TCP & TLS

tcp 输出插件将记录发送到远程 TCP 服务器。payload 可以根据需要以不同的方式格式化。

Configuration Parameters

Key Description default
Host Fluent Bit 或 Fluentd 监听转发消息的主机 127.0.0.1
Port 目标主机的 TCP 端口 5170
Format 指定输出的数据格式。支持的格式是 msgpack,json,json_lines,json\_stream_. msgpack
json_date_key 在输出中指定日期字段的名称 date
json_date_format 指定日期格式。支持的格式为 double,iso8601(如: 2018-05-30T09:39:52.000681Z) double

TLS Configuration Parameters

以下参数可用于配置通过 TLS 加密的安全连接:

Key Description Default
tls 是否启用 TLS 连接 Off
tls.verify 是否强制证书认证 On
tls.debug 设置 TLS 调试级别。接受如下参数. 0 (No debug), 1 (Error), 2 (State change), 3 (Informational), 4 Verbose 1
tls.ca_file CA 证书文件的绝对路径
tls.crt_file crt 证书文件的绝对路径.
tls.key_file 私钥文件的绝对路径
tls.key_passwd 可选的私钥文件密码

Command Line

  1. $ bin/fluent-bit -i cpu -o tcp://127.0.0.1:5170 -p format=json_lines -v

我们使用 CPU 输入插件收集 CPU 使用的数据指标，并以 JSON 格式将它们发送到以 netcat 监听的服务端点中，如:

Start the TCP listener

在终端中运行以下命令，netcat 将开始在 TCP/5170 端口上监听消息:

  1. $ nc -l 5170

启动 Fluent Bit:

  1. $ bin/fluent-bit -i cpu -o stdout -p format=msgpack -v
  2. Fluent Bit v1.x.x
  3. * Copyright (C) 2019-2020 The Fluent Bit Authors
  4. * Copyright (C) 2015-2018 Treasure Data
  5. * Fluent Bit is a CNCF sub-project under the umbrella of Fluentd
  6. * https://fluentbit.io
  8. [2016/10/07 21:52:01] [ info] [engine] started
  9. [0] cpu.0: [1475898721, {"cpu_p"=>0.500000, "user_p"=>0.250000, "system_p"=>0.250000, "cpu0.p_cpu"=>0.000000, "cpu0.p_user"=>0.000000, "cpu0.p_system"=>0.000000, "cpu1.p_cpu"=>0.000000, "cpu1.p_user"=>0.000000, "cpu1.p_system"=>0.000000, "cpu2.p_cpu"=>0.000000, "cpu2.p_user"=>0.000000, "cpu2.p_system"=>0.000000, "cpu3.p_cpu"=>1.000000, "cpu3.p_user"=>0.000000, "cpu3.p_system"=>1.000000}]
  10. [1] cpu.0: [1475898722, {"cpu_p"=>0.250000, "user_p"=>0.250000, "system_p"=>0.000000, "cpu0.p_cpu"=>0.000000, "cpu0.p_user"=>0.000000, "cpu0.p_system"=>0.000000, "cpu1.p_cpu"=>1.000000, "cpu1.p_user"=>1.000000, "cpu1.p_system"=>0.000000, "cpu2.p_cpu"=>0.000000, "cpu2.p_user"=>0.000000, "cpu2.p_system"=>0.000000, "cpu3.p_cpu"=>0.000000, "cpu3.p_user"=>0.000000, "cpu3.p_system"=>0.000000}]
  11. [2] cpu.0: [1475898723, {"cpu_p"=>0.750000, "user_p"=>0.250000, "system_p"=>0.500000, "cpu0.p_cpu"=>2.000000, "cpu0.p_user"=>1.000000, "cpu0.p_system"=>1.000000, "cpu1.p_cpu"=>0.000000, "cpu1.p_user"=>0.000000, "cpu1.p_system"=>0.000000, "cpu2.p_cpu"=>1.000000, "cpu2.p_user"=>0.000000, "cpu2.p_system"=>1.000000, "cpu3.p_cpu"=>0.000000, "cpu3.p_user"=>0.000000, "cpu3.p_system"=>0.000000}]
  12. [3] cpu.0: [1475898724, {"cpu_p"=>1.000000, "user_p"=>0.750000, "system_p"=>0.250000, "cpu0.p_cpu"=>1.000000, "cpu0.p_user"=>1.000000, "cpu0.p_system"=>0.000000, "cpu1.p_cpu"=>2.000000, "cpu1.p_user"=>1.000000, "cpu1.p_system"=>1.000000, "cpu2.p_cpu"=>1.000000, "cpu2.p_user"=>1.000000, "cpu2.p_system"=>0.000000, "cpu3.p_cpu"=>1.000000, "cpu3.p_user"=>1.000000, "cpu3.p_system"=>0.000000}]

No more, no less, it just works.