Add alerts to notify vertical or horizontal scaling #2866
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Converting this PR to draft, as we have to add/update the runbooks links at |
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Created a PR: openshift/runbooks#217, to add the new files to the runbooks repo |
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| runbook_url: https://github.com/openshift/runbooks/blob/master/alerts/openshift-container-storage-operator/CephMdsCpuUsageHighNeedsHorizontalScaling.md | ||
| severity_level: warning | ||
| expr: | | ||
| (label_replace(pod:container_cpu_usage:sum{pod=~"rook-ceph-mds.*"}/ on(pod, namespace) kube_pod_resource_limit{resource='cpu',pod=~"rook-ceph-mds.*"}, "ceph_daemon", "mds.$1", "pod", "rook-ceph-mds-(.*)-(.*)") + on (ceph_daemon, namespace) group_left(managedBy) (0 * (ceph_mds_metadata ==1)) > 0.67) and on (ceph_daemon, namespace, managedBy) (rate(ceph_mds_request[1h]) > 1000) |
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Can you add a bit of explanation about the expression?
- Why are we comparing with 0.67? 1000?
- Why does
>1000mean HorizontalScaling and<1000mean VerticalScaling for the same expression?
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High request leading to high cpu usage can be helped with offloading the it to multiple mds, and low requests but still high CPU usage might be because of lack of resources. That's what I understand from the alert
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@umangachapagain , @weirdwiz , we have made a change where we are not changing the MDSCPUUsage alert expression (except for a minor cosmetic change), but we are changing the description and runbook_url link according to the mds request load.
High request leading to high cpu usage can be helped with offloading the it to multiple mds, and low requests but still high CPU usage might be because of lack of resources. That's what I understand from the alert
@weirdwiz , yes you are absolutely right.
Why are we comparing with 0.67? 1000?
About the 0.67 not really sure, as this was already there for the existing MDSCPUUsageHigh alert, which we never changed. A logical conclusion I draw here is, if you are using more than ≈70%-ntage of CPU for past 6 hours, then it is considered as a sign of high CPU usage.
Why does >1000 mean HorizontalScaling and <1000 mean VerticalScaling for the same expression?
Now by keeping 67% as our CPU threshold, the number 1000 was reached during testing, when (approx) 1000 or more requests were hitting the MD server, we saw a gradual CPU usage rise and in a 1hr window frame it reaches the CPU threshold.
That means if the rate of mds-requests is approx 1000 reqs / sec for an hour we see CPU usage crosses 67% threshold.
PS: please see the new changes, here we are not doing much modification to the expression, but making description and runbook_url text changes according to the query (for past 6hrs rate query: rate(ceph_mds_request[6h]))
| annotations: | ||
| description: |- | ||
| Ceph metadata server pod ({{ $labels.pod }}) has high cpu usage. | ||
| Please consider increasing the CPU request for the {{ $labels.pod }} pod as described in the runbook. | ||
| This may help to process more requests and thus evict more items from cache. |
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We should either remove this statement, or word it with more assurity. "This may help" is not a good response to an alert IMO.
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I think incedental affects should be consolidated to the runbooks
| runbook_url: https://github.com/openshift/runbooks/blob/master/alerts/openshift-container-storage-operator/CephMdsCpuUsageHighNeedsHorizontalScaling.md | ||
| severity_level: warning | ||
| expr: | | ||
| (label_replace(pod:container_cpu_usage:sum{pod=~"rook-ceph-mds.*"}/ on(pod, namespace) kube_pod_resource_limit{resource='cpu',pod=~"rook-ceph-mds.*"}, "ceph_daemon", "mds.$1", "pod", "rook-ceph-mds-(.*)-(.*)") + on (ceph_daemon, namespace) group_left(managedBy) (0 * (ceph_mds_metadata ==1)) > 0.67) and on (ceph_daemon, namespace, managedBy) (rate(ceph_mds_request[1h]) > 1000) |
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We should think about the delta for calculating the rate, are we countering for short bursts of high requests and then silence, or are we looking at the scenario where there is consistently high request rate?
If it's the latter, the delta will work appropriately
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Here we are looking for a consistent high requests rate.
Now the delta is brought up to 6 hrs (the time of waiting period). We now moved the mds-request rate query to the annotation part, so that at the time of it being fired (that is after 6hrs) the rate will give appropriate description and runbook_url link. As you have mentioned (about higher the delta lower the jitter/error-rate), through a 6h delta span we should not have unnecessary variances.
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That makes sense, so we're considering the full time span, only at the moment the link is displayed to the user
rather than flip flopping. Pretty neat
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Now CPU usage high alerts are categorized to TWO different scenarios, First scenario: where we have high CPU usage due to high rate of mds requests coming in: Solution: at this point we need to scale horizontally Second section: where we have only CPU usage high: Solution: at this point we need to add more resources to the existing mds pods, thus scaling vertically. Signed-off-by: Arun Kumar Mohan <amohan@redhat.com>
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Screenshot of a sample alert to show how description and runbook_url link is shown Vertical scaling example Horizontal scaling example |
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Now CPU usage high alerts are categorized to TWO different sections,
First section: where we have high CPU usage due to high MDS requests rate: at this point we need to scale horzontally by adding more mds pods.
Second section: where we have only CPU usage high: at this point we need to add scale vertically by adding more resources (CPU, memory) to the pods.