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Daniel Kłobuszewski 2018-02-22 09:59:16 +01:00
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cluster/addons/fluentd-gcp/README.md
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@ -11,18 +11,22 @@ Learn more at: https://kubernetes.io/docs/tasks/debug-application-cluster/loggin
## Troubleshooting
In Kubernetes clusters in version 1.10.0 or later, fluentd-gcp DaemonSet can be
manually scaled. This is useful e.g. when the applications running in the
cluster are sending a large volume of logs (i.e. over 100kB/s), causing
fluentd-gcp to fail with OOM errors. Conversely, if the applications aren't
generating a lot of logs, it may be useful to reduce the amount of resources
consumed by fluentd-gcp, making them available to other applications. To learn
manually scaled. This is useful e.g. when applications running in the cluster
are sending a large volume of logs (i.e. over 100kB/s), causing fluentd-gcp to
fail with OutOfMemory errors. Conversely, if the applications aren't generating
a lot of logs, it may be useful to reduce the amount of resources consumed by
fluentd-gcp, making these resources available to other applications. To learn
more about Kubernetes resource requests and limits, see the official
documentation ([CPU][cpu], [memory][memory]). The amount of resources requested
by fluentd-gcp on every node in the cluster can be fetched by running following
command:
```
$ 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
$ 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
```
This will display an output similar to the following: