Docker Swarm使用fluentd收集日志

创建一个Service

[ini]
root@localhost:~# docker service create –replicas 1 -p 8004:8000 –name temp01 –log-driver=fluentd \
–log-opt tag=”docker.{{.Name}}” –log-opt fluentd-async-connect=true \
imekaku/simple-web python /work/simple.py
ckccpo6wy0ovoazxfzdf01zrq

# match的tag如下
matched tag=”docker.temp01.1.ckccpo6wy0ovoazxfzdf01zrq”
[/ini]

客户端对应的fluentd配置文件

# 几乎没有变化，只是对应的swarm多的tag字段需要做相应的匹配
<source>
  type forward
  port 24224
  bind 0.0.0.0
</source>

<match docker.*.*.*>
  type rewrite_tag_filter 
  rewriterule1 source stdout out.${tag}
  rewriterule2 source stderr err.${tag}
</match>

# 使用输出
<match out.docker.*.*.*>
    type forward
    <server>
    host 192.168.126.136
    port 24224
    </server>
    flush_interval 5s
</match>

<match err.docker.*.*.*>
    type forward    
    <server>
    host 192.168.126.136
    port 24224
    </server>
    flush_interval 5s
</match>

服务器端fluentd配置

<source>
  type forward
  port 24224
  bind 0.0.0.0
</source>

<match err.docker.*.*.*>
  type forest
  subtype file
  <template>
    output_tag false
    output_time false
    message_key log
    format single_value
    path /home/lee/fluentd-log/err/${tag_parts[2]}/temp
  </template>
</match>

<match out.docker.*.*.*>
  type forest
  subtype file
  <template>
    output_tag false
    output_time false
    message_key log
    format single_value
    path /home/lee/fluentd-log/out/${tag_parts[2]}/temp
  </template>
</match>