ceph-csi/vendor/k8s.io/kubernetes/cluster/addons/fluentd-gcp/fluentd-gcp-configmap.yaml

kind: ConfigMap
apiVersion: v1
data:
  containers.input.conf: |-
    # This configuration file for Fluentd is used
    # to watch changes to Docker log files that live in the
    # directory /var/lib/docker/containers/ and are symbolically
    # linked to from the /var/log/containers directory using names that capture the
    # pod name and container name. These logs are then submitted to
    # Google Cloud Logging which assumes the installation of the cloud-logging plug-in.
    #
    # Example
    # =======
    # A line in the Docker log file might look like this JSON:
    #
    # {"log":"2014/09/25 21:15:03 Got request with path wombat\\n",
    #  "stream":"stderr",
    #   "time":"2014-09-25T21:15:03.499185026Z"}
    #
    # The record reformer is used to write the tag to focus on the pod name
    # and the Kubernetes container name. For example a Docker container's logs
    # might be in the directory:
    #  /var/lib/docker/containers/997599971ee6366d4a5920d25b79286ad45ff37a74494f262e3bc98d909d0a7b
    # and in the file:
    #  997599971ee6366d4a5920d25b79286ad45ff37a74494f262e3bc98d909d0a7b-json.log
    # where 997599971ee6... is the Docker ID of the running container.
    # The Kubernetes kubelet makes a symbolic link to this file on the host machine
    # in the /var/log/containers directory which includes the pod name and the Kubernetes
    # container name:
    #    synthetic-logger-0.25lps-pod_default-synth-lgr-997599971ee6366d4a5920d25b79286ad45ff37a74494f262e3bc98d909d0a7b.log
    #    ->
    #    /var/lib/docker/containers/997599971ee6366d4a5920d25b79286ad45ff37a74494f262e3bc98d909d0a7b/997599971ee6366d4a5920d25b79286ad45ff37a74494f262e3bc98d909d0a7b-json.log
    # The /var/log directory on the host is mapped to the /var/log directory in the container
    # running this instance of Fluentd and we end up collecting the file:
    #   /var/log/containers/synthetic-logger-0.25lps-pod_default-synth-lgr-997599971ee6366d4a5920d25b79286ad45ff37a74494f262e3bc98d909d0a7b.log
    # This results in the tag:
    #  var.log.containers.synthetic-logger-0.25lps-pod_default-synth-lgr-997599971ee6366d4a5920d25b79286ad45ff37a74494f262e3bc98d909d0a7b.log
    # The record reformer is used is discard the var.log.containers prefix and
    # the Docker container ID suffix and "kubernetes." is pre-pended giving the tag:
    #   kubernetes.synthetic-logger-0.25lps-pod_default-synth-lgr
    # Tag is then parsed by google_cloud plugin and translated to the metadata,
    # visible in the log viewer

    # Json Log Example:
    # {"log":"[info:2016-02-16T16:04:05.930-08:00] Some log text here\n","stream":"stdout","time":"2016-02-17T00:04:05.931087621Z"}
    # CRI Log Example:
    # 2016-02-17T00:04:05.931087621Z stdout F [info:2016-02-16T16:04:05.930-08:00] Some log text here
    <source>
      type tail
      path /var/log/containers/*.log
      pos_file /var/log/gcp-containers.log.pos
      tag reform.*
      read_from_head true
      format multi_format
      <pattern>
        format json
        time_key time
        time_format %Y-%m-%dT%H:%M:%S.%NZ
      </pattern>
      <pattern>
        format /^(?<time>.+) (?<stream>stdout|stderr) [^ ]* (?<log>.*)$/
        time_format %Y-%m-%dT%H:%M:%S.%N%:z
      </pattern>
    </source>

    <filter reform.**>
      type parser
      format /^(?<severity>\w)(?<time>\d{4} [^\s]*)\s+(?<pid>\d+)\s+(?<source>[^ \]]+)\] (?<log>.*)/
      reserve_data true
      suppress_parse_error_log true
      key_name log
    </filter>

    <match reform.**>
      type record_reformer
      enable_ruby true
      tag raw.kubernetes.${tag_suffix[4].split('-')[0..-2].join('-')}
    </match>

