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Merge pull request #37462 from joemcmahon/31483-unclear-monitoring-wording
31483: clarify monitoring language
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content/en/docs/tasks/debug/debug-cluster/resource-usage-monitoring.md

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@@ -57,10 +57,17 @@ respond to these metrics by automatically scaling or adapting the cluster
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based on its current state, using mechanisms such as the Horizontal Pod
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Autoscaler. The monitoring pipeline fetches metrics from the kubelet and
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then exposes them to Kubernetes via an adapter by implementing either the
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`custom.metrics.k8s.io` or `external.metrics.k8s.io` API.
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`custom.metrics.k8s.io` or `external.metrics.k8s.io` API.
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[Prometheus](https://prometheus.io), a CNCF project, can natively monitor Kubernetes, nodes, and Prometheus itself.
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Full metrics pipeline projects that are not part of the CNCF are outside the scope of Kubernetes documentation.
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Integration of a full metrics pipeline into your Kubernetes implementation is outside
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the scope of Kubernetes documentation because of the very wide scope of possible
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solutions.
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The choice of monitoring platform depends heavily on your needs, budget, and technical resources.
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Kubernetes does not recommend any specific metrics pipeline; [many options](https://landscape.cncf.io/card-mode?category=monitoring&project=graduated,incubating,member,no&grouping=category&sort=stars) are available.
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Your monitoring system should be capable of handling the [OpenMetrics](https://openmetrics.io/) metrics
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transmission standard, and needs to chosen to best fit in to your overall design and deployment of
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your infrastructure platform.
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## {{% heading "whatsnext" %}}
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