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# Telegraf Configuration
#
# Telegraf is entirely plugin driven. All metrics are gathered from the
# declared inputs, and sent to the declared outputs.
#
# Plugins must be declared in here to be active.
# To deactivate a plugin, comment out the name and any variables.
#
# Use 'telegraf -config telegraf.conf -test' to see what metrics a config
# file would generate.
#
# Environment variables can be used anywhere in this config file, simply prepend
# them with $. For strings the variable must be within quotes (ie, "$STR_VAR"),
# for numbers and booleans they should be plain (ie, $INT_VAR, $BOOL_VAR)


# Global tags can be specified here in key="value" format.
[global_tags]
  # dc = "us-east-1" # will tag all metrics with dc=us-east-1
  # rack = "1a"
  ## Environment variables can be used as tags, and throughout the config file
  # user = "$USER"


# Configuration for telegraf 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

  ## For failed writes, telegraf will cache metric_buffer_limit metrics for each
  ## output, and will flush this buffer on a successful write. Oldest metrics
  ## are dropped first when this buffer fills.
  ## This buffer only fills when writes fail to output plugin(s).
  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 = ""

  ## Logging configuration:
  ## Run telegraf with debug log messages.
  debug = false
  ## Run telegraf in quiet mode (error log messages only).
  quiet = false
  ## Specify the log file name. The empty string means to log to stderr.
  logfile = ""

  ## 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


###############################################################################
#                            OUTPUT PLUGINS                                   #
###############################################################################

# Configuration for sending metrics to InfluxDB
[[outputs.influxdb]]
urls = ["http://127.0.0.1:8086"]
database = “telegraf”
username = “telegraf”
password = “yourpassword”


###############################################################################
#                            INPUT PLUGINS                                    #
###############################################################################

# Read metrics about cpu usage
[[inputs.cpu]]
  ## Whether to report per-cpu stats or not
  percpu = true
  ## Whether to report total system cpu stats or not
  totalcpu = true
  ## If true, collect raw CPU time metrics.
  collect_cpu_time = false
  ## If true, compute and report the sum of all non-idle CPU states.
  report_active = false


# Read metrics about disk usage by mount point
[[inputs.disk]]
  ## By default stats will be gathered for all mount points.
  ## Set mount_points will restrict the stats to only the specified mount points.
  # mount_points = ["/"]

  ## Ignore mount points by filesystem type.
  ignore_fs = ["tmpfs", "devtmpfs", "devfs", "overlay", "aufs", "squashfs"]


# Read metrics about disk IO by device
[[inputs.diskio]]
  ## By default, telegraf will gather stats for all devices including
  ## disk partitions.
  ## Setting devices will restrict the stats to the specified devices.
  # devices = ["sda", "sdb", "vd*"]
  ## Uncomment the following line if you need disk serial numbers.
  # skip_serial_number = false
  #
  ## On systems which support it, device metadata can be added in the form of
  ## tags.
  ## Currently only Linux is supported via udev properties. You can view
  ## available properties for a device by running:
  ## 'udevadm info -q property -n /dev/sda'
  # device_tags = ["ID_FS_TYPE", "ID_FS_USAGE"]
  #
  ## Using the same metadata source as device_tags, you can also customize the
  ## name of the device via templates.
  ## The 'name_templates' parameter is a list of templates to try and apply to
  ## the device. The template may contain variables in the form of '$PROPERTY' or
  ## '${PROPERTY}'. The first template which does not contain any variables not
  ## present for the device is used as the device name tag.
  ## The typical use case is for LVM volumes, to get the VG/LV name instead of
  ## the near-meaningless DM-0 name.
  # name_templates = ["$ID_FS_LABEL","$DM_VG_NAME/$DM_LV_NAME"]


