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name: high-scale-ecommerce description: Playbook for building a High-Scale E-Commerce platform. metadata: version: "1.0.1"
Purpose
Reference architecture for a high-scale e-commerce platform: edge-rendered programmatic SEO, headless API-first checkout, resilient payment flow, and Kubernetes-based infrastructure.
Agent Protocol
Trigger
User phrases: "high-scale ecommerce playbook", "build a scalable store", "headless checkout architecture", "programmatic SEO storefront".
Input Context
- Product requirements, scale targets, and existing stack.
- Constraints (budget, compliance, team size).
Output Artifact
Architecture guidance and component choices (no files unless requested).
Response Format
Layer: {storefront | checkout | infra}Choice: {component + why}Scale concern: {latency, inventory, peak}
High-Scale E-Commerce Playbook
AUTHORITATIVE. DENSE. MẠNH.
1. Core Architecture
- Programmatic SEO: Edge-rendered, dynamically generated product pages for max indexability.
- Headless Checkout: API-first, decoupled payment flow. Sub-second latency.
- Database Sharding: Write-heavy order flows distributed across physical shards. Zero single point of failure.
2. System Flow
mermaid
%%{init: {"theme": "default", "flowchart": {"useMaxWidth": true}}}%%flowchart TDSEO[Organic SEO Traffic] --> CDN[Edge CDN / WAF]CDN --> LB[Load Balancer]LB --> FE[Headless Frontend]FE --> CO[Checkout Service API]CO --> S1[(DB Shard 1)]CO --> S2[(DB Shard 2)]CO --> S3[(DB Shard 3)]
3. Infrastructure (Kubernetes)
yaml
apiVersion: apps/v1kind: Deploymentmetadata:name: checkout-servicespec:replicas: 20selector:matchLabels:app: checkouttemplate:metadata:labels:app: checkoutspec:containers:- name: checkout-appimage: registry/checkout:latestresources:limits:cpu: "4"memory: "8Gi"env:- name: SHARDING_STRATEGYvalue: "REGION_BASED"