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  • telegraf input的配置

    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

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  • 原文地址:https://www.cnblogs.com/smail-bao/p/7002361.html
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