    # Detect exceptions in the log output and forward them as one log entry.
    <match raw.kubernetes.**>
      @type detect_exceptions

      remove_tag_prefix raw
      message log
      stream stream
      multiline_flush_interval 5
      max_bytes 500000
      max_lines 1000
    </match>    
  system.input.conf: |-
    # Example:
    # 2015-12-21 23:17:22,066 [salt.state       ][INFO    ] Completed state [net.ipv4.ip_forward] at time 23:17:22.066081
    <source>
      type tail
      format /^(?<time>[^ ]* [^ ,]*)[^\[]*\[[^\]]*\]\[(?<severity>[^ \]]*) *\] (?<message>.*)$/
      time_format %Y-%m-%d %H:%M:%S
      path /var/log/salt/minion
      pos_file /var/log/gcp-salt.pos
      tag salt
    </source>

    # Example:
    # Dec 21 23:17:22 gke-foo-1-1-4b5cbd14-node-4eoj startupscript: Finished running startup script /var/run/google.startup.script
    <source>
      type tail
      format syslog
      path /var/log/startupscript.log
      pos_file /var/log/gcp-startupscript.log.pos
      tag startupscript
    </source>

    # Examples:
    # time="2016-02-04T06:51:03.053580605Z" level=info msg="GET /containers/json"
    # time="2016-02-04T07:53:57.505612354Z" level=error msg="HTTP Error" err="No such image: -f" statusCode=404
    <source>
      type tail
      format /^time="(?<time>[^)]*)" level=(?<severity>[^ ]*) msg="(?<message>[^"]*)"( err="(?<error>[^"]*)")?( statusCode=($<status_code>\d+))?/
      path /var/log/docker.log
      pos_file /var/log/gcp-docker.log.pos
      tag docker
    </source>

    # Example:
    # 2016/02/04 06:52:38 filePurge: successfully removed file /var/etcd/data/member/wal/00000000000006d0-00000000010a23d1.wal
    <source>
      type tail
      # Not parsing this, because it doesn't have anything particularly useful to
      # parse out of it (like severities).
      format none
      path /var/log/etcd.log
      pos_file /var/log/gcp-etcd.log.pos
      tag etcd
    </source>

    # Multi-line parsing is required for all the kube logs because very large log
    # statements, such as those that include entire object bodies, get split into
    # multiple lines by glog.

    # Example:
    # I0204 07:32:30.020537    3368 server.go:1048] POST /stats/container/: (13.972191ms) 200 [[Go-http-client/1.1] 10.244.1.3:40537]
    <source>
      type tail
      format multiline
      multiline_flush_interval 5s
      format_firstline /^\w\d{4}/
      format1 /^(?<severity>\w)(?<time>\d{4} [^\s]*)\s+(?<pid>\d+)\s+(?<source>[^ \]]+)\] (?<message>.*)/
      time_format %m%d %H:%M:%S.%N
      path /var/log/kubelet.log
      pos_file /var/log/gcp-kubelet.log.pos
      tag kubelet
    </source>

    # Example:
    # I1118 21:26:53.975789       6 proxier.go:1096] Port "nodePort for kube-system/default-http-backend:http" (:31429/tcp) was open before and is still needed
    <source>
      type tail
      format multiline
      multiline_flush_interval 5s
      format_firstline /^\w\d{4}/
      format1 /^(?<severity>\w)(?<time>\d{4} [^\s]*)\s+(?<pid>\d+)\s+(?<source>[^ \]]+)\] (?<message>.*)/
      time_format %m%d %H:%M:%S.%N
      path /var/log/kube-proxy.log
      pos_file /var/log/gcp-kube-proxy.log.pos
      tag kube-proxy
    </source>

    # Example:
    # I0204 07:00:19.604280       5 handlers.go:131] GET /api/v1/nodes: (1.624207ms) 200 [[kube-controller-manager/v1.1.3 (linux/amd64) kubernetes/6a81b50] 127.0.0.1:38266]
    <source>
      type tail
      format multiline
      multiline_flush_interval 5s
      format_firstline /^\w\d{4}/
      format1 /^(?<severity>\w)(?<time>\d{4} [^\s]*)\s+(?<pid>\d+)\s+(?<source>[^ \]]+)\] (?<message>.*)/
      time_format %m%d %H:%M:%S.%N
      path /var/log/kube-apiserver.log
      pos_file /var/log/gcp-kube-apiserver.log.pos
      tag kube-apiserver
    </source>

