ZooKeeper监控数据采集方案——Telegraf Plugin

浅浅的花香味﹌ 2022-09-11 00:04 526阅读 0赞

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### 文章目录 ###

*   *  一、前言
     *   *  1、五种官方监控方案
         *  2、选择Telegraf Plugin采集zk运行时数据
     *  二、四字命令
     *   *  1、mntr
         *  2、mntr监控告警说明
         *  3、其他四字命令
     *  三、Telegraf Plugin安装（CentOS）
     *  四、Telegraf Plugin启动与调试
     *   *  1、调试
         *  2、启动与停止
         *  3、telegraf --help
     *  五、telegraf.conf
     *   *  1、agent
         *  2、outputs.influxdb
         *  3、inputs.zookeeper
     *  六、注意事项
     *   *  1、四字命令不在白名单
         *  2、zk指标会因为zk版本而不同
         *  3、不要安装influxDB 2.0
         *  4、Telegraf好像只能收集mntr
         *  5、Telegraf学习成本
     *  七、其他监控
     *  八、参考文献

## 一、前言 ##

### 1、五种官方监控方案 ###

Zookeeper官方提供了五种监控数据采集方案：

1.  [Prometheus][]，运行`Prometheus`监控服务是获取和记录ZooKeeper指标的最简单方法。需要在`zoo.cfg`中设置参数`metricsProvider.className=org.apache.zookeeper.metrics.prometheus.PrometheusMetricsProvider`、 `metricsProvider.httpPort=7000`（默认端口7000）。`Prometheus`启动后每10秒记录一次ZooKeeper数据。
2.  [Grafana][]，`Grafana`有内置的`Prometheus`支持，只需添加一个`Prometheus`数据源。如果`Grafana`作为图表展示终端，安装`Prometheus`收集Zookeeper监控数据比较合适。
3.  Apache Zookeeper Telegraf Plugin + InfluxDB，安装启动Telegraf Plugin插件，定时收集ZooKeeper监控数据，并导入InfluxDB中。
4.  [JMX][]，使用JMX方式监控Zookeeper，需要对JMX有一定了解。
5.  [Four letter words][]，运行四字命令获取Zookeeper运行数据，可以自己写收集脚本，定时对某些Zookeeper集群执行四字命令（如`mntr`），将数据写入MySql或者InfluxDB。

### 2、选择Telegraf Plugin采集zk运行时数据 ###

经过对比，最终选择`Telegraf Plugin`作为zk运行时数据采集方案，选择理由：

*  生产环境用的influxdb存储数据，`Telegraf Plugin`完美契合。
 *  `Telegraf`是Go写的脚本，这意味着它是一个编译的独立二进制文件，可以在任何系统上运行，无需其他依赖，占用内存小，性能高。
 *  `Telegraf`是插件驱动的数据收集和输出，易扩展。
 *  `Telegraf` 采集zk指标的原理是定时执行四字命令`mntr`，默认频率是10s一次。
 *  `Telegraf`上手简单，只需要配置输入源zk，输出源influxdb即可。

![在这里插入图片描述][watermark_type_ZHJvaWRzYW5zZmFsbGJhY2s_shadow_50_text_Q1NETiBA5b6Q5ZCM5a2m5ZGA_size_20_color_FFFFFF_t_70_g_se_x_16_pic_center]

`Telegraf` 的缺点：

*  上手容易，过滤、聚合配置较复杂，有一定学习成本。
 *  默认收集`mntr`，暂未找到可以配置四字命令的地方。
 *  入到`influxdb`的表名默认是`zookeeper`，暂未找到可以自定义表名的地方。
 *  暂未找到配置过滤指标的地方，比如某些指标不想入库。

如果不想用`Telegraf`，也可以自行根据`mntr`等四字命令开发定时脚本，技术掌握和灵活性大。  
![在这里插入图片描述][watermark_type_ZHJvaWRzYW5zZmFsbGJhY2s_shadow_50_text_Q1NETiBA5b6Q5ZCM5a2m5ZGA_size_20_color_FFFFFF_t_70_g_se_x_16_pic_center 1]

