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Redis Caching & Messaging (Pub/Sub, Streams) · Lesson

Advanced Cache Patterns

Explore Read-Through, Write-Back, and Refresh-Ahead caching patterns for complex scenarios.

Beyond Basic Caching

We've covered basic caching patterns like Cache-Aside. But what about more complex scenarios?

Advanced patterns help us handle specific challenges like data freshness, write performance, and maintaining consistency in distributed systems.

Understanding Read-Through

The Read-Through pattern makes the cache responsible for fetching data from the underlying data store if it's not present.

  • The application asks the cache for data.
  • If a cache miss occurs, the cache fetches data from the database.
  • The cache then stores this data and returns it to the application.
  • The application always interacts with the cache, simplifying its logic.

All lessons in this course

  1. Advanced Cache Patterns
  2. Session Management with Redis
  3. Rate Limiting and Anti-Patterns
  4. Cache Invalidation Strategies
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