In order to meet the growing demands for high concurrency, quick response, dynamical scaling, and maintainability in larger-scale internet applications, in this research work, a distributed cluster cache system based on Redis 4.0 has been implemented, which the data can be distributed and scaled into different nodes so the system's linear scalability, load balancing, concurrency, data throughput, and responsiveness can be optimized. The open source tool called CacheCloud is integrated into it so the cluster can be efficiently managed and monitored in real time. The results show that the system reaches high performance and response time of using Query Per Second (QPS) on Redis Cluster is much faster than that on Codis after 10 000 concurrent accesses.