## 二、四字命令 ##

### 1、mntr ###

`mntr`可以输出zk集群健康状态数据，如果想获取zk节点的配置信息，用`conf`。

[xxx@stefan~]$ echo mntr | nc 127.0.0.1 2181
    zk_version      3.4.6-1569965, built on 02/20/2014 09:09 GMT
    zk_avg_latency  0
    zk_max_latency  1078
    zk_min_latency  0
    zk_packets_received     3956911
    zk_packets_sent 3957032
    zk_num_alive_connections        20
    zk_outstanding_requests 0
    zk_server_state follower
    zk_znode_count  4220
    zk_watch_count  32
    zk_ephemerals_count     42
    zk_approximate_data_size        16452676
    zk_open_file_descriptor_count   47
    zk_max_file_descriptor_count    409600
    
    [xxx@stefan ~]$ echo mntr | nc 127.0.0.1 2181
    zk_version      3.4.6-1569965, built on 02/20/2014 09:09 GMT
    # 平均延迟
    zk_avg_latency  0
    # 最大延迟
    zk_max_latency  549
    # 最小延迟
    zk_min_latency  0
    # 收包
    zk_packets_received     3683733
    # 发包
    zk_packets_sent 3684169
    # 连接数
    zk_num_alive_connections        24
    # 堆积请求数
    zk_outstanding_requests 0
    # 状态（角色）
    zk_server_state leader
    # znode数量
    zk_znode_count  4220
    # watch数量
    zk_watch_count  2790
    # 临时节点数量
    zk_ephemerals_count     42
    # 数据大小
    zk_approximate_data_size        16452676
    # 打开的文件描述符数量
    zk_open_file_descriptor_count   52
    # 最大文件描述符数量
    zk_max_file_descriptor_count    409600
    # leader 会多出如下3个信息
    # follower数量
    zk_followers    2
    # 已经同步的follower数量
    zk_synced_followers     2
    # 正在同步的数量
    zk_pending_syncs        0

### 2、mntr监控告警说明 ###

*  `zk_server_state` zk服务节点类型（`leader` or `follower`），集群中有且只能有一个 `leader`，没有 `leader`，则集群无法正常工作；两个或以上的 `leader`，则视为脑裂，会导致数据不一致问题。**需要对一个集群的leader数量做告警设置，超过1个则告警。**
 *  `zk_followers`、`zk_synced_followers`，如果这两个值不相等，就表示部分 follower 异常了需要立即处理，**需要对其做告警设置，二者差值不等于0则告警**。
 *  `zk_outstanding_requests`，常态下该值应该持续为 0，不应该有未处理请求。**需要对其做告警设置，一段时间（1分钟）内持续不等于0，则告警。**
 *  `zk_pending_syncs`，常态下该值应该持续为 0，不应该有未同步的数据。**需要对其做告警设置，一段时间（1分钟）内持续不等于0，则告警。**
 *  `zk_znode_count`，节点数越多，集群的压力越大，性能会随之急剧下降，根据经验不要超过100万，当节点数过多时，需要考虑以机房/地域/业务等维度进行拆分。
 *  `zk_approximate_data_size`，当快照体积过大时，ZK 的节点重启后，会因为在 `initLimit` 的时间内无法同步完快照而无法加入集群。根据经验不要超过 1GB，建议不要把 ZK 当做文件存储系统来使用，可以对该值做告警设置，快照大小超过1GB就告警。
 *  `zk_open_file_descriptor_count`、`zk_max_file_descriptor_count`，当这两个值相等时，集群无法接收并处理新的请求，建议修改修改`/etc/security/limits.conf`，将线上账号的文件句柄数调整到 100 万。
 *  `zk_watch_count`，watch 的数量越多，zk变更后的通知压力就越大。
 *  `zk_packets_received`、`zk_packert_sent`，每个节点的具体值均不同，通过求和的方式来获取集群的整体值。
 *  `zk_num_alive_connections`，ZK 节点的客户端连接数量，每个节点的具体值均不同，通过求和的方式来获取集群的整体值。
 *  `zk_avg_latency`、`zk_max_latency`、`zk_min_latency`，需要关注平均延时的剧烈变化，业务上对延时有明确要求的，则可以针对具体阈值进行设置。

