blocks|key|429603|text|type|unstyled|depth|inlineStyleRanges|entityRanges|data|429604|实例过去24小时的平均内存使用量|blockquote|429605|429606|429607|您可以使用avg_over_time|offset|length|style|CODE|429608|100+*+(1+-+((avg_over_time(node_memory_MemFree[24h])+%2B+avg_over_time(node_memory_Cached[24h])+%2B+avg_over_time(node_memory_Buffers[24h]))+/+avg_over_time(node_memory_MemTotal[24h])))|code-block|syntax|javascript|429609|CPU的|429610|，我可以使用irate。|429611|429612|429613|irate只查看最后两个示例，该查询与您拥有的模式数成反比，并且将是常量(在我的内核中，它始终是0.1+)。你想要的|429614|100+-+(avg+by+(instance)+(rate(node_cpu{job="node",mode="idle"}[5m]))+*+100)|429615|请注意，这是5分钟移动平均值，您可以将[5m]更改为您正在寻找的任何时间段，例如[24h]。|429616|entityMap^0|0|0|0|0|5|D|0|0|0|0|0|0|0|5|0|0|J|4|14|5|0^^$0|@$1|2|3|-4|4|5|6|14|7|@]|8|@]|9|$]]|$1|A|3|B|4|C|6|15|7|@]|8|@]|9|$]]|$1|D|3|-4|4|5|6|16|7|@]|8|@]|9|$]]|$1|E|3|-4|4|5|6|17|7|@]|8|@]|9|$]]|$1|F|3|G|4|5|6|18|7|@$H|19|I|1A|J|K]]|8|@]|9|$]]|$1|L|3|M|4|N|6|1B|7|@]|8|@]|9|$O|P]]|$1|Q|3|R|4|5|6|1C|7|@]|8|@]|9|$]]|$1|S|3|T|4|C|6|1D|7|@]|8|@]|9|$]]|$1|U|3|-4|4|5|6|1E|7|@]|8|@]|9|$]]|$1|V|3|-4|4|5|6|1F|7|@]|8|@]|9|$]]|$1|W|3|X|4|5|6|1G|7|@$H|1H|I|1I|J|K]]|8|@]|9|$]]|$1|Y|3|Z|4|N|6|1J|7|@]|8|@]|9|$O|P]]|$1|10|3|11|4|5|6|1K|7|@$H|1L|I|1M|J|K]|$H|1N|I|1O|J|K]]|8|@]|9|$]]|$1|12|3|-4|4|5|6|1P|7|@]|8|@]|9|$]]]|13|$]]

<blockquote>
 average memory usage for instances over the past 24 hours
</blockquote>

You can use <code>avg_over_time</code>:

<pre><code>100 * (1 - ((avg_over_time(node_memory_MemFree[24h]) + avg_over_time(node_memory_Cached[24h]) + avg_over_time(node_memory_Buffers[24h])) / avg_over_time(node_memory_MemTotal[24h])))
</code></pre>

<blockquote>
 For CPU, I was able to use irate
</blockquote>

<code>irate</code> only looks at the last two samples, and that query is the inverse of how many modes you have and will be constant (it's always 0.1 on my kernel). You want

<pre><code>100 - (avg by (instance) (rate(node_cpu{job="node",mode="idle"}[5m])) * 100)
</code></pre>

Note that this is a 5 minute moving average and you can change <code>[5m]</code> to whatever period of time you are looking for such as <code>[24h]</code>.

blocks|key|429628|text|更新命令|type|unstyled|depth|inlineStyleRanges|entityRanges|data|429629|CPU使用率:|offset|length|style|BOLD|429630|(1+-+avg(irate(node_cpu_seconds_total{mode="idle"}[10m]))+by+(instance))+*+100|code-block|syntax|javascript|429631|内存使用率:|429632|100+*+(1+-+((avg_over_time(node_memory_MemFree_bytes[10m])+%2B+avg_over_time(node_memory_Cached_bytes[10m])+%2B+avg_over_time(node_memory_Buffers_bytes[10m]))+/+avg_over_time(node_memory_MemTotal_bytes[10m])))|429633|entityMap^0|0|0|7|0|0|0|6|0|0^^$0|@$1|2|3|4|5|6|7|S|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|T|8|@$D|U|E|V|F|G]]|9|@]|A|$]]|$1|H|3|I|5|J|7|W|8|@]|9|@]|A|$K|L]]|$1|M|3|N|5|6|7|X|8|@$D|Y|E|Z|F|G]]|9|@]|A|$]]|$1|O|3|P|5|J|7|10|8|@]|9|@]|A|$K|L]]|$1|Q|3|-4|5|6|7|11|8|@]|9|@]|A|$]]]|R|$]]

