Alex DeBrie's blog post, updated in September 2023, explores six common caching design patterns essential for implementing an effective caching strategy. The patterns include local browser caching, local backend caching, read-aside caching, write-aside caching, and read-through and write-through caching. Local browser caching leverages user storage for web applications, while local backend caching allows backend servers to store frequently accessed data in-memory. Read-aside caching, or lazy loading, and write-aside caching both utilize centralized caches with the latter proactively storing data upon writing. Read-through and write-through caches streamline data access by handling it entirely through the cache, with Content Delivery Networks and DynamoDB Accelerator as examples. Each pattern offers unique benefits and challenges, with considerations around simplicity, cache hit rates, infrastructure management, and data validity. The blog underscores the importance of selecting an appropriate caching strategy to optimize performance and invites readers to explore Momento Cache for centralized, read-aside caching solutions.