480 lines
20 KiB
YAML
480 lines
20 KiB
YAML
apiVersion: v1
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kind: Pod
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metadata:
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name: fluentd-cloud-logging
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namespace: kube-system
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labels:
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k8s-app: fluentd-logging
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# This annotation ensures that fluentd does not get evicted if the node
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# supports critical pod annotation based priority scheme.
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# Note that this does not guarantee admission on the nodes (#40573).
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annotations:
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scheduler.alpha.kubernetes.io/critical-pod: ''
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spec:
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dnsPolicy: Default
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containers:
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- name: fluentd-cloud-logging
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image: gcr.io/google_containers/fluentd-gcp:2.0.2
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# If fluentd consumes its own logs, the following situation may happen:
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# fluentd fails to send a chunk to the server => writes it to the log =>
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# tries to send this message to the server => fails to send a chunk and so on.
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# Writing to a file, which is not exported to the back-end prevents it.
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# It also allows to increase the fluentd verbosity by default.
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command:
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- '/bin/sh'
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- '-c'
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- |-
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mkdir /etc/fluent/config.d &&
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echo "$FLUENTD_CONFIG" > /etc/fluent/config.d/main.conf &&
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/run.sh $FLUENTD_ARGS 2>&1 >>/var/log/fluentd.log
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env:
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- name: FLUENTD_ARGS
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value: --no-supervisor
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# Keep this config as close as possible to cluster/addons/fluentd-gcp/fluentd-gcp-configmap.yaml
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# Note that backslashes should be doubled, because this is interpreted as shell variable
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# TODO(crassirostris): Refactor this
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- name: FLUENTD_CONFIG
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value: |-
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# This configuration file for Fluentd 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 /var/log/containers 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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# Google Cloud Logging which assumes the installation of the cloud-logging plug-in.
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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 look 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 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 /var/log directory in the container
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# running this instance of Fluentd and we end up collecting the file:
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# /var/log/containers/synthetic-logger-0.25lps-pod_default-synth-lgr-997599971ee6366d4a5920d25b79286ad45ff37a74494f262e3bc98d909d0a7b.log
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# This results in the tag:
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# var.log.containers.synthetic-logger-0.25lps-pod_default-synth-lgr-997599971ee6366d4a5920d25b79286ad45ff37a74494f262e3bc98d909d0a7b.log
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# The record reformer is used is discard the var.log.containers prefix and
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# the Docker container ID suffix and "kubernetes." is pre-pended giving the tag:
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# kubernetes.synthetic-logger-0.25lps-pod_default-synth-lgr
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# Tag is then parsed by google_cloud plugin and translated to the metadata,
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# visible in the log viewer
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# Example:
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# {"log":"[info:2016-02-16T16:04:05.930-08:00] Some log text here\\n","stream":"stdout","time":"2016-02-17T00:04:05.931087621Z"}
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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 /var/log/containers/*.log
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pos_file /var/log/gcp-containers.log.pos
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time_format %Y-%m-%dT%H:%M:%S.%N%Z
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tag reform.*
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read_from_head true
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</source>
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<filter reform.**>
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type parser
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format /^(?<severity>\\w)(?<time>\\d{4} [^\\s]*)\\s+(?<pid>\\d+)\\s+(?<source>[^ \\]]+)\\] (?<log>.*)/
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reserve_data true
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suppress_parse_error_log true
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key_name log
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</filter>
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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 raw.kubernetes.${tag_suffix[4].split('-')[0..-2].join('-')}
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</match>
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# Detect exceptions in the log output and forward them as one log entry.
