英文:
How to calculate Redis memory usage
问题
我有一个在AWS上的Elasticache Redis实例,我想监视它的内存使用情况,并在超过某个阈值时发送警报。Redis info命令提供了几个与内存相关的指标,包括
used_memory:3651689760
used_memory_human:3.40G
used_memory_rss:3684122624
used_memory_rss_human:3.43G
used_memory_peak:3704319760
used_memory_peak_human:3.45G
used_memory_peak_perc:98.58%
maxmemory:20975001908
maxmemory_human:19.53G
我想根据这些指标计算Redis的总内存使用量,并在使用率超过特定百分比时发送警报。
有人可以提供如何根据info命令输出计算Redis内存使用情况的指导吗?
谢谢您提前的帮助!
英文:
I have an Elasticache Redis instance on AWS and I want to monitor its memory usage and send alerts when it exceeds a certain threshold. The Redis info command provides several memory-related metrics, including
used_memory:3651689760
used_memory_human:3.40G
used_memory_rss:3684122624
used_memory_rss_human:3.43G
used_memory_peak:3704319760
used_memory_peak_human:3.45G
used_memory_peak_perc:98.58%
maxmemory:20975001908
maxmemory_human:19.53G
I would like to calculate the total memory usage of Redis based on these metrics and send an alert when the usage exceeds a specific percentage.
Can anyone provide guidance on how to calculate Redis memory usage based on the info command output?
Thank you in advance for your help!
答案1
得分: 1
INFO MEMORY
提供与内存相关指标的相关信息。要查找当前内存使用情况,您可以使用 used_memory_human
,在您的情况下是 3.4GB
。
您可以使用以下命令查找内存使用情况:
redis-cli -h 127.0.0.1 -p 6379 INFO MEMORY | grep used_memory_human
used_memory_human:948.84K
有几种方式可以在此基础上实现警报:
您可以每隔大约5分钟运行Python或shell脚本,并触发电子邮件警报;您还可以设置Prometheus和Alertmanager来实现相同的功能。
英文:
INFO MEMORY
gives you the relevant information about memory related metrics. For finding out the current memory utilization, you can use used_memory_human
which in your case is 3.4GB
You can use the following command to find the memory usage:
redis-cli -h 127.0.0.1 -p 6379 INFO MEMORY | grep used_memory_human
used_memory_human:948.84K
There are several ways by which your can implement the alerting on top of this:
You can have a Python or shell script run every 5 minutes or so and trigger and email alert; you can also setup prometheus and alertmanager for the same
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