    # Example:
    # I0204 06:55:31.872680       5 servicecontroller.go:277] LB already exists and doesn't need update for service kube-system/kube-ui
    <source>
      type tail
      format multiline
      multiline_flush_interval 5s
      format_firstline /^\w\d{4}/
      format1 /^(?<severity>\w)(?<time>\d{4} [^\s]*)\s+(?<pid>\d+)\s+(?<source>[^ \]]+)\] (?<message>.*)/
      time_format %m%d %H:%M:%S.%N
      path /var/log/kube-controller-manager.log
      pos_file /var/log/gcp-kube-controller-manager.log.pos
      tag kube-controller-manager
    </source>

    # Example:
    # W0204 06:49:18.239674       7 reflector.go:245] pkg/scheduler/factory/factory.go:193: watch of *api.Service ended with: 401: The event in requested index is outdated and cleared (the requested history has been cleared [2578313/2577886]) [2579312]
    <source>
      type tail
      format multiline
      multiline_flush_interval 5s
      format_firstline /^\w\d{4}/
      format1 /^(?<severity>\w)(?<time>\d{4} [^\s]*)\s+(?<pid>\d+)\s+(?<source>[^ \]]+)\] (?<message>.*)/
      time_format %m%d %H:%M:%S.%N
      path /var/log/kube-scheduler.log
      pos_file /var/log/gcp-kube-scheduler.log.pos
      tag kube-scheduler
    </source>

    # Example:
    # I1104 10:36:20.242766       5 rescheduler.go:73] Running Rescheduler
    <source>
      type tail
      format multiline
      multiline_flush_interval 5s
      format_firstline /^\w\d{4}/
      format1 /^(?<severity>\w)(?<time>\d{4} [^\s]*)\s+(?<pid>\d+)\s+(?<source>[^ \]]+)\] (?<message>.*)/
      time_format %m%d %H:%M:%S.%N
      path /var/log/rescheduler.log
      pos_file /var/log/gcp-rescheduler.log.pos
      tag rescheduler
    </source>

    # Example:
    # I0603 15:31:05.793605       6 cluster_manager.go:230] Reading config from path /etc/gce.conf
    <source>
      type tail
      format multiline
      multiline_flush_interval 5s
      format_firstline /^\w\d{4}/
      format1 /^(?<severity>\w)(?<time>\d{4} [^\s]*)\s+(?<pid>\d+)\s+(?<source>[^ \]]+)\] (?<message>.*)/
      time_format %m%d %H:%M:%S.%N
      path /var/log/glbc.log
      pos_file /var/log/gcp-glbc.log.pos
      tag glbc
    </source>

    # Example:
    # I0603 15:31:05.793605       6 cluster_manager.go:230] Reading config from path /etc/gce.conf
    <source>
      type tail
      format multiline
      multiline_flush_interval 5s
      format_firstline /^\w\d{4}/
      format1 /^(?<severity>\w)(?<time>\d{4} [^\s]*)\s+(?<pid>\d+)\s+(?<source>[^ \]]+)\] (?<message>.*)/
      time_format %m%d %H:%M:%S.%N
      path /var/log/cluster-autoscaler.log
      pos_file /var/log/gcp-cluster-autoscaler.log.pos
      tag cluster-autoscaler
    </source>

    # Logs from systemd-journal for interesting services.
    <source>
      type systemd
      filters [{ "_SYSTEMD_UNIT": "docker.service" }]
      pos_file /var/log/gcp-journald-docker.pos
      read_from_head true
      tag docker
    </source>

    <source>
      type systemd
      filters [{ "_SYSTEMD_UNIT": "kubelet.service" }]
      pos_file /var/log/gcp-journald-kubelet.pos
      read_from_head true
      tag kubelet
    </source>

