AWS EFS CloudWatch指标totaliobytes/datareadiobytes max stat显示了1.05万的上限
我正在收集使用AWS EFS（Amazon弹性文件系统）的应用程序的吞吐量指标。我的问题是：为什么我的CloudWatch指标表明我的EFS系统上限的最大统计数据是〜105m？
最大统计数据的示例图/datareadiobytes “
这些统计总和”的总和显示得更高（GBS）：
总二虫/datareadiobytes的示例图
尚不清楚这105m来自哪里，我的应用程序到底是什么文件系统吞吐量每秒。
我已经阅读了EFS官方文档，包括 performance href =“ https://docs.aws.amazon.com/efs/latest/ug/performance-tips.html” rel =“ nofollow noreferrer”>提示，指标解释，但它们似乎都没有提供答案。性能链接确实提到，EFS系统的存储使用量很少，但我的应用程序使用超过200GB的EFS系统有一个1M的阈值（但值得注意的是它是较低的）。
我还尝试配置吞吐量，但似乎没有什么不同。
I'm collecting throughput metrics of my application that uses AWS EFS (Amazon Elastic File System). My question is: why my CloudWatch metrics shows that the max stat of TotalIOBytes/DataReadIOBytes of my EFS system caps at ~1.05M?
Sample graph of the Max stat of TotalIOBytes/DataReadIOBytes
While the sum of these stats shows much higher (GBs):
Sample graph of the Sum stat of TotalIOBytes/DataReadIOBytes
It's not clear where does this 1.05M come from and what exactly is my application's file system throughput per second.
I have read through EFS official docs including performance, tips, limits and metrics explanation but none of them seems to provide an answer. The performance link does mention that there is a 1M threshold (but also worth noting that it is lower-bound) for EFS system that has very little storage usage but my application uses more than 200GB.
I also tried configuring provisioned throughput but it didn't seem to make a difference.
There is a seemingly very similar question asked in here.
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该指标没有报告吞吐量（每秒字节），但它是报告字节。
来自文档
使用总和统计量，图上的每个点显示了一定时间段内的字节量（在图表中定义，但在屏幕截图中不可见）。而最大统计量是此期间最大操作的大小。
示例情况：
在这种情况下，
this metric is not reporting throughput (Bytes per seconds), it's reporting Bytes.
from the documentation linked in the question
Using the Sum statistic, each point on the graph is showing the amount of bytes for a certain period of time (defined in your chart, but not visible in the screenshots). While the Maximum statistic is the size of the largest operation during such period.
Example situation:
In this case, we may see