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<match raw.kubernetes.**>
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@type copy
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<store>
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@type prometheus
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<metric>
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type counter
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name logging_line_count
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desc Total number of lines generated by application containers
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<labels>
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tag ${tag}
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</labels>
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</metric>
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</store>
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<store>
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@type detect_exceptions
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remove_tag_prefix raw
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message log
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stream stream
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multiline_flush_interval 5
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max_bytes 500000
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max_lines 1000
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</store>
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</match>
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# Example:
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# 2015-12-21 23:17:22,066 [salt.state ][INFO ] Completed state [net.ipv4.ip_forward] at time 23:17:22.066081
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<source>
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type tail
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format /^(?<time>[^ ]* [^ ,]*)[^\\[]*\\[[^\\]]*\\]\\[(?<severity>[^ \\]]*) *\\] (?<message>.*)$/
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time_format %Y-%m-%d %H:%M:%S
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path /var/log/salt/minion
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pos_file /var/log/gcp-salt.pos
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tag salt
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</source>
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# Example:
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# Dec 21 23:17:22 gke-foo-1-1-4b5cbd14-node-4eoj startupscript: Finished running startup script /var/run/google.startup.script
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<source>
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type tail
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format syslog
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path /var/log/startupscript.log
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pos_file /var/log/gcp-startupscript.log.pos
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tag startupscript
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</source>
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# Examples:
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# time="2016-02-04T06:51:03.053580605Z" level=info msg="GET /containers/json"
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# time="2016-02-04T07:53:57.505612354Z" level=error msg="HTTP Error" err="No such image: -f" statusCode=404
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<source>
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type tail
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format /^time="(?<time>[^)]*)" level=(?<severity>[^ ]*) msg="(?<message>[^"]*)"( err="(?<error>[^"]*)")?( statusCode=($<status_code>\\d+))?/
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path /var/log/docker.log
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pos_file /var/log/gcp-docker.log.pos
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tag docker
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</source>
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# Example:
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# 2016/02/04 06:52:38 filePurge: successfully removed file /var/etcd/data/member/wal/00000000000006d0-00000000010a23d1.wal
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<source>
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type tail
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# Not parsing this, because it doesn't have anything particularly useful to
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# parse out of it (like severities).
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format none
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path /var/log/etcd.log
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pos_file /var/log/gcp-etcd.log.pos
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tag etcd
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</source>
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# Multi-line parsing is required for all the kube logs because very large log
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# statements, such as those that include entire object bodies, get split into
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# multiple lines by glog.
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# Example:
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# 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]
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<source>
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type tail
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format multiline
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multiline_flush_interval 5s
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format_firstline /^\\w\\d{4}/
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format1 /^(?<severity>\\w)(?<time>\\d{4} [^\\s]*)\\s+(?<pid>\\d+)\\s+(?<source>[^ \\]]+)\\] (?<message>.*)/
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time_format %m%d %H:%M:%S.%N
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path /var/log/kubelet.log
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pos_file /var/log/gcp-kubelet.log.pos
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tag kubelet
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</source>
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# Example:
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# 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
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<source>
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type tail
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format multiline
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multiline_flush_interval 5s
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format_firstline /^\\w\\d{4}/
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format1 /^(?<severity>\\w)(?<time>\\d{4} [^\\s]*)\\s+(?<pid>\\d+)\\s+(?<source>[^ \\]]+)\\] (?<message>.*)/
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time_format %m%d %H:%M:%S.%N
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path /var/log/kube-proxy.log
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pos_file /var/log/gcp-kube-proxy.log.pos
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tag kube-proxy
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</source>
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# Example:
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# 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]
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<source>
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type tail
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format multiline
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multiline_flush_interval 5s
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format_firstline /^\\w\\d{4}/
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format1 /^(?<severity>\\w)(?<time>\\d{4} [^\\s]*)\\s+(?<pid>\\d+)\\s+(?<source>[^ \\]]+)\\] (?<message>.*)/
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time_format %m%d %H:%M:%S.%N
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path /var/log/kube-apiserver.log
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pos_file /var/log/gcp-kube-apiserver.log.pos
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tag kube-apiserver
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</source>
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# Example:
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# 2017-02-09T00:15:57.992775796Z AUDIT: id="90c73c7c-97d6-4b65-9461-f94606ff825f" ip="104.132.1.72" method="GET" user="kubecfg" as="<self>" asgroups="<lookup>" namespace="default" uri="/api/v1/namespaces/default/pods"
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# 2017-02-09T00:15:57.993528822Z AUDIT: id="90c73c7c-97d6-4b65-9461-f94606ff825f" response="200"
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<source>
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type tail
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format multiline
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multiline_flush_interval 5s
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format_firstline /^\\S+\\s+AUDIT:/
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# Fields must be explicitly captured by name to be parsed into the record.
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# Fields may not always be present, and order may change, so this just looks
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# for a list of key="\\"quoted\\" value" pairs separated by spaces.
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# Unknown fields are ignored.
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# Note: We can't separate query/response lines as format1/format2 because
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# they don't always come one after the other for a given query.
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# TODO: Maybe add a JSON output mode to audit log so we can get rid of this?