# Get kernel statistics from /proc/stat
[[inputs.kernel]]
  # no configuration


# Read metrics about memory usage
[[inputs.mem]]
  # no configuration


# Get the number of processes and group them by status
[[inputs.processes]]
  # no configuration


# Read metrics about swap memory usage
[[inputs.swap]]
  # no configuration


# Read metrics about system load & uptime
[[inputs.system]]
  # no configuration


# # Retrieves SNMP values from remote agents
 [[inputs.snmp]]
   agents = [ "192.168.100.251:161" ]
#   ## Timeout for each SNMP query.
#   timeout = "5s"
#   ## Number of retries to attempt within timeout.
#   retries = 3
#   ## SNMP version, values can be 1, 2, or 3
#   version = 2
#
#   ## SNMP community string.
   community = "public"
#
#   ## The GETBULK max-repetitions parameter
#   max_repetitions = 10
#
#   ## SNMPv3 auth parameters
#   #sec_name = "myuser"
#   #auth_protocol = "md5"      # Values: "MD5", "SHA", ""
#   #auth_password = "pass"
#   #sec_level = "authNoPriv"   # Values: "noAuthNoPriv", "authNoPriv", "authPriv"
#   #context_name = ""
#   #priv_protocol = ""         # Values: "DES", "AES", ""
#   #priv_password = ""
#

 [[inputs.snmp.field]]
    name = "hostname"
    oid = "RFC1213-MIB::sysName.0"
    is_tag = true

  [[inputs.snmp.field]]
    name = "uptime"
    oid = "DISMAN-EXPRESSION-MIB::sysUpTimeInstance"


  [[inputs.snmp.field]]
      name = "upsBasicBatteryTimeOnBattery"
      oid = "SNMPv2-SMI::mib-2.33.1.2.3.0"

  [[inputs.snmp.field]]
      name = "upsAdvBatteryRunTimeRemaining"
      oid = "PowerNet-MIB::upsAdvBatteryRunTimeRemaining.0"

  [[inputs.snmp.field]]
      name = "upsAdvBatteryReplaceIndicator"
      oid = "PowerNet-MIB::upsAdvBatteryReplaceIndicator.0"

  [[inputs.snmp.field]]
      name = "upsHighPrecBatteryCapacity"
      oid = "PowerNet-MIB::upsHighPrecBatteryCapacity.0"
      conversion = "float(1)"

  [[inputs.snmp.field]]
      name = "upsHighPrecBatteryTemperature"
      oid = "PowerNet-MIB::upsHighPrecBatteryTemperature.0"
      conversion = "float(1)"

  [[inputs.snmp.field]]
      name = "upsBasicOutputStatus"
      oid = "PowerNet-MIB::upsBasicOutputStatus.0"

  [[inputs.snmp.field]]
      name = "upsHighPrecOutputLoad"
      oid = "PowerNet-MIB::upsHighPrecOutputLoad.0"
      conversion = "float(1)"

  [[inputs.snmp.field]]
      name = "upsHighPrecOutputEfficiency"
      oid = "PowerNet-MIB::upsHighPrecOutputEfficiency.0"
      conversion = "float(1)"

  [[inputs.snmp.field]]
      name = "upsHighPrecOutputVoltage"
      oid = "PowerNet-MIB::upsHighPrecOutputVoltage.0"
      conversion = "float(1)"

  [[inputs.snmp.field]]
      name = "upsHighPrecInputLineVoltage"
      oid = "PowerNet-MIB::upsHighPrecInputLineVoltage.0"
      conversion = "float(1)"

  [[inputs.snmp.field]]
      name = "upsHighPrecOutputCurrent"
      oid = "PowerNet-MIB::upsHighPrecOutputCurrent.0"
      conversion = "float(1)"

  [[inputs.snmp.field]]
      name = "upsHighPrecOutputEnergyUsage"
      oid = "PowerNet-MIB::upsHighPrecOutputEnergyUsage.0"
      conversion = "float(1)"


  # IF-MIB::ifTable contains counters on input and output traffic as well as errors and discards.
  [[inputs.snmp.table]]
    name = "interface"
    inherit_tags = [ "hostname" ]
    oid = "IF-MIB::ifTable"

    # Interface tag - used to identify interface in metrics database
    [[inputs.snmp.table.field]]
      name = "ifDescr"
      oid = "IF-MIB::ifDescr"
      is_tag = true

  # IF-MIB::ifXTable contains newer High Capacity (HC) counters that do not overflow as fast for a few of the ifTable counters
  [[inputs.snmp.table]]
    name = "interface"
    inherit_tags = [ "hostname" ]
    oid = "IF-MIB::ifXTable"

    # Interface tag - used to identify interface in metrics database
    [[inputs.snmp.table.field]]
      name = "ifDescr"
      oid = "IF-MIB::ifDescr"
      is_tag = true

  # EtherLike-MIB::dot3StatsTable contains detailed ethernet-level information about what kind of errors have been logged on an interface (such as FCS error, frame too long, etc)
  [[inputs.snmp.table]]
    name = "interface"
    inherit_tags = [ "hostname" ]
    oid = "EtherLike-MIB::dot3StatsTable"

