170 lines
5.3 KiB
Plaintext
170 lines
5.3 KiB
Plaintext
# This configuration file for Fluentd / td-agent is used
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# to watch changes to Docker log files that live in the
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# directory /var/lib/docker/containers/ and are symbolically
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# linked to from the /varlog directory using names that capture the
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# pod name and container name. These logs are then submitted to
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# Elasticsearch which assumes the installation of the fluentd-elasticsearch plug-in.
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# See https://github.com/uken/fluent-plugin-elasticsearch for
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# more information about the plug-in.
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# Maintainer: Satnam Singh (satnam@google.com)
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#
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# Example
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# =======
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# A line in the Docker log file might like like this JSON:
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#
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# {"log":"2014/09/25 21:15:03 Got request with path wombat\n",
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# "stream":"stderr",
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# "time":"2014-09-25T21:15:03.499185026Z"}
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#
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# The time_format specification below makes sure we properly
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# parse the time format produced by Docker. This will be
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# submitted to Elasticsearch and should appear like:
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# $ curl 'http://elasticsearch-logging:9200/_search?pretty'
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# ...
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# {
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# "_index" : "logstash-2014.09.25",
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# "_type" : "fluentd",
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# "_id" : "VBrbor2QTuGpsQyTCdfzqA",
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# "_score" : 1.0,
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# "_source":{"log":"2014/09/25 22:45:50 Got request with path wombat\n",
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# "stream":"stderr","tag":"docker.container.all",
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# "@timestamp":"2014-09-25T22:45:50+00:00"}
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# },
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# ...
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#
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# The record reformer is used to write the tag to focus on the pod name
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# and the Kubernetes container name. For example a Docker container's logs
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# might be in the directory:
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# /var/lib/docker/containers/997599971ee6366d4a5920d25b79286ad45ff37a74494f262e3bc98d909d0a7b
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# and in the file:
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# 997599971ee6366d4a5920d25b79286ad45ff37a74494f262e3bc98d909d0a7b-json.log
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# where 997599971ee6... is the Docker ID of the running container.
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# The Kubernetes kubelet makes a symbolic link to this file on the host machine
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# in the /var/log/containers directory which includes the pod name and the Kubernetes
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# container name:
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# synthetic-logger-0.25lps-pod_default-synth-lgr-997599971ee6366d4a5920d25b79286ad45ff37a74494f262e3bc98d909d0a7b.log
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# ->
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# /var/lib/docker/containers/997599971ee6366d4a5920d25b79286ad45ff37a74494f262e3bc98d909d0a7b/997599971ee6366d4a5920d25b79286ad45ff37a74494f262e3bc98d909d0a7b-json.log
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# The /var/log directory on the host is mapped to the /varlog directory in the container
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# running this instance of Fluentd and we end up collecting the file:
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# /varlog/containers/synthetic-logger-0.25lps-pod_default-synth-lgr-997599971ee6366d4a5920d25b79286ad45ff37a74494f262e3bc98d909d0a7b.log
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# This results in the tag:
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# varlog.containers.synthetic-logger-0.25lps-pod_default-synth-lgr-997599971ee6366d4a5920d25b79286ad45ff37a74494f262e3bc98d909d0a7b.log
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# The record reformer is used is discard the varlog.containers prefix and
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# the Docker container ID suffix and "kubernetes." is pre-pended giving the
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# final tag which is ingested into Elasticsearch:
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# kubernetes.synthetic-logger-0.25lps-pod_default-synth-lgr
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# This makes it easier for users to search for logs by pod name or by
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# the name of the Kubernetes container regardless of how many times the
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# Kubernetes pod has been restarted (resulting in a several Docker container IDs).
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# TODO: Propagate the labels associated with a container along with its logs
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# so users can query logs using labels as well as or instead of the pod name
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# and container name.
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<source>
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type tail
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format json
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time_key time
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path /varlog/containers/*.log
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pos_file /varlog/es-containers.log.pos
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time_format %Y-%m-%dT%H:%M:%S
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tag reform.*
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read_from_head true
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</source>
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<match reform.**>
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type record_reformer
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enable_ruby true
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tag kubernetes.${tag_suffix[3].split('-')[0..-2].join('-')}
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</match>
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<source>
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type tail
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format none
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path /varlog/monit.log
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pos_file /varlog/gcp-monit.log.pos
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tag monit
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</source>
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<source>
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type tail
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format none
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path /varlog/salt/minion
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pos_file /varlog/gcp-salt.pos
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tag salt
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</source>
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<source>
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type tail
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format none
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path /varlog/startupscript.log
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pos_file /varlog/es-startupscript.log.pos
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tag startupscript
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</source>
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<source>
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type tail
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format none
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path /varlog/docker.log
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pos_file /varlog/es-docker.log.pos
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tag docker
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</source>
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<source>
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type tail
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format none
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path /varlog/etcd.log
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pos_file /varlog/es-etcd.log.pos
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tag etcd
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</source>
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<source>
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type tail
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format none
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path /varlog/kubelet.log
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pos_file /varlog/es-kubelet.log.pos
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tag kubelet
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</source>
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<source>
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type tail
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format none
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path /varlog/kube-apiserver.log
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pos_file /varlog/es-kube-apiserver.log.pos
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tag kube-apiserver
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</source>
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<source>
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type tail
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format none
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path /varlog/kube-controller-manager.log
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pos_file /varlog/es-kube-controller-manager.log.pos
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tag kube-controller-manager
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</source>
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<source>
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type tail
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format none
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path /varlog/kube-scheduler.log
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pos_file /varlog/es-kube-scheduler.log.pos
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tag kube-scheduler
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</source>
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<match **>
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type elasticsearch
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log_level info
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include_tag_key true
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host elasticsearch-logging
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port 9200
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logstash_format true
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# Set the chunk limit the same as for fluentd-gcp.
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buffer_chunk_limit 512K
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# Cap buffer memory usage to 512KB/chunk * 128 chunks = 65 MB
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buffer_queue_limit 128
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flush_interval 5s
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# Never wait longer than 5 minutes between retries.
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max_retry_wait 300
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# Disable the limit on the number of retries (retry forever).
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disable_retry_limit
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</match>
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