• Table of contents
• Demo scenario
  • E-commerce website
  • Product catalog
    • Read-through
    • Write-through
  • Price management
    • Read-Through
  • Stocks management
    • Read-through
    • Write-through

Demo scenario¶

E-commerce website¶

ECommerce website depending only on Redis to garanty performances for end-users experience.

Product catalog¶

Products are stored in MongoDB. Which is slow and expensive.

Read-through¶

• Add a connection to Mongo database
• Add a Read-Through rule with transformation to fetch products from Mongo to Redis on demand
• Add a long TTL to Redis stored products
• Add auto-refresh in Redis products on TTL expiration
• Add a Redis Query Engine index to search the products
• Add prefetch to prefetch the catalog in Redis at startup and make search more meaningful

Write-through¶

When a change is made the in the online catalog, it needs to be immediately reflected in the backoffice.

Price management¶

Prices are managed in a PostgreSQL database from a legacy system.

Read-Through¶

• Add a PostgreSQL connection
• Add a Read-Through rule with transformation to fetch product prices
• Add auto-refresh in Redis stocks on read operation (first read is fast but maybe stale, second read is slower but accurate)
• Add prefetch to prefetch the stocks in Redis at startup

Stocks management¶

Stocks are managed by a REST API microservice to automatically trigger alerts and restock

Read-through¶

Write-through¶

• Add a REST API webservice connector
• Add a write-through rule to update the stock management system synchronously