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format1 /^(?<time>\\S+) AUDIT:(?: (?:id="(?<id>(?:[^"\\\\]|\\\\.)*)"|ip="(?<ip>(?:[^"\\\\]|\\\\.)*)"|method="(?<method>(?:[^"\\\\]|\\\\.)*)"|user="(?<user>(?:[^"\\\\]|\\\\.)*)"|groups="(?<groups>(?:[^"\\\\]|\\\\.)*)"|as="(?<as>(?:[^"\\\\]|\\\\.)*)"|asgroups="(?<asgroups>(?:[^"\\\\]|\\\\.)*)"|namespace="(?<namespace>(?:[^"\\\\]|\\\\.)*)"|uri="(?<uri>(?:[^"\\\\]|\\\\.)*)"|response="(?<response>(?:[^"\\\\]|\\\\.)*)"|\\w+="(?:[^"\\\\]|\\\\.)*"))*/
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time_format %FT%T.%L%Z
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path /var/log/kube-apiserver-audit.log
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pos_file /var/log/gcp-kube-apiserver-audit.log.pos
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tag kube-apiserver-audit
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</source>
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# Example:
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# I0204 06:55:31.872680 5 servicecontroller.go:277] LB already exists and doesn't need update for service kube-system/kube-ui
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<source>
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type tail
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format multiline
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multiline_flush_interval 5s
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format_firstline /^\\w\\d{4}/
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format1 /^(?<severity>\\w)(?<time>\\d{4} [^\\s]*)\\s+(?<pid>\\d+)\\s+(?<source>[^ \\]]+)\\] (?<message>.*)/
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time_format %m%d %H:%M:%S.%N
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path /var/log/kube-controller-manager.log
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pos_file /var/log/gcp-kube-controller-manager.log.pos
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tag kube-controller-manager
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</source>
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# Example:
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# 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]
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<source>
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type tail
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format multiline
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multiline_flush_interval 5s
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format_firstline /^\\w\\d{4}/
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format1 /^(?<severity>\\w)(?<time>\\d{4} [^\\s]*)\\s+(?<pid>\\d+)\\s+(?<source>[^ \\]]+)\\] (?<message>.*)/
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time_format %m%d %H:%M:%S.%N
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path /var/log/kube-scheduler.log
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pos_file /var/log/gcp-kube-scheduler.log.pos
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tag kube-scheduler
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</source>
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# Example:
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# I1104 10:36:20.242766 5 rescheduler.go:73] Running Rescheduler
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<source>
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type tail
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format multiline
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multiline_flush_interval 5s
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format_firstline /^\\w\\d{4}/
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format1 /^(?<severity>\\w)(?<time>\\d{4} [^\\s]*)\\s+(?<pid>\\d+)\\s+(?<source>[^ \\]]+)\\] (?<message>.*)/
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time_format %m%d %H:%M:%S.%N
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path /var/log/rescheduler.log
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pos_file /var/log/gcp-rescheduler.log.pos
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tag rescheduler
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</source>
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# Example:
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# I0603 15:31:05.793605 6 cluster_manager.go:230] Reading config from path /etc/gce.conf
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<source>
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type tail
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format multiline
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multiline_flush_interval 5s
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format_firstline /^\\w\\d{4}/
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format1 /^(?<severity>\\w)(?<time>\\d{4} [^\\s]*)\\s+(?<pid>\\d+)\\s+(?<source>[^ \\]]+)\\] (?<message>.*)/
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time_format %m%d %H:%M:%S.%N
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path /var/log/glbc.log
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pos_file /var/log/gcp-glbc.log.pos
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tag glbc
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</source>
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# Example:
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# I0603 15:31:05.793605 6 cluster_manager.go:230] Reading config from path /etc/gce.conf
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<source>
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type tail
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format multiline
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multiline_flush_interval 5s
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format_firstline /^\\w\\d{4}/
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format1 /^(?<severity>\\w)(?<time>\\d{4} [^\\s]*)\\s+(?<pid>\\d+)\\s+(?<source>[^ \\]]+)\\] (?<message>.*)/
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time_format %m%d %H:%M:%S.%N
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path /var/log/cluster-autoscaler.log
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pos_file /var/log/gcp-cluster-autoscaler.log.pos
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tag cluster-autoscaler
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</source>
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# Logs from systemd-journal for interesting services.
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<source>
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type systemd
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filters [{ "_SYSTEMD_UNIT": "docker.service" }]
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pos_file /var/log/gcp-journald-docker.pos
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read_from_head true
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tag docker
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</source>
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<source>
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type systemd
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filters [{ "_SYSTEMD_UNIT": "kubelet.service" }]
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pos_file /var/log/gcp-journald-kubelet.pos
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read_from_head true
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tag kubelet
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</source>
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# Prometheus monitoring
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<source>
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@type prometheus
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port 80
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</source>
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<source>
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@type prometheus_monitor
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</source>
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# We use 2 output stanzas - one to handle the container logs and one to handle
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# the node daemon logs, the latter of which explicitly sends its logs to the
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# compute.googleapis.com service rather than container.googleapis.com to keep
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# them separate since most users don't care about the node logs.
