Copy link Quote reply Member ktsaou commented Sep 4, 2017. Complete list of metrics available, most of them are self-explanatory: CPU utilization metrics. Today I want to tackle one apparently obvious thing, which is getting a graph (or numbers) of CPU utilization. You can use container_spec_cpu_shares in place of container_spec_cpu_quota in the original query listed #2026 (comment) to pull what appear to be container CPU requests, but this means you can also potentially see CPU utilization over 100% if usage goes over requests. # TYPE node_cpu counter node_cpu_seconds_total{cpu="0",mode="guest"} 0 node_cpu_seconds_total{cpu="0",mode="idle"} … Copy link Quote reply Member ktsaou commented Sep 4, 2017. Not sure it is Prometheus or we are trying it wrong. Or the low CPU usage periods in-between spikes. (instance_memory_limit_bytes - instance_memory_usage_bytes) / 1024 / 1024 The same expression, but summed by application, could be written like this: sum by (app, proc) ( instance_memory_limit_bytes - instance_memory_usage_bytes ) / 1024 / 1024 If the same fictional cluster scheduler exposed CPU usage metrics like the following for every instance: Not sure it is Prometheus or we are trying it wrong. E.g. This comment has been minimized. I need CPU usage as the proportion of the maximum CPU usage. If I scrape that Prometheus instance every 5s and look at irate() with a resolution that's a multiple of 10 seconds, I will only ever see either the spikes (when rules are evaluated) or the troughs, whereas the actual CPU utilization is actually the average of the two. High CPU load is a common cause of issues.

Or the low CPU usage periods in-between spikes. It does this by a calculation based on the idle metric of the CPU, working out the overall percentage of the other states for a CPU in a 5 minute window and presenting that data per instance. Understanding Machine CPU usage. Understanding Machine CPU usage. # TYPE node_cpu counter node_cpu_seconds_total{cpu="0",mode="guest"} 0 node_cpu_seconds_total{cpu="0",mode="idle"} … I run a Prometheus instance that evaluates rules every 10 seconds. Both queries you cited give the current CPU usage of the namespaces in cores or CPU time (would be nice to know which), but that's not what I need. E.g. I run a Prometheus instance that evaluates rules every 10 seconds. Not sure it is Prometheus or we are trying it wrong. prometheus CPU calculation #2678. Today I want to tackle one apparently obvious thing, which is getting a graph (or numbers) of CPU utilization. Well, you ask prometheus for user cpu and you get it, then …

Please let me know if that helped.

A certain amount of Prometheus's query language is reasonably obvious, but once you start getting into the details and the clever tricks you wind up needing to wrap your mind around how PromQL wants you to think about its world. Sign in to view. Let's look at how to dig into it with Prometheus and the Node exporter. It does this by a calculation based on the idle metric of the CPU, working out the overall percentage of the other states for a CPU in a 5 minute window and presenting that data per instance. 10 comments ... ordinary system cpu usage data. Not sure it is Prometheus or we are trying it wrong.

Hey, thanks for your answer. Also, 100 - (avg (irate(wmi_cpu_time_total{mode="idle"}[5m])) * 100) vs avg (wmi_cpu_percentage) is what I was talking about w.r.t. Now that the service is running, we have to create the Prometheus integration in order to get the metrics. This query ultimately provides an overall metric for CPU usage, per instance. This query ultimately provides an overall metric for CPU usage, per instance. To enable this integration you can follow the instructions in our Using Aiven with Prometheus. Sign in to view. Of course you can adjust the [1m] parameter (and others) as you need. If I scrape that Prometheus instance every 5s and look at irate() with a resolution that's a multiple of 10 seconds, I will only ever see either the spikes (when rules are evaluated) or the troughs, whereas the actual CPU utilization is actually the average of the two. On a Node exporters' metrics page, part of the output is: # HELP node_cpu Seconds the cpus spent in each mode.

Let's look at how to dig into it with Prometheus and the Node exporter. cpu_usage_guest cpu_usage_guest_nice cpu_usage_idle

A certain amount of Prometheus's query language is reasonably obvious, but once you start getting into the details and the clever tricks you wind up needing to wrap your mind around how PromQL wants you to think about its world. Closed vincus opened this issue Sep 4, 2017 ... ordinary system cpu usage data. High CPU load is a common cause of issues. On a Node exporters' metrics page, part of the output is: # HELP node_cpu Seconds the cpus spent in each mode. relative complexity on both the user and server side vs the system call for the collector. This comment has been minimized. This would track the CPU usage of each of the pods and the results would be shown in 1 minute rate.