    # Interface tag - used to identify interface in metrics database
    [[inputs.snmp.table.field]]
      name = "ifDescr"
      oid = "IF-MIB::ifDescr"
      is_tag = true


#   ## measurement name
#   name = "system"
#   [[inputs.snmp.field]]
#     name = "hostname"
#     oid = ".1.0.0.1.1"
#   [[inputs.snmp.field]]
#     name = "uptime"
#     oid = ".1.0.0.1.2"
#   [[inputs.snmp.field]]
#     name = "load"
#     oid = ".1.0.0.1.3"
#   [[inputs.snmp.field]]
#     oid = "HOST-RESOURCES-MIB::hrMemorySize"
#
#   [[inputs.snmp.table]]
#     ## measurement name
#     name = "remote_servers"
#     inherit_tags = [ "hostname" ]
#     [[inputs.snmp.table.field]]
#       name = "server"
#       oid = ".1.0.0.0.1.0"
#       is_tag = true
#     [[inputs.snmp.table.field]]
#       name = "connections"
#       oid = ".1.0.0.0.1.1"
#     [[inputs.snmp.table.field]]
#       name = "latency"
#       oid = ".1.0.0.0.1.2"
#
#   [[inputs.snmp.table]]
#     ## auto populate table's fields using the MIB
#     oid = "HOST-RESOURCES-MIB::hrNetworkTable"


# # DEPRECATED! PLEASE USE inputs.snmp INSTEAD.
# [[inputs.snmp_legacy]]
#   ## Use 'oids.txt' file to translate oids to names
#   ## To generate 'oids.txt' you need to run:
#   ##   snmptranslate -m all -Tz -On | sed -e 's/"//g' > /tmp/oids.txt
#   ## Or if you have an other MIB folder with custom MIBs
#   ##   snmptranslate -M /mycustommibfolder -Tz -On -m all | sed -e 's/"//g' > oids.txt
#   snmptranslate_file = "/tmp/oids.txt"
#   [[inputs.snmp.host]]
#     address = "192.168.2.2:161"
#     # SNMP community
#     community = "public" # default public
#     # SNMP version (1, 2 or 3)
#     # Version 3 not supported yet
#     version = 2 # default 2
#     # SNMP response timeout
#     timeout = 2.0 # default 2.0
#     # SNMP request retries
#     retries = 2 # default 2
#     # Which get/bulk do you want to collect for this host
#     collect = ["mybulk", "sysservices", "sysdescr"]
#     # Simple list of OIDs to get, in addition to "collect"
#     get_oids = []
#
#   [[inputs.snmp.host]]
#     address = "192.168.2.3:161"
#     community = "public"
#     version = 2
#     timeout = 2.0
#     retries = 2
#     collect = ["mybulk"]
#     get_oids = [
#         "ifNumber",
#         ".1.3.6.1.2.1.1.3.0",
#     ]
#
#   [[inputs.snmp.get]]
#     name = "ifnumber"
#     oid = "ifNumber"
#
#   [[inputs.snmp.get]]
#     name = "interface_speed"
#     oid = "ifSpeed"
#     instance = "0"
#
#   [[inputs.snmp.get]]
#     name = "sysuptime"
#     oid = ".1.3.6.1.2.1.1.3.0"
#     unit = "second"
#
#   [[inputs.snmp.bulk]]
#     name = "mybulk"
#     max_repetition = 127
#     oid = ".1.3.6.1.2.1.1"
#
#   [[inputs.snmp.bulk]]
#     name = "ifoutoctets"
#     max_repetition = 127
#     oid = "ifOutOctets"
#
#   [[inputs.snmp.host]]
#     address = "192.168.2.13:161"
#     #address = "127.0.0.1:161"
#     community = "public"
#     version = 2
#     timeout = 2.0
#     retries = 2
#     #collect = ["mybulk", "sysservices", "sysdescr", "systype"]
#     collect = ["sysuptime" ]
#     [[inputs.snmp.host.table]]
#       name = "iftable3"
#       include_instances = ["enp5s0", "eth1"]
#
#   # SNMP TABLEs
#   # table without mapping neither subtables
#   [[inputs.snmp.table]]
#     name = "iftable1"
#     oid = ".1.3.6.1.2.1.31.1.1.1"
#
#   # table without mapping but with subtables
#   [[inputs.snmp.table]]
#     name = "iftable2"
#     oid = ".1.3.6.1.2.1.31.1.1.1"
#     sub_tables = [".1.3.6.1.2.1.2.2.1.13"]
#
#   # table with mapping but without subtables
#   [[inputs.snmp.table]]
#     name = "iftable3"
#     oid = ".1.3.6.1.2.1.31.1.1.1"
#     # if empty. get all instances
#     mapping_table = ".1.3.6.1.2.1.31.1.1.1.1"
#     # if empty, get all subtables
#
#   # table with both mapping and subtables
#   [[inputs.snmp.table]]
#     name = "iftable4"
#     oid = ".1.3.6.1.2.1.31.1.1.1"
#     # if empty get all instances
#     mapping_table = ".1.3.6.1.2.1.31.1.1.1.1"
#     # if empty get all subtables
#     # sub_tables could be not "real subtables"
#     sub_tables=[".1.3.6.1.2.1.2.2.1.13", "bytes_recv", "bytes_send"]


