This comment has been minimized. I run a Prometheus instance that evaluates rules every 10 seconds. 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. Not sure it is Prometheus or we are trying it wrong. 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"} … 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. Now that the service is running, we have to create the Prometheus integration in order to get the metrics. 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. Copy link Quote reply Member ktsaou commented Sep 4, 2017. prometheus CPU calculation #2678. Or the low CPU usage periods in-between spikes. # TYPE node_cpu counter node_cpu_seconds_total{cpu="0",mode="guest"} 0 node_cpu_seconds_total{cpu="0",mode="idle"} … E.g. High CPU load is a common cause of issues. 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 On a Node exporters' metrics page, part of the output is: # HELP node_cpu Seconds the cpus spent in each mode. This would track the CPU usage of each of the pods and the results would be shown in 1 minute rate. Copy link Quote reply Member ktsaou commented Sep 4, 2017. I run a Prometheus instance that evaluates rules every 10 seconds. This query ultimately provides an overall metric for CPU usage, per instance.

10 comments ... ordinary system cpu usage data. relative complexity on both the user and server side vs the system call for the collector. To enable this integration you can follow the instructions in our Using Aiven with Prometheus.

Complete list of metrics available, most of them are self-explanatory: CPU utilization metrics.

This comment has been minimized. 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. Understanding Machine CPU usage.

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. Of course you can adjust the [1m] parameter (and others) as you need. E.g. Sign in to view. Sign in to view. 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. 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 … Or the low CPU usage periods in-between spikes. This query ultimately provides an overall metric for CPU usage, per instance.

(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: High CPU load is a common cause of issues. Please let me know if that helped. Not sure it is Prometheus or we are trying it wrong.

Not sure it is Prometheus or we are trying it wrong. I need CPU usage as the proportion of the maximum CPU usage. Not sure it is Prometheus or we are trying it wrong. 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.