    <source>
      type systemd
      filters [{ "_SYSTEMD_UNIT": "node-problem-detector.service" }]
      pos_file /var/log/gcp-journald-node-problem-detector.pos
      read_from_head true
      tag node-problem-detector
    </source>    
  monitoring.conf: |-
    # Prometheus monitoring
    <source>
      @type prometheus
      port 31337
    </source>

    <source>
      @type prometheus_monitor
    </source>

    # This source is used to acquire approximate process start timestamp,
    # which purpose is explained before the corresponding output plugin.
    <source>
      @type exec
      command /bin/sh -c 'date +%s'
      tag process_start
      time_format %Y-%m-%d %H:%M:%S
      keys process_start_timestamp
    </source>

    # This filter is used to convert process start timestamp to integer
    # value for correct ingestion in the prometheus output plugin.
    <filter process_start>
      @type record_transformer
      enable_ruby true
      auto_typecast true
      <record>
        process_start_timestamp ${record["process_start_timestamp"].to_i}
      </record>
    </filter>    
  output.conf: |-
    # This match is placed before the all-matching output to provide metric
    # exporter with a process start timestamp for correct exporting of
    # cumulative metrics to Stackdriver.
    <match process_start>
      @type prometheus

      <metric>
        type gauge
        name process_start_time_seconds
        desc Timestamp of the process start in seconds
        key process_start_timestamp
      </metric>
    </match>

    # This filter allows to count the number of log entries read by fluentd
    # before they are processed by the output plugin. This in turn allows to
    # monitor the number of log entries that were read but never sent, e.g.
    # because of liveness probe removing buffer.
    <filter **>
      @type prometheus
      <metric>
        type counter
        name logging_entry_count
        desc Total number of log entries generated by either application containers or system components
      </metric>
    </filter>

    # TODO(instrumentation): Reconsider this workaround later.
    # Trim the entries which exceed slightly less than 100KB, to avoid
    # dropping them. It is a necessity, because Stackdriver only supports
    # entries that are up to 100KB in size.
    <filter kubernetes.**>
      @type record_transformer
      enable_ruby true
      <record>
        log ${record['log'].length > 100000 ? "[Trimmed]#{record['log'][0..100000]}..." : record['log']}
      </record>
    </filter>

    # We use 2 output stanzas - one to handle the container logs and one to handle
    # the node daemon logs, the latter of which explicitly sends its logs to the
    # compute.googleapis.com service rather than container.googleapis.com to keep
    # them separate since most users don't care about the node logs.
    <match kubernetes.**>
      @type google_cloud

      # Try to detect JSON formatted log entries.
      detect_json true
      # Collect metrics in Prometheus registry about plugin activity.
      enable_monitoring true
      monitoring_type prometheus
      # Set the buffer type to file to improve the reliability and reduce the memory consumption
      buffer_type file
      buffer_path /var/log/fluentd-buffers/kubernetes.containers.buffer
      # Set queue_full action to block because we want to pause gracefully
      # in case of the off-the-limits load instead of throwing an exception
      buffer_queue_full_action block
      # Set the chunk limit conservatively to avoid exceeding the recommended
      # chunk size of 5MB per write request.
      buffer_chunk_limit 1M
      # Cap the combined memory usage of this buffer and the one below to
      # 1MiB/chunk * (6 + 2) chunks = 8 MiB
      buffer_queue_limit 6
      # Never wait more than 5 seconds before flushing logs in the non-error case.
      flush_interval 5s
      # Never wait longer than 30 seconds between retries.
      max_retry_wait 30
      # Disable the limit on the number of retries (retry forever).
      disable_retry_limit
      # Use multiple threads for processing.
      num_threads 2
    </match>

    # Keep a smaller buffer here since these logs are less important than the user's
    # container logs.
    <match **>
      @type google_cloud

      detect_json true
      enable_monitoring true
      monitoring_type prometheus
      detect_subservice false
      buffer_type file
      buffer_path /var/log/fluentd-buffers/kubernetes.system.buffer
      buffer_queue_full_action block
      buffer_chunk_limit 1M
      buffer_queue_limit 2
      flush_interval 5s
      max_retry_wait 30
      disable_retry_limit
      num_threads 2
    </match>    
metadata:
  name: fluentd-gcp-config-v1.2.3
  namespace: kube-system
  labels:
    addonmanager.kubernetes.io/mode: Reconcile