Learn about the top caching patterns and how to implement them
In many business applications, even the slightest performance edge has a profound business impact. Fractions of a second can mean the difference between a sale or a page bounce, a loyal customer or attrition to the competition – and ultimately success or failure.
Thousands of organizations use caching with Redis to make their applications as fast as possible.
But caching can be complex. There are many caching design patterns, and it isn’t always easy to understand which one applies for a given application architecture or business goals.
In this solution brief, we explain:
- The primary factors that stifle data performance
- How caching helps to overcome data challenges
- The top five Redis caching patterns
- Their advantages and disadvantages
- When to use them, including real-world examples
- How they work (with architecture diagrams)
- The business impact of choosing an enterprise-grade cache