Update commands

CPU Usage :

<pre><code>(1 - avg(irate(node_cpu_seconds_total{mode="idle"}[10m])) by (instance)) * 100
</code></pre>

Memory Usage :

<pre><code>100 * (1 - ((avg_over_time(node_memory_MemFree_bytes[10m]) + avg_over_time(node_memory_Cached_bytes[10m]) + avg_over_time(node_memory_Buffers_bytes[10m])) / avg_over_time(node_memory_MemTotal_bytes[10m])))
</code></pre>

blocks|key|1941155|text|也可以通过账号进行查询；|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1941156|的CPU使用率|offset|length|style|BOLD|1941157|#Average
100+-+(avg+by+(instance)+(irate(windows_cpu_time_total{job=~"dev",mode="idle"}[2m]))+*+100)
#Minimum
100+-+(max+by+(instance)+(irate(windows_cpu_time_total{job=~"dev",mode="idle"}[2m]))+*+100)
#Maximum
100+-+(min+by+(instance)+(irate(windows_cpu_time_total{job=~"dev",mode="idle"}[2m]))+*+100)|code-block|syntax|javascript|1941158|Linux的CPU使用率|1941159|#Average
100+-+(avg+by+(instance)+(irate(node_cpu_seconds_total{job="$job",mode="idle"}[5m]))+*+100)
#Minimum
100+-+(max+by+(instance)+(irate(node_cpu_seconds_total{job="$job",mode="idle"}[5m]))+*+100)
#Maximum
100+-+(min+by+(instance)+(irate(node_cpu_seconds_total{job="$job",mode="idle"}[5m]))+*+100)|1941160|Memory的内存使用情况|1941161|#Average
100.0+-+100+*+avg_over_time(windows_os_physical_memory_free_bytes{job=~"prod"}[30d])+/+avg_over_time(windows_cs_physical_memory_bytes{job=~"prod"}[30d])
#Maximum
100.0+-+100+*+min_over_time(windows_os_physical_memory_free_bytes{job=~"prod"}[30d])+/+min_over_time(windows_cs_physical_memory_bytes{job=~"prod"}[30d])
#Minimum
100.0+-+100+*+max_over_time(windows_os_physical_memory_free_bytes{job=~"prod"}[30d])+/+max_over_time(windows_cs_physical_memory_bytes{job=~"prod"}[30d])|1941162|Linux的内存使用情况|1941163|#Avarege:
100+*+(1+-+((avg_over_time(node_memory_MemFree_bytes{job=~"prod"}[30d])+%2B+avg_over_time(node_memory_Cached_bytes{job=~"prod"}[30d])+%2B+avg_over_time(node_memory_Buffers_bytes{job=~"prod"}[30d]))+/+avg_over_time(node_memory_MemTotal_bytes{job=~"prod"}[30d])))

#Maximum:
100+*+(1+-+((min_over_time(node_memory_MemFree_bytes{job=~"prod"}[30d])+%2B+min_over_time(node_memory_Cached_bytes{job=~"prod"}[30d])+%2B+min_over_time(node_memory_Buffers_bytes{job=~"prod"}[30d]))+/+min_over_time(node_memory_MemTotal_bytes{job=~"prod"}[30d])))

#Minimum
100+*+(1+-+((max_over_time(node_memory_MemFree_bytes{job=~"prod"}[30d])+%2B+max_over_time(node_memory_Cached_bytes{job=~"prod"}[30d])+%2B+max_over_time(node_memory_Buffers_bytes{job=~"prod"}[30d]))+/+max_over_time(node_memory_MemTotal_bytes{job=~"prod"}[30d])))|1941164|注意：-+{job=~"prod"}，是帐户名。您可以使用您的帐户名称|1941165|entityMap^0|0|1|6|0|0|0|5|6|6|0|0|0|6|7|6|0|0|0|5|6|6|0|0|0|Z|0^^$0|@$1|2|3|4|5|6|7|12|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|13|8|@$D|14|E|15|F|G]]|9|@]|A|$]]|$1|H|3|I|5|J|7|16|8|@]|9|@]|A|$K|L]]|$1|M|3|N|5|6|7|17|8|@$D|18|E|19|F|G]|$D|1A|E|1B|F|G]]|9|@]|A|$]]|$1|O|3|P|5|J|7|1C|8|@]|9|@]|A|$K|L]]|$1|Q|3|R|5|6|7|1D|8|@$D|1E|E|1F|F|G]|$D|1G|E|1H|F|G]]|9|@]|A|$]]|$1|S|3|T|5|J|7|1I|8|@]|9|@]|A|$K|L]]|$1|U|3|V|5|6|7|1J|8|@$D|1K|E|1L|F|G]|$D|1M|E|1N|F|G]]|9|@]|A|$]]|$1|W|3|X|5|J|7|1O|8|@]|9|@]|A|$K|L]]|$1|Y|3|Z|5|6|7|1P|8|@$D|1Q|E|1R|F|G]]|9|@]|A|$]]|$1|10|3|-4|5|6|7|1S|8|@]|9|@]|A|$]]]|11|$]]

