Caching Fundamentals
Before delving into Redis caching, let’s understand the basics of caching. Caching involves storing frequently accessed or computationally expensive data in a fast and easily accessible location, such as memory, to speed up subsequent requests. By storing data in a cache, applications can avoid the need to fetch data from slower data sources, such as databases or external APIs, thereby improving response times and reducing server load.
Redis Cache
As we all know caching refers to storing frequently used or dealt-up data in temporary high-speed storage to reduce the latency of a system. So we do the same when happens inside a Redis cluster. Therefore, Redis Cache supercharges application performance by utilizing in-memory data caching. By storing frequently accessed data in memory, Redis Cache dramatically reduces response times and database load, resulting in faster and more scalable applications.
Important Topics for the Redis Cache
- What is Cache
- Caching Fundamentals
- Caching in Redis
- Best Practices for Redis Caching
- Implementation of caching in Redis
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