering “where data comes from, where it is stored, how it is used, and how it is governed.” Goals are ensuring data consistency, accuracy, security, and enabling value extraction such as user profiling and sales analysis. Key elements are data model, storage, flow, governance, and security. Example: the e‑commerce data model includes User (user_id, phone, tier), Product (product_id, price, category), Order (order_id, user_id, amount, status). Storage choices: transactional data in MySQL, behavior logs in Elasticsearch, massive historical data in Hadoop. Data flow: real‑time stream (orders via Kafka to real‑time warehouse for flash‑sale monitoring) and batch stream (daily MySQL sync to offline warehouse for monthly sales analysis). Governance: product code standards, order status enums, regular data‑quality monitoring (e.g., inventory consistency).

Technical Architecture : Provides the underlying technology foundation for application and data layers, answering “what tech stack supports the system to ensure performance and scalability.” Goals are high availability, high concurrency, high performance, reduced technical risk, and lower operational cost. Key elements are technology stack, middleware, infrastructure, deployment architecture, and security architecture. Example: tech stack uses React (PC) / React Native (mobile) for front‑end, Spring Cloud for back‑end microservices; middleware includes Redis (cache hot inventory), Kafka (message decoupling), Nginx (reverse proxy, static caching); infrastructure on Alibaba Cloud ECS, OSS for images, SLB for load balancing; deployment via containerized microservices (Docker + K8s) with business‑domain‑based clusters; security via HTTPS, JWT authentication, and sensitive data (phone numbers) stored in masked form.

Project Architecture : Plans the implementation architecture for a specific project, answering “how to organize resources and execute the design on schedule.” Goals are on‑time, on‑budget, high‑quality delivery aligned with business and product objectives. Key elements are project phases, task breakdown, resource allocation, risk management, and deliverables. Example: a “618 flash‑sale upgrade” project follows phases: requirement research (1 week) → design (2 weeks) → development (3 weeks) → testing (1 week) → gray release (1 day) → full launch + operations. Tasks include front‑end flash‑sale page, back‑end inventory reservation API, real‑time monitoring dashboard, and pre‑scale of clusters. Resources: 1 PM, 1 product manager, 2 front‑end, 3 back‑end, 2 QA, 1 ops. Risks addressed: high‑concurrency (10 万 users load test, rate‑limit rules) and oversell (Redis + MySQL double‑check lock).

Inter‑layer Relationships : The six layers form a hierarchy and dependency network. The source layer (Business Architecture) defines “what” and guides Product Architecture, which in turn guides Application Architecture (“how to build”). Data Architecture supplies data capabilities to Application Architecture, while Technical Architecture provides the underlying platform for both. Project Architecture decomposes all design decisions into executable tasks, ensuring delivery. The article emphasizes that misalignment at any lower layer (e.g., a flash‑sale feature that does not serve the business goal of increasing sales) leads to value loss, and that each layer must be consistent with the business objectives.