Also, we can query with accounts;
CPU Usage for Windows
<pre><code>#Average
100 - (avg by (instance) (irate(windows_cpu_time_total{job=~&quot;dev&quot;,mode=&quot;idle&quot;}[2m])) * 100)
#Minimum
100 - (max by (instance) (irate(windows_cpu_time_total{job=~&quot;dev&quot;,mode=&quot;idle&quot;}[2m])) * 100)
#Maximum
100 - (min by (instance) (irate(windows_cpu_time_total{job=~&quot;dev&quot;,mode=&quot;idle&quot;}[2m])) * 100)
</code></pre>
CPU Usage for Linux
<pre><code>#Average
100 - (avg by (instance) (irate(node_cpu_seconds_total{job=&quot;$job&quot;,mode=&quot;idle&quot;}[5m])) * 100)
#Minimum
100 - (max by (instance) (irate(node_cpu_seconds_total{job=&quot;$job&quot;,mode=&quot;idle&quot;}[5m])) * 100)
#Maximum
100 - (min by (instance) (irate(node_cpu_seconds_total{job=&quot;$job&quot;,mode=&quot;idle&quot;}[5m])) * 100)
</code></pre>
Memory Usage for Windows
<pre><code>#Average
100.0 - 100 * avg_over_time(windows_os_physical_memory_free_bytes{job=~&quot;prod&quot;}[30d]) / avg_over_time(windows_cs_physical_memory_bytes{job=~&quot;prod&quot;}[30d])
#Maximum
100.0 - 100 * min_over_time(windows_os_physical_memory_free_bytes{job=~&quot;prod&quot;}[30d]) / min_over_time(windows_cs_physical_memory_bytes{job=~&quot;prod&quot;}[30d])
#Minimum
100.0 - 100 * max_over_time(windows_os_physical_memory_free_bytes{job=~&quot;prod&quot;}[30d]) / max_over_time(windows_cs_physical_memory_bytes{job=~&quot;prod&quot;}[30d])
</code></pre>
Memory Usage for Linux
<pre><code>#Avarege:
100 * (1 - ((avg_over_time(node_memory_MemFree_bytes{job=~&quot;prod&quot;}[30d]) + avg_over_time(node_memory_Cached_bytes{job=~&quot;prod&quot;}[30d]) + avg_over_time(node_memory_Buffers_bytes{job=~&quot;prod&quot;}[30d])) / avg_over_time(node_memory_MemTotal_bytes{job=~&quot;prod&quot;}[30d])))

#Maximum:
100 * (1 - ((min_over_time(node_memory_MemFree_bytes{job=~&quot;prod&quot;}[30d]) + min_over_time(node_memory_Cached_bytes{job=~&quot;prod&quot;}[30d]) + min_over_time(node_memory_Buffers_bytes{job=~&quot;prod&quot;}[30d])) / min_over_time(node_memory_MemTotal_bytes{job=~&quot;prod&quot;}[30d])))

#Minimum
100 * (1 - ((max_over_time(node_memory_MemFree_bytes{job=~&quot;prod&quot;}[30d]) + max_over_time(node_memory_Cached_bytes{job=~&quot;prod&quot;}[30d]) + max_over_time(node_memory_Buffers_bytes{job=~&quot;prod&quot;}[30d])) / max_over_time(node_memory_MemTotal_bytes{job=~&quot;prod&quot;}[30d])))
</code></pre>
Note:- {job=~&quot;prod&quot;}, is account name. you can use your account names

How do I write a query that outputs average memory usage for instances over the past 24 hours?
The following query displays the current memory usage

<pre><code>100 * (1 - ((node_memory_MemFree + node_memory_Cached + node_memory_Buffers) / node_memory_MemTotal))
</code></pre>

For CPU, I was able to use irate

<pre><code>100 * (1 - avg(irate(node_cpu[24h])) BY (instance))
</code></pre>

How do I use irate and avg for memory?

Average Memory Usage Query - Prometheus

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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如何编写一个查询，输出实例在过去24小时内的平均内存使用情况？下面的查询显示当前的内存使用情况100 * (1 - ((node_memory_MemFree + node_memory_Cached + node_memory_Buffers) / node_memory_MemTotal))对于CPU，我可以使用i...

问平均内存使用率查询- Prometheus
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