### 3、其他四字命令 ###

*  `conf` (New in 3.3.0)输出相关服务配置的详细信息。比如端口、zk数据及日志配置路径、最大连接数，session 超时时间、serverId 等。
 *  `cons` (New in 3.3.0)列出所有连接到这台服务器的客户端连接/会话的详细信息。包括“接受/发送”的包数量、session id 、操作延迟、最后的操作执行等信息。
 *  `crst` (New in 3.3.0)重置当前这台服务器所有连接/会话的统计信息。
 *  `dump` 列出未经处理的会话和临时节点（只在 leader 上有效）。
 *  `envi` 输出关于服务器的环境详细信息（不同于 conf 命令），比如host.name、java.version、java.home、user.dir=/data/zookeeper-3.4.6/bin之类信息。
 *  `ruok` 测试服务是否处于正确运行状态。如果正常返回"imok"，否则返回空。
 *  `srst` 重置服务器的统计信息。
 *  `srvr` (New in 3.3.0)输出服务器的详细信息。zk版本、接收/发送包数量、连接数、模式（leader/follower）、节点总数。
 *  `stat` 输出服务器的详细信息：接收/发送包数量、连接数、模式（leader/follower）、节点总数、延迟。 所有客户端的列表。
 *  `wchs` (New in 3.3.0)列出服务器 watches 的简洁信息：连接总数、watching 节点总数和 watches 总数。
 *  `wchc` (New in 3.3.0)通过 session 分组，列出 watch 的所有节点，它的输出是一个与 watch 相关的会话的节点列表。如果 watches 数量很大的话，将会产生很大的开销，会影响性能，小心使用。
 *  `wchp` (New in 3.3.0)通过路径分组，列出所有的 watch 的 session id 信息。它输出一个与 session 相关的路径。如果 watches 数量很大的话，将会产生很大的开销，会影响性能，小心使用。
 *  `mntr` (New in 3.4.0)列出集群的健康状态。包括“接受/发送”的包数量、操作延迟、当前服务模式（leader/follower）、节点总数、watch总数、临时节点总数。

## 三、Telegraf Plugin安装（CentOS） ##

参考官方链接：[https://www.influxdata.com/get-influxdb/][https_www.influxdata.com_get-influxdb]

![在这里插入图片描述][watermark_type_ZHJvaWRzYW5zZmFsbGJhY2s_shadow_50_text_Q1NETiBA5b6Q5ZCM5a2m5ZGA_size_20_color_FFFFFF_t_70_g_se_x_16_pic_center 2]

![在这里插入图片描述][watermark_type_ZHJvaWRzYW5zZmFsbGJhY2s_shadow_50_text_Q1NETiBA5b6Q5ZCM5a2m5ZGA_size_20_color_FFFFFF_t_70_g_se_x_16_pic_center 3]

cd /usr/local
    mkdir telegraf
    cd telegraf
    wget https://dl.influxdata.com/telegraf/releases/telegraf-1.19.2-1.x86_64.rpm
    sudo yum localinstall telegraf-1.19.2-1.x86_64.rpm

执行如上命令即可安装成功，运行`telegraf --version`查看安装版本：

[root@Thu Sep 09 /usr/local]# telegraf --version
    Telegraf 1.19.2 (git: HEAD 3cb135b6)

![在这里插入图片描述][watermark_type_ZHJvaWRzYW5zZmFsbGJhY2s_shadow_50_text_Q1NETiBA5b6Q5ZCM5a2m5ZGA_size_20_color_FFFFFF_t_70_g_se_x_16_pic_center 4]

## 四、Telegraf Plugin启动与调试 ##

### 1、调试 ###

Telegraf一旦启动并运行，它将开始收集指标，并每10秒将数据写入本地的inflxdb。在启动之前可以用如下命令测试脚本是否正常：

# 运行下脚本，将收集的信息打印在控制台
    telegraf --test
    # 运行下脚本，将收集的cpu、mem信息打印在控制台（:分割）
    telegraf --input-filter cpu:mem --test
    # 只打印zookeeper收集信息
    telegraf --input-filter zookeeper --test

### 2、启动与停止 ###

sudo service telegraf start
    sudo service telegraf stop
    sudo service telegraf restart

如果直接输入telegraf，也是运行脚本，但不是后台运行，日志会同步打印在控制台，前期测试可以使用。

### 3、telegraf --help ###

Telegraf, The plugin-driven server agent for collecting and reporting metrics.
    
