IMPORTANT: No additional bug fixes or documentation updates will be released for this version. For the latest information, see the current release documentation.

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Kubernetes pod metrics

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Kubernetes pod metrics

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If you haven’t already, you need to install and configure Metricbeat to populate the Metrics app with data. For more information, see Ingest metrics.

To ingest metrics from running Kubernetes pods, Metricbeat needs to run as a DaemonSet to monitor multiple pods. For more information, see Running Metricbeat on Kubernetes.

When monitoring Kubernetes pods, you can use autodiscovery to automatically change the configuration settings in response to changes in your pods. Autodiscovery ensures that even when your pod configuration changes, metrics are still collected. To learn how to do this, see Metricbeat autodiscover configuration.

To help you analyze the Kubernetes pod metrics listed on the Inventory page, you can select view filters based on the following predefined metrics or you can add custom metrics.

CPU Usage	Average of `kubernetes.pod.cpu.usage.node.pct`.
Memory Usage	Average of `kubernetes.pod.memory.usage.node.pct`.
Inbound Traffic	Derivative of the maximum of `kubernetes.pod.network.rx.bytes` scaled to a 1 second rate.
Outbound Traffic	Derivative of the maximum of `kubernetes.pod.network.tx.bytes` scaled to a 1 second rate.

For information about which required fields the Metrics app uses to display Kubernetes pods metrics, see the Metrics field reference.

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