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j4flmao/agent-skills/high-scale-ecommerce

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PublishedNovember 5, 2026 at 07:37 AM
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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 TD
SEO[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/v1
kind: Deployment
metadata:
name: checkout-service
spec:
replicas: 20
selector:
matchLabels:
app: checkout
template:
metadata:
labels:
app: checkout
spec:
containers:
- name: checkout-app
image: registry/checkout:latest
resources:
limits:
cpu: "4"
memory: "8Gi"
env:
- name: SHARDING_STRATEGY
value: "REGION_BASED"
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