    Usage:
    
      telegraf [commands|flags]
    
    The commands & flags are:
    
      config              print out full sample configuration to stdout
      version             print the version to stdout
    # 筛选要启用的聚合器，分隔符为:
      --aggregator-filter <filter>   filter the aggregators to enable, separator is :
    # 要加载的配置文件 
      --config <file>                configuration file to load
      --config-directory <directory> directory containing additional *.conf files
      --watch-config                 Telegraf will restart on local config changes. Monitor changes 
                                     using either fs notifications or polling.  Valid values: 'inotify' or 'poll'. 
                                     Monitoring is off by default.
      --plugin-directory             directory containing *.so files, this directory will be
                                     searched recursively. Any Plugin found will be loaded
                                     and namespaced.
    # 打开调试日志 
      --debug                        turn on debug logging
      --input-filter <filter>        filter the inputs to enable, separator is :
      --input-list                   print available input plugins.
      --output-filter <filter>       filter the outputs to enable, separator is :
      --output-list                  print available output plugins.
      --pidfile <file>               file to write our pid to
      --pprof-addr <address>         pprof address to listen on, don't activate pprof if empty --processor-filter <filter> filter the processors to enable, separator is : --quiet run in quiet mode --section-filter filter config sections to output, separator is : Valid values are 'agent', 'global_tags', 'outputs', 'processors', 'aggregators' and 'inputs' --sample-config print out full sample configuration --once enable once mode: gather metrics once, write them, and exit --test enable test mode: gather metrics once and print them --test-wait wait up to this many seconds for service inputs to complete in test or once mode --usage <plugin> print usage for a plugin, ie, 'telegraf --usage mysql'
      --version                      display the version and exit

## 五、telegraf.conf ##

Telegraf Plugin安装之后启动配置默认为`/etc/telegraf/telegraf.conf`，其中可以配置脚本的基本属性，如数据收集的时间间隔，输出源influxdb配置，输入源zookeeper配置等，如下仅截取关心的部分配置：

### 1、agent ###

[agent]
      ## Default data collection interval for all inputs
      interval = "10s"
      ## Rounds collection interval to 'interval'
      ## ie, if interval="10s" then always collect on :00, :10, :20, etc.
      round_interval = true
    
      ## Telegraf will send metrics to outputs in batches of at most
      ## metric_batch_size metrics.
      ## This controls the size of writes that Telegraf sends to output plugins.
      metric_batch_size = 1000
    
      ## Maximum number of unwritten metrics per output. Increasing this value
      ## allows for longer periods of output downtime without dropping metrics at the
      ## cost of higher maximum memory usage.
      metric_buffer_limit = 10000
    
      ## Collection jitter is used to jitter the collection by a random amount.
      ## Each plugin will sleep for a random time within jitter before collecting.
      ## This can be used to avoid many plugins querying things like sysfs at the
      ## same time, which can have a measurable effect on the system.
      collection_jitter = "0s"
    
      ## Default flushing interval for all outputs. Maximum flush_interval will be
      ## flush_interval + flush_jitter
      flush_interval = "10s"
      ## Jitter the flush interval by a random amount. This is primarily to avoid
      ## large write spikes for users running a large number of telegraf instances.
      ## ie, a jitter of 5s and interval 10s means flushes will happen every 10-15s
      flush_jitter = "0s"
    
      ## By default or when set to "0s", precision will be set to the same
      ## timestamp order as the collection interval, with the maximum being 1s.
      ## ie, when interval = "10s", precision will be "1s"
      ## when interval = "250ms", precision will be "1ms"
      ## Precision will NOT be used for service inputs. It is up to each individual
      ## service input to set the timestamp at the appropriate precision.
      ## Valid time units are "ns", "us" (or "µs"), "ms", "s".
      precision = ""
    
