Redis is an in-memory data structure store primarily used as a database, cache, and message broker. Due to its in-memory nature, it's generally high-performance, but you might occasionally experience situations where there are spikes in latency.
To mitigate these spikes, you can try the following:
Regularly monitor system metrics like CPU utilization, memory usage, I/O operations, etc., using tools like
Make sure that Redis has enough memory to operate. You can set maxmemory limit in Redis configuration and use an eviction policy (
maxmemory-policy) that makes sense for your use case.
Ensure a quality network connection between your application and Redis server. Changing the client or server location to reduce network latency can help.
If you're using RDB or AOF, consider adjusting the frequency at which data is written to disk to reduce I/O related latency.
Please note that these configurations balance between performance and data safety. Make sure you choose based on your application's requirement.