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Rename Google Cloud Logging doc apppripriately
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# Logging
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# Cluster Level Logging to Google Cloud Logging
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A Kubernetes cluster will typically be humming along running many system and application pods. How does the system administrator collect, manage and query the logs of the system pods? How does a user query the logs of their application which is composed of many pods which may be restarted or automatically generated by the Kubernetes system? These questions are addressed by the Kubernetes **cluster level logging** services.
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@ -193,24 +193,4 @@ This page has touched briefly on the underlying mechanisms that support gatherin
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Some of the material in this section also appears in the blog article [Cluster Level Logging with Kubernetes](http://blog.kubernetes.io/2015/06/cluster-level-logging-with-kubernetes.html).
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## Logging with Fluentd and Elastiscsearch
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To enable Elasticsearch based logging of the stdout and stderr output of every Docker container in
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a Kubernetes cluster set the shell environment variables
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``KUBE_ENABLE_NODE_LOGGING`` to ``true`` and ``KUBE_LOGGING_DESTINATION`` to ``elasticsearch``.
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e.g. in bash:
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```
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export KUBE_ENABLE_NODE_LOGGING=true
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export KUBE_LOGGING_DESTINATION=elasticsearch
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```
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This will instantiate a [Fluentd](http://www.fluentd.org/) instance on each node which will
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collect all the Docker container log files. The collected logs will
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be targeted at an [Elasticsearch](http://www.elasticsearch.org/) instance assumed to be running on the
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local node and accepting log information on port 9200. This can be accomplished
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by writing a pod specification and service specification to define an
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Elasticsearch service (more information to follow shortly in the contrib directory).
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[]()
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