# # Read stats from one or more Solr servers or cores
# [[inputs.solr]]
#   ## specify a list of one or more Solr servers
#   servers = ["http://localhost:8983"]
#
#   ## specify a list of one or more Solr cores (default - all)
#   # cores = ["main"]


# # Read metrics from Microsoft SQL Server
# [[inputs.sqlserver]]
#   ## Specify instances to monitor with a list of connection strings.
#   ## All connection parameters are optional.
#   ## By default, the host is localhost, listening on default port, TCP 1433.
#   ##   for Windows, the user is the currently running AD user (SSO).
#   ##   See https://github.com/denisenkom/go-mssqldb for detailed connection
#   ##   parameters.
#   # servers = [
#   #  "Server=192.168.1.10;Port=1433;User Id=<user>;Password=<pw>;app name=telegraf;log=1;",
#   # ]
#
#   ## Optional parameter, setting this to 2 will use a new version
#   ## of the collection queries that break compatibility with the original
#   ## dashboards.
#   query_version = 2
#
#   ## If you are using AzureDB, setting this to true will gather resource utilization metrics
#   # azuredb = false
#
#   ## If you would like to exclude some of the metrics queries, list them here
#   ## Possible choices:
#   ## - PerformanceCounters
#   ## - WaitStatsCategorized
#   ## - DatabaseIO
#   ## - DatabaseProperties
#   ## - CPUHistory
#   ## - DatabaseSize
#   ## - DatabaseStats
#   ## - MemoryClerk
#   ## - VolumeSpace
#   ## - PerformanceMetrics
#   # exclude_query = [ 'DatabaseIO' ]


# # Sysstat metrics collector
# [[inputs.sysstat]]
#   ## Path to the sadc command.
#   #
#   ## Common Defaults:
#   ##   Debian/Ubuntu: /usr/lib/sysstat/sadc
#   ##   Arch:          /usr/lib/sa/sadc
#   ##   RHEL/CentOS:   /usr/lib64/sa/sadc
#   sadc_path = "/usr/lib/sa/sadc" # required
#   #
#   #
#   ## Path to the sadf command, if it is not in PATH
#   # sadf_path = "/usr/bin/sadf"
#   #
#   #
#   ## Activities is a list of activities, that are passed as argument to the
#   ## sadc collector utility (e.g: DISK, SNMP etc...)
#   ## The more activities that are added, the more data is collected.
#   # activities = ["DISK"]
#   #
#   #
#   ## Group metrics to measurements.
#   ##
#   ## If group is false each metric will be prefixed with a description
#   ## and represents itself a measurement.
#   ##
#   ## If Group is true, corresponding metrics are grouped to a single measurement.
#   # group = true
#   #
#   #
#   ## Options for the sadf command. The values on the left represent the sadf
#   ## options and the values on the right their description (which are used for
#   ## grouping and prefixing metrics).
#   ##
#   ## Run 'sar -h' or 'man sar' to find out the supported options for your
#   ## sysstat version.
#   [inputs.sysstat.options]
#     -C = "cpu"
#     -B = "paging"
#     -b = "io"
#     -d = "disk"             # requires DISK activity
#     "-n ALL" = "network"
#     "-P ALL" = "per_cpu"
#     -q = "queue"
#     -R = "mem"
#     -r = "mem_util"
#     -S = "swap_util"
#     -u = "cpu_util"
#     -v = "inode"
#     -W = "swap"
#     -w = "task"
#   #  -H = "hugepages"        # only available for newer linux distributions
#   #  "-I ALL" = "interrupts" # requires INT activity
#   #
#   #
#   ## Device tags can be used to add additional tags for devices.
#   ## For example the configuration below adds a tag vg with value rootvg for
#   ## all metrics with sda devices.
#   # [[inputs.sysstat.device_tags.sda]]
#   #  vg = "rootvg"