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<match kubernetes.**>
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@type copy
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<store>
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@type google_cloud
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# Set the buffer type to file to improve the reliability and reduce the memory consumption
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buffer_type file
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buffer_path /var/log/fluentd-buffers/kubernetes.containers.buffer
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# Set queue_full action to block because we want to pause gracefully
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# in case of the off-the-limits load instead of throwing an exception
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buffer_queue_full_action block
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# Set the chunk limit conservatively to avoid exceeding the GCL limit
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# of 10MiB per write request.
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buffer_chunk_limit 2M
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# Cap the combined memory usage of this buffer and the one below to
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# 2MiB/chunk * (6 + 2) chunks = 16 MiB
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buffer_queue_limit 6
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# Never wait more than 5 seconds before flushing logs in the non-error case.
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flush_interval 5s
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# Never wait longer than 30 seconds between retries.
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max_retry_wait 30
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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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# Use multiple threads for processing.
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num_threads 2
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</store>
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<store>
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@type prometheus
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<metric>
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type counter
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name logging_entry_count
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desc Total number of log entries generated by either an application container or a system component
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<labels>
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tag ${tag}
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component container
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</labels>
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</metric>
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</store>
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</match>
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# Keep a smaller buffer here since these logs are less important than the user's
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# container logs.
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<match **>
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@type copy
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<store>
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@type google_cloud
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detect_subservice false
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buffer_type file
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buffer_path /var/log/fluentd-buffers/kubernetes.system.buffer
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buffer_queue_full_action block
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buffer_chunk_limit 2M
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buffer_queue_limit 2
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flush_interval 5s
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max_retry_wait 30
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disable_retry_limit
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num_threads 2
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</store>
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<store>
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@type prometheus
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|
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<metric>
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type counter
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name logging_entry_count
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desc Total number of log entries generated by either an application container or a system component
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<labels>
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|
tag ${tag}
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component system
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</labels>
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</metric>
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</store>
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</match>
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|
resources:
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limits:
|
|
memory: 200Mi
|
|
requests:
|
|
# Any change here should be accompanied by a proportional change in CPU
|
|
# requests of other per-node add-ons (e.g. kube-proxy).
|
|
cpu: 100m
|
|
memory: 200Mi
|
|
volumeMounts:
|
|
- name: varlog
|
|
mountPath: /var/log
|
|
- name: varlibdockercontainers
|
|
mountPath: /var/lib/docker/containers
|
|
readOnly: true
|
|
- name: libsystemddir
|
|
mountPath: /host/lib
|
|
readOnly: true
|
|
# Liveness probe is aimed to help in situarions where fluentd
|
|
# silently hangs for no apparent reasons until manual restart.
|
|
# The idea of this probe is that if fluentd is not queueing or
|
|
# flushing chunks for 5 minutes, something is not right. If
|
|
# you want to change the fluentd configuration, reducing amount of
|
|
# logs fluentd collects, consider changing the threshold or turning
|
|
# liveness probe off completely.
|
|
livenessProbe:
|
|
initialDelaySeconds: 600
|
|
periodSeconds: 60
|
|
exec:
|
|
command:
|
|
- '/bin/sh'
|
|
- '-c'
|
|
- >
|
|
LIVENESS_THRESHOLD_SECONDS=${LIVENESS_THRESHOLD_SECONDS:-300};
|
|
STUCK_THRESHOLD_SECONDS=${LIVENESS_THRESHOLD_SECONDS:-900};
|
|
if [ ! -e /var/log/fluentd-buffers ];
|
|
then
|
|
exit 1;
|
|
fi;
|
|
LAST_MODIFIED_DATE=`stat /var/log/fluentd-buffers | grep Modify | sed -r "s/Modify: (.*)/\1/"`;
|
|
LAST_MODIFIED_TIMESTAMP=`date -d "$LAST_MODIFIED_DATE" +%s`;
|
|
if [ `date +%s` -gt `expr $LAST_MODIFIED_TIMESTAMP + $STUCK_THRESHOLD_SECONDS` ];
|
|
then
|
|
rm -rf /var/log/fluentd-buffers;
|
|
exit 1;
|
|
fi;
|
|
if [ `date +%s` -gt `expr $LAST_MODIFIED_TIMESTAMP + $LIVENESS_THRESHOLD_SECONDS` ];
|
|
then
|
|
exit 1;
|
|
fi;
|
|
terminationGracePeriodSeconds: 30
|
|
volumes:
|
|
- name: varlog
|
|
hostPath:
|
|
path: /var/log
|
|
- name: varlibdockercontainers
|
|
hostPath:
|
|
path: /var/lib/docker/containers
|
|
- name: libsystemddir
|
|
hostPath:
|
|
path: /usr/lib64
|