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@ -11,18 +11,22 @@ Learn more at: https://kubernetes.io/docs/tasks/debug-application-cluster/loggin
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## Troubleshooting
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In Kubernetes clusters in version 1.10.0 or later, fluentd-gcp DaemonSet can be
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manually scaled. This is useful e.g. when the applications running in the
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cluster are sending a large volume of logs (i.e. over 100kB/s), causing
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fluentd-gcp to fail with OOM errors. Conversely, if the applications aren't
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generating a lot of logs, it may be useful to reduce the amount of resources
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consumed by fluentd-gcp, making them available to other applications. To learn
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manually scaled. This is useful e.g. when applications running in the cluster
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are sending a large volume of logs (i.e. over 100kB/s), causing fluentd-gcp to
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fail with OutOfMemory errors. Conversely, if the applications aren't generating
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a lot of logs, it may be useful to reduce the amount of resources consumed by
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fluentd-gcp, making these resources available to other applications. To learn
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more about Kubernetes resource requests and limits, see the official
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documentation ([CPU][cpu], [memory][memory]). The amount of resources requested
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by fluentd-gcp on every node in the cluster can be fetched by running following
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command:
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```
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$ kubectl get ds -n kube-system -l k8s-app=fluentd-gcp -o custom-columns=NAME:.metadata.name,CPU_REQUEST:.spec.template.spec.containers[].resources.requests.cpu,MEMORY_REQUEST:.spec.template.spec.containers[].resources.requests.memory,MEMORY_LIMIT:.spec.template.spec.containers[].resources.limits.memory
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$ kubectl get ds -n kube-system -l k8s-app=fluentd-gcp \
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-o custom-columns=NAME:.metadata.name,\
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CPU_REQUEST:.spec.template.spec.containers[].resources.requests.cpu,\
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MEMORY_REQUEST:.spec.template.spec.containers[].resources.requests.memory,\
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MEMORY_LIMIT:.spec.template.spec.containers[].resources.limits.memory
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```
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This will display an output similar to the following:
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