      ## Log at debug level.
      # debug = false
      ## Log only error level messages.
      # quiet = false
    
      ## Log target controls the destination for logs and can be one of "file",
      ## "stderr" or, on Windows, "eventlog". When set to "file", the output file
      ## is determined by the "logfile" setting.
      # logtarget = "file"
    
      ## Name of the file to be logged to when using the "file" logtarget. If set to
      ## the empty string then logs are written to stderr.
      # logfile = ""
    
      ## The logfile will be rotated after the time interval specified. When set
      ## to 0 no time based rotation is performed. Logs are rotated only when
      ## written to, if there is no log activity rotation may be delayed.
      # logfile_rotation_interval = "0d"
    
      ## The logfile will be rotated when it becomes larger than the specified
      ## size. When set to 0 no size based rotation is performed.
      # logfile_rotation_max_size = "0MB"
    
      ## Maximum number of rotated archives to keep, any older logs are deleted.
      ## If set to -1, no archives are removed.
      # logfile_rotation_max_archives = 5
    
      ## Pick a timezone to use when logging or type 'local' for local time.
      ## Example: America/Chicago
      # log_with_timezone = ""
    
      ## Override default hostname, if empty use os.Hostname()
      hostname = ""
      ## If set to true, do no set the "host" tag in the telegraf agent.
      omit_hostname = false

### 2、outputs.influxdb ###

# Configuration for sending metrics to InfluxDB
    [[outputs.influxdb]]
      ## The full HTTP or UDP URL for your InfluxDB instance.
      ##
      ## Multiple URLs can be specified for a single cluster, only ONE of the
      ## urls will be written to each interval.
      # urls = ["unix:///var/run/influxdb.sock"]
      # urls = ["udp://127.0.0.1:8089"]
      # urls = ["http://127.0.0.1:8086"]
    
      ## The target database for metrics; will be created as needed.
      ## For UDP url endpoint database needs to be configured on server side.
      # database = "telegraf"
    
      ## The value of this tag will be used to determine the database. If this
      ## tag is not set the 'database' option is used as the default.
      # database_tag = ""
    
      ## If true, the 'database_tag' will not be included in the written metric.
      # exclude_database_tag = false
    
      ## If true, no CREATE DATABASE queries will be sent. Set to true when using
      ## Telegraf with a user without permissions to create databases or when the
      ## database already exists.
      # skip_database_creation = false
    
      ## Name of existing retention policy to write to. Empty string writes to
      ## the default retention policy. Only takes effect when using HTTP.
      # retention_policy = ""
    
      ## The value of this tag will be used to determine the retention policy. If this
      ## tag is not set the 'retention_policy' option is used as the default.
      # retention_policy_tag = ""
    
      ## If true, the 'retention_policy_tag' will not be included in the written metric.
      # exclude_retention_policy_tag = false
    
      ## Write consistency (clusters only), can be: "any", "one", "quorum", "all".
      ## Only takes effect when using HTTP.
      # write_consistency = "any"
    
      ## Timeout for HTTP messages.
      # timeout = "5s"
    
      ## HTTP Basic Auth
      # username = "telegraf"
      # password = "metricsmetricsmetricsmetrics"
    
      ## HTTP User-Agent
      # user_agent = "telegraf"
    
      ## UDP payload size is the maximum packet size to send.
      # udp_payload = "512B"
    
      ## Optional TLS Config for use on HTTP connections.
      # tls_ca = "/etc/telegraf/ca.pem"
      # tls_cert = "/etc/telegraf/cert.pem"
      # tls_key = "/etc/telegraf/key.pem"
      ## Use TLS but skip chain & host verification
      # insecure_skip_verify = false
    
      ## HTTP Proxy override, if unset values the standard proxy environment
      ## variables are consulted to determine which proxy, if any, should be used.
      # http_proxy = "http://corporate.proxy:3128"
    
