telegraf input的配置

最新推荐文章于 2025-07-15 19:10:00 发布
weixin_33859665
最新推荐文章于 2025-07-15 19:10:00 发布
阅读量751
点赞数
文章标签： json 大数据网络
本文提供了一套全面的系统监控配置方案，包括操作系统基础监控、Docker容器、MySQL、HAProxy、Nginx、Kafka、ZooKeeper、Redis、HTTP网站、Ceph等多个方面的监控配置示例。
摘要生成于 C知道，由 DeepSeek-R1 满血版支持，前往体验 >
1.操作系统基础监控指标配置标准
基础监控使用通用的全局配置文件telegraf.conf，以下只贴上采集器input部分代码

telegraf -config /etc/telegraf/telegraf.d/telegraf.conf -input-filter http_response -test


# Read metrics about cpu usage
[[inputs.cpu]]
  interval = “60s”
  percpu = true
  totalcpu = true
  fielddrop = [“time*”]
# Read metrics about disk usage by mount point
[[inputs.disk]]
  interval = “10m”
  # mount_points = [“/”]
  ignore_fs = [“tmpfs”, “devtmpfs”]
# Read metrics about disk IO by device
[[inputs.diskio]]
  interval = “60s”
# Get kernel statistics from /proc/stat
[[inputs.kernel]]
  interval = “10m”
# Read metrics about memory usage
[[inputs.mem]]
  interval = “10m”
# Get the number of processes and group them by status
[[inputs.processes]]
  interval = “10m”
  fielddrop = [“wait”,”idle”,”unknown”]
# Read metrics about swap memory usage
[[inputs.swap]]
  interval = “1h”
  fieldpass = [“used_percent”]
# Read metrics about system load & uptime
[[inputs.system]]
  interval = “2m”
# # Read metrics about network interface usage
 [[inputs.net]]
  interval = “60s”
  fieldpass = [“packets_*”,”bytes_*”,”drop_*”,”err_*”]
# # Read TCP metrics such as established, time wait and sockets counts.
 [[inputs.netstat]]
 interval = “5m”
 fielddrop = [“tcp_none”,”tcp_closing”,”tcp_close*”]
# # Read ping metrics
[[inputs.ping]]
 urls = [“www.qq.com”]
 count = 1
 ping_interval = 0.0
 timeout = 0.0
 interface = “eth0”

2.docker容器监控配置标准
对于基础监控之外的指标监控，需要使用新的配置文件，指定采集器的采集标准和配置，以及输出数据库（可选非必要），下同。
[[inputs.docker]]
   interval = “5m”
   endpoint = “unix:///var/run/docker.sock”
   container_names = []
   timeout = “10s”
   perdevice = true
   total = false
3.mysql监控配置标准
# Read metrics from one or many mysql servers
[root@10-19-6-138 telegraf.d]# cat telegraf_mysql.conf 
[[inputs.mysql]]
  interval = "5m" 采集频率
  servers = ["root:kgzg789@tcp(127.0.0.1:3306)/?tls=false"] 采集配置
  perf_events_statements_digest_text_limit  = 120
  perf_events_statements_limit              = 250
  perf_events_statements_time_limit         = 86400
  table_schema_databases                    = [""]
  gather_table_schema                       = false
  
  gather_process_list                       = true
  
  gather_info_schema_auto_inc               = true
  
  gather_slave_status                       = true
  gather_binary_logs                        = false
  gather_table_io_waits                     = false
  gather_table_lock_waits                   = false
  gather_index_io_waits                     = false
  gather_event_waits                        = false
  gather_file_events_stats                  = false
  interval_slow                             = "30m"

4.haproxy配置标准
#vim /etc/telegraf/telegraf.d/mysql.conf

[inputs.haproxy]
        interval = “60s”                   #input采集频率
        servers = [“/var/run/haproxy.sock”]             #input参数配置

5.nginx配置标准
[[inputs.nginx]]
  interval = “60s”
  urls = [“http://localhost/server_status”]   

6.kafka配置标准
[[inputs.kafka_consumer]]
  topics = [“telegraf”]
  zookeeper_peers = [“localhost:2181”]
  consumer_group = “telegraf_metrics_consumers”
  metric_buffer = 100000
  offset = “oldest”
  data_format = “influx”


7.zookeeper配置标准
[[inputs.zookeeper]]
   servers = [“:2181”]

8.ovirt配置标准
9.redis配置标准
# # Read metrics from one or many redis servers
 [[inputs.redis]]
   interval = “5m”
   unix:///var/run/redis.sock
   servers = [“tcp://localhost:6379”]

10.http网站监控
[[inputs.http_response]]

      interval = “1m”
      address = “http://abc.com”
      response_timeout = “15s”
      method = “GET”
      follow_redirects = true
11.Ceph监控
[[inputs.ceph]]
  interval = ‘1m’
  ceph_binary = “/usr/bin/ceph”
  socket_dir = “/var/run/ceph”
  mon_prefix = “ceph-mon”
  osd_prefix = “ceph-osd”
  socket_suffix = “asok”
  ceph_user = “client.admin”
  ceph_config = “/etc/ceph/ceph.conf”
  gather_admin_socket_stats = true
  gather_cluster_stats = false
12.ping监控
单独使用场景：主要作为WAN链路监控，URL监控的监测手段
[[inputs.ping]]
     urls = [“www.qq.com”]
     count = 1
     ping_interval = 0.0
     timeout = 0.0
     interface = “eth0”

13.tcp端口监控
使用场景：主要作为本机端口应用监控
# # Generic TCP listener
[[inputs.tcp_listener]]
     service_address = “:8094”
     allowed_pending_messages = 10000
     max_tcp_connections = 250
     data_format = “influx”
14.端口流量监控
使用场景：主要作为入口或者外出服务器或者防火墙的端口流量监控
15.IPMI监控
使用场景：主要作为物理机器基础电力设施的指标监控
# #IPMI1# # 
[[inputs.ipmi_sensor]]
  servers = [“root:password@lanplus(10.8.81.15)”]

16.http-json格式监控
使用场景：在特殊应用无任何匹配模板时，可使用json格式化数据后进行指标收集；
# [[inputs.httpjson]]
   name = “webserver_stats”
   servers = [
     “http://localhost:9999/stats/”,
     “http://localhost:9998/stats/”,
                   ]
   method = “GET”
   tag_keys = [
  “my_tag_1”,
   “my_tag_2”
                 ]



17.自定义sh脚本监控
使用场景：在以上都没有可用的监控采集配置外，可以使用自定义脚本格式收集指标；
[[inputs.exec]]
    commands = [“/tmp/test.sh”,]
    timeout = “15s”
    data_format = “json”
    name_suffix = “_mycollector”
18.SQLserver监控
使用场景：用于监控SQLserver数据库性能
[[inputs.sqlserver]]
   servers = [
    “Server=192.168.1.30;Port=1433;User Id=telegraf;Password=T$l$gr@f69*;app name=dbname;log=1;”
    ]
原文：http://www.lvkaineng.com/235.html