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🛒 Retail & E-commerce · Deployment · Pro

Flash Sale Scaling Deployment

How an online store survives a flash sale: CDN, a virtual waiting room, autoscaling and a queue in front of the order system.

More Retail & E-commerce templates

Deployment diagrams are part of Pro. Anyone can view this one; generating and editing it needs Pro.

Drawing diagram…

What this diagram shows

  • A waiting room lets shoppers in at a rate the backend can handle
  • Stock is decremented atomically in Redis to prevent overselling
  • Orders are queued and processed asynchronously

Prompt used

Deployment for a flash sale: shoppers hit a CDN serving static pages, a virtual waiting room admits users at a controlled rate, then a load balancer in front of an autoscaling group of web/API servers. Sale stock is held in Redis and decremented atomically, confirmed orders go into a queue (SQS/Kafka) and order workers write to the database at a steady rate. Read replicas serve product pages.

Mermaid code
flowchart TB
  U[Shoppers] --> CDN[CDN - static pages]
  CDN --> WR[Virtual Waiting Room]
  WR -->|Admit at controlled rate| LB[Load Balancer]
  subgraph ASG[Autoscaling group]
    A1[API Server]
    A2[API Server]
    A3[API Server N]
  end
  LB --> A1
  LB --> A2
  LB --> A3
  A1 --> R[(Redis - sale stock, atomic decrement)]
  A2 --> R
  A3 --> R
  A1 --> Q[Order Queue]
  A2 --> Q
  Q --> W[Order Workers]
  W --> DB[(Primary DB)]
  DB --> RR[(Read Replicas)]
  RR --> A3

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