Expose the measurement that kubelet uses to judge that "PLEG is
unhealthy". If we can observe the measurement growing then we can
alert before the node goes unhealthy.
Note that the existing metrics PLEGRelistInterval and
PLEGRelistDuration are poor for this, because when relist() gets
stuck they are never updated.
Signed-off-by: Bryan Boreham <bryan@weave.works>
A preemption is a disruption event that should have a metric so that
the rate of preemption can be assessed. Nodes that are under heavy
preemption may have conflicting workloads or otherwise need attention.
A sudden burst of preemption on a cluster in steady state could
indicate pathological conditions within the scheduler or workload
controllers.
As already mentioned in this issue https://github.com/kubernetes/kubernetes/issues/79286, some metrics like
"running_pod_count" and "running_container_count" uses non-standard prometheus metrics, this change converts them to be
standard prometheus gauges
Minor refactor in kubelet/pleg/generic.go and added some test for ruuning container and running pod metrics
Fixed issues related to github CI pipeline failure
* Updated bazel for new deps
* Add comment for exported metrics variables,RuuningContainerCount and RunningPodCount
* Specify keys explicitly in Guage metric instantation
Fix go lint errors
Replace "+=1" with "++", as reported by go lint
Set container state as a label for the metrics "running_container_count"
As per the metrics name "running_container_count" it should "ideally" be showing
the number of containers in "running" state , but it was showing all the container count, irrespective of the state it is in.
This commit adds a new label "container_running_state" to the metrics "running_container_count", which doesn't change the base metrics but adds the
option to query the metrics with "container_state" such as "running"/"unknown/...
remove unused methods reported by staticcheck
Remove variables while instantiating gauge(vec) which are default set to nil
Convert kubelet metrics(running_pod_count and running_container_count) to standard gauges and added label to running_container_count metrics.
Currently kubelet metrics(running_pod_count and running_container_count) use non-standard prometheus collectors , this change
converts them to standard prometheus gauges. Also this adds a new label(container_state) to running_container_count which does a breakdown of
containers tracked by kubelet based on the containers' state(running/unknown/created/exited).
Set statbility explicitly for running_pod_count and running_container_count and reformat test
register metrics explicitly in test , so that they don't become no-op
buildPodRef creates a unique key with the {podName, namespace, UID}
tuple. By omitting the UID in the metric, duplicate metrics can be sent
to prometheus causing 500's on the /metrics endpoint.
CRI runtimes do not supply cpu nano core usage as it is not part of CRI
stats. However, there are upstream components that still rely on such
stats to function. The previous fix was faulty because the multiple
callers could compete and update the stats, causing
inconsistent/incoherent metrics. This change, instead, creates a
separate call for updating the usage, and rely on eviction manager,
which runs periodically, to trigger the updates. The caveat is that if
eviction manager is completley turned off, no one would compute the
usage.
1) Add suffix (`seconds` or `total`) to metric name
2) Switch Summary metric to Histogram metric (Summary metrics are not
supported completely by prometheus-to-sd and can't be aggregated.)
- Move from the old github.com/golang/glog to k8s.io/klog
- klog as explicit InitFlags() so we add them as necessary
- we update the other repositories that we vendor that made a similar
change from glog to klog
* github.com/kubernetes/repo-infra
* k8s.io/gengo/
* k8s.io/kube-openapi/
* github.com/google/cadvisor
- Entirely remove all references to glog
- Fix some tests by explicit InitFlags in their init() methods
Change-Id: I92db545ff36fcec83afe98f550c9e630098b3135