      ## Additional HTTP headers
      # http_headers = {"X-Special-Header" = "Special-Value"}
    
      ## HTTP Content-Encoding for write request body, can be set to "gzip" to
      ## compress body or "identity" to apply no encoding.
      # content_encoding = "gzip"
    
      ## When true, Telegraf will output unsigned integers as unsigned values,
      ## i.e.: "42u". You will need a version of InfluxDB supporting unsigned
      ## integer values. Enabling this option will result in field type errors if
      ## existing data has been written.
      # influx_uint_support = false

### 3、inputs.zookeeper ###

# # Reads 'mntr' stats from one or many zookeeper servers
    # [[inputs.zookeeper]]
    # ## An array of address to gather stats about. Specify an ip or hostname
    # ## with port. ie localhost:2181, 10.0.0.1:2181, etc.
    #
    # ## If no servers are specified, then localhost is used as the host.
    # ## If no port is specified, 2181 is used
    # servers = [":2181"]
    #
    # ## Timeout for metric collections from all servers. Minimum timeout is "1s".
    # # timeout = "5s"
    #
    # ## Optional TLS Config
    # # enable_tls = true
    # # tls_ca = "/etc/telegraf/ca.pem"
    # # tls_cert = "/etc/telegraf/cert.pem"
    # # tls_key = "/etc/telegraf/key.pem"
    # ## If false, skip chain & host verification
    # # insecure_skip_verify = true

更多配置可参考：[https://github.com/influxdata/telegraf][https_github.com_influxdata_telegraf]

![在这里插入图片描述][watermark_type_ZHJvaWRzYW5zZmFsbGJhY2s_shadow_50_text_Q1NETiBA5b6Q5ZCM5a2m5ZGA_size_20_color_FFFFFF_t_70_g_se_x_16_pic_center 5]

## 六、注意事项 ##

### 1、四字命令不在白名单 ###

[root@Thu Sep 09 ~]# echo mntr | nc 127.0.0.1 2192
    mntr is not executed because it is not in the whitelist.

执行某些四字命令报了`not in the whitelist.`，需要在zk配置`zoo.conf`中加一行`4lw.commands.whitelist=*`，重启zk即可。

### 2、zk指标会因为zk版本而不同 ###

`mntr`在zk3.7.0指标会很多。而且未在Telegraf的配置中看到可以过滤指标的方式（[Tag Limit Processor Plugin][]是过滤tag key的）。默认`measurement`名称为`zookeeper`，未看到重命名的地方。

### 3、不要安装influxDB 2.0 ###

`influxDB 2.0`太新了，和`influxDB1.8`有比较大的差别，`influx`命令变了，启动配置路径也变了，翻了半天文档也没找到默认配置路径在哪里。。。，所以还是暂时老老实实安装`influxDB1.8`，可参考[influxdb基础（一）——influxdb安装与基本配置（centos）][influxdb_influxdb_centos]。

### 4、Telegraf好像只能收集mntr ###

未在`Telegraf`配置中找到配置zk四字命令的地方，默认是`mntr`。

### 5、Telegraf学习成本 ###

`Telegraf`上手成本低，除了输入插件和输出插件外，`Telegraf`还包括聚合器和处理器插件，它们用于聚合和处理通过Telegraf收集的指标，想对数据做复杂操作，有一定学习成本。

## 七、其他监控 ##

1、进程监控（JVM 监控），zk是一个运行的java进程，可以对其JVM做监控。

2、日志监控，zk出了问题，比如启动失败等，可以查看其运行日志 `/usr/local/zookeeper/apache-zookeeper-3.7.0/logs/zookeeper-root-server-xfyUbuntu.out`。

![zk运行日志][zk]

