SLOWLOG GET
command to list the slow operations. This can help you understand if specific commands are causing disk I/O bottlenecks.iostat
command (on Unix-like systems) to monitor disk I/O wait and service times. High wait times can indicate disk I/O bottlenecks.save
directives in the configuration file. For AOF, if appendfsync
is set to always
, consider changing it to everysec
to reduce disk I/O.INFO memory
to check memory usage. High memory usage can lead to swapping, which severely impacts disk I/O. If swapping is occurring, consider adding more memory or reducing memory usage by adjusting data eviction policies with the maxmemory-policy
setting.MEMORY USAGE <key>
to check the memory footprint of your largest keys. Large keys, especially lists, sets, or hashes, can lead to inefficient operations that impact disk I/O during persistence.client-output-buffer-limit
settings if necessary.echo never > /sys/kernel/mm/transparent_hugepage/enabled
to disable it.no-appendfsync-on-rewrite
Option: If AOF and RDB persistence are both enabled, enabling no-appendfsync-on-rewrite
can reduce disk I/O by avoiding simultaneous AOF rewrite and RDB snapshot operations.bgrewriteaof
command can be manually triggered during low traffic periods. This rewrites the AOF file to optimize it and can reduce disk I/O if the file size is significantly reduced.MONITOR
(cautiously, as it can reduce performance) to observe real-time command execution. Look for patterns that cause excessive or unnecessary disk I/O and optimize your application's data access patterns accordingly.INFO stats
to Check Command Stats: This can give you insight into the commands being processed and help identify any commands contributing to the disk I/O bottleneck.Each of these actions should be taken based on the specific context and configuration of your Redis setup, and the impact of changes should be carefully monitored.
(Perfect for DevOps & SREs)
(Perfect for DevOps & SREs)