Why caching strategy may slow down system performance? What should we think about next?
This paper analyzes the mainstream caching strategies: Read-Through, Write-Through, Cache-Aside, Write-Behind, TTL, and Prefetching, combines them with p90/p99 latency, hit rate, and drive rate metrics, and introduces the advantages of Redis enterprise-level caching in terms of high concurrency, low latency, and scalability, which helps organizations in Hong Kong and Southeast Asia optimize their system performance and costs. Hong Kong and Southeast Asian enterprises to optimize system performance and cost.