3、主机监控，需要对部署zk的机器做监控（`Telegraf`默认是开启机器监控的），CPU、负载、网络等。

## 八、参考文献 ##

1.  [https://zookeeper.apache.org/doc/current/zookeeperMonitor.html][https_zookeeper.apache.org_doc_current_zookeeperMonitor.html]
2.  [https://github.com/influxdata/telegraf][https_github.com_influxdata_telegraf]
3.  [https://rootnroll.com/d/telegraf/][https_rootnroll.com_d_telegraf]
4.  [https://www.influxdata.com/integration/apache-zookeeper/][https_www.influxdata.com_integration_apache-zookeeper]
5.  [https://docs.influxdata.com/telegraf/v1.19/][https_docs.influxdata.com_telegraf_v1.19]
6.  [https://www.infoq.cn/article/7yGNFUU\*au8AhrzFkX3z][https_www.infoq.cn_article_7yGNFUU_au8AhrzFkX3z]

*如若文章有错误理解，欢迎批评指正，同时非常期待你的留言和点赞。如果觉得有用，不妨来个一键三连，让更多人受益。*

[Prometheus]: https://prometheus.io/
[Grafana]: https://grafana.com/grafana/dashboards/10465
[JMX]: http://zookeeper.apache.org/doc/current/zookeeperJMX.html
[Four letter words]: http://zookeeper.apache.org/doc/current/zookeeperAdmin.html#sc_zkCommands
[watermark_type_ZHJvaWRzYW5zZmFsbGJhY2s_shadow_50_text_Q1NETiBA5b6Q5ZCM5a2m5ZGA_size_20_color_FFFFFF_t_70_g_se_x_16_pic_center]: /images/20220829/40e973696a674410b38de0f6abff9267.png
[watermark_type_ZHJvaWRzYW5zZmFsbGJhY2s_shadow_50_text_Q1NETiBA5b6Q5ZCM5a2m5ZGA_size_20_color_FFFFFF_t_70_g_se_x_16_pic_center 1]: /images/20220829/a1a968f358bf4eb0ae6b3c396c22c29c.png
[https_www.influxdata.com_get-influxdb]: https://www.influxdata.com/get-influxdb/
[watermark_type_ZHJvaWRzYW5zZmFsbGJhY2s_shadow_50_text_Q1NETiBA5b6Q5ZCM5a2m5ZGA_size_20_color_FFFFFF_t_70_g_se_x_16_pic_center 2]: /images/20220829/0a31b459feb744fbbcea08cca46ea92d.png
[watermark_type_ZHJvaWRzYW5zZmFsbGJhY2s_shadow_50_text_Q1NETiBA5b6Q5ZCM5a2m5ZGA_size_20_color_FFFFFF_t_70_g_se_x_16_pic_center 3]: /images/20220829/0a1e5d4ee451422281cb78d555146966.png
[watermark_type_ZHJvaWRzYW5zZmFsbGJhY2s_shadow_50_text_Q1NETiBA5b6Q5ZCM5a2m5ZGA_size_20_color_FFFFFF_t_70_g_se_x_16_pic_center 4]: /images/20220829/65e6452387a349d7ba69bf441e85f370.png
[https_github.com_influxdata_telegraf]: https://github.com/influxdata/telegraf
[watermark_type_ZHJvaWRzYW5zZmFsbGJhY2s_shadow_50_text_Q1NETiBA5b6Q5ZCM5a2m5ZGA_size_20_color_FFFFFF_t_70_g_se_x_16_pic_center 5]: /images/20220829/2bc37ef8791745a7bbef1a42d23facd5.png
[Tag Limit Processor Plugin]: https://github.com/influxdata/telegraf/tree/master/plugins/processors/tag_limit
[influxdb_influxdb_centos]: https://blog.csdn.net/weixin_36586120/article/details/109301294
[zk]: /images/20220829/8da033051b36448db60371a126516bcd.png
[https_zookeeper.apache.org_doc_current_zookeeperMonitor.html]: https://zookeeper.apache.org/doc/current/zookeeperMonitor.html
[https_rootnroll.com_d_telegraf]: https://rootnroll.com/d/telegraf/
[https_www.influxdata.com_integration_apache-zookeeper]: https://www.influxdata.com/integration/apache-zookeeper/
[https_docs.influxdata.com_telegraf_v1.19]: https://docs.influxdata.com/telegraf/v1.19/
[https_www.infoq.cn_article_7yGNFUU_au8AhrzFkX3z]: https://www.infoq.cn/article/7yGNFUU*au8AhrzFkX3z