Excessive memory usage: When there is too much data stored, excessive memory usage can cause system performance to decline or even crash.
Slow queries: When performing complex searches or operations, slow query problems may arise, affecting the system’s response time.
Expired keys not cleaned up in a timely manner: When a large number of expired keys are not cleaned up promptly, it can lead to high memory usage and affect the system’s performance.
Uneven cluster: When using a Redis cluster, there may be a situation where data distribution is uneven, leading to certain nodes being overloaded, impacting system performance.
Network delay: Slow network connection can impact the performance of Redis, resulting in longer response times for requests.
Frequent persistent operations: Repeated persistent operations may affect the performance of Redis, and performance can be optimized by configuring the persistence strategy appropriately.
High levels of concurrent access: When the system experiences a high volume of concurrent access, it may lead to a decrease in Redis performance, which can be improved by optimizing the program code or adding more nodes.