# # Reads metrics from a Teamspeak 3 Server via ServerQuery
# [[inputs.teamspeak]]
#   ## Server address for Teamspeak 3 ServerQuery
#   # server = "127.0.0.1:10011"
#   ## Username for ServerQuery
#   username = "serverqueryuser"
#   ## Password for ServerQuery
#   password = "secret"
#   ## Array of virtual servers
#   # virtual_servers = [1]


# # Read metrics about temperature
# [[inputs.temp]]
#   # no configuration


# # Read Tengine's basic status information (ngx_http_reqstat_module)
# [[inputs.tengine]]
#   # An array of Tengine reqstat module URI to gather stats.
#   urls = ["http://127.0.0.1/us"]
#
#   # HTTP response timeout (default: 5s)
#   # response_timeout = "5s"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.cer"
#   # tls_key = "/etc/telegraf/key.key"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Gather metrics from the Tomcat server status page.
# [[inputs.tomcat]]
#   ## URL of the Tomcat server status
#   # url = "http://127.0.0.1:8080/manager/status/all?XML=true"
#
#   ## HTTP Basic Auth Credentials
#   # username = "tomcat"
#   # password = "s3cret"
#
#   ## Request timeout
#   # timeout = "5s"
#
#   ## Optional TLS Config
#   # 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


# # Inserts sine and cosine waves for demonstration purposes
# [[inputs.trig]]
#   ## Set the amplitude
#   amplitude = 10.0


# # Read Twemproxy stats data
# [[inputs.twemproxy]]
#   ## Twemproxy stats address and port (no scheme)
#   addr = "localhost:22222"
#   ## Monitor pool name
#   pools = ["redis_pool", "mc_pool"]


# # A plugin to collect stats from the Unbound DNS resolver
# [[inputs.unbound]]
#   ## Address of server to connect to, read from unbound conf default, optionally ':port'
#   ## Will lookup IP if given a hostname
#   server = "127.0.0.1:8953"
#
#   ## If running as a restricted user you can prepend sudo for additional access:
#   # use_sudo = false
#
#   ## The default location of the unbound-control binary can be overridden with:
#   # binary = "/usr/sbin/unbound-control"
#
#   ## The default timeout of 1s can be overriden with:
#   # timeout = "1s"
#
#   ## When set to true, thread metrics are tagged with the thread id.
#   ##
#   ## The default is false for backwards compatibility, and will be change to
#   ## true in a future version.  It is recommended to set to true on new
#   ## deployments.
#   thread_as_tag = false


# # A plugin to collect stats from Varnish HTTP Cache
# [[inputs.varnish]]
#   ## If running as a restricted user you can prepend sudo for additional access:
#   #use_sudo = false
#
#   ## The default location of the varnishstat binary can be overridden with:
#   binary = "/usr/bin/varnishstat"
#
#   ## By default, telegraf gather stats for 3 metric points.
#   ## Setting stats will override the defaults shown below.
#   ## Glob matching can be used, ie, stats = ["MAIN.*"]
#   ## stats may also be set to ["*"], which will collect all stats
#   stats = ["MAIN.cache_hit", "MAIN.cache_miss", "MAIN.uptime"]
#
#   ## Optional name for the varnish instance (or working directory) to query
#   ## Usually appened after -n in varnish cli
#   # instance_name = instanceName


# # Monitor wifi signal strength and quality
# [[inputs.wireless]]
#   ## Sets 'proc' directory path
#   ## If not specified, then default is /proc
#   # host_proc = "/proc"


# # Reads metrics from a SSL certificate
# [[inputs.x509_cert]]
#   ## List certificate sources
#   sources = ["/etc/ssl/certs/ssl-cert-snakeoil.pem", "tcp://example.org:443"]
#
#   ## Timeout for SSL connection
#   # timeout = "5s"
#
#   ## Optional TLS Config
#   # 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


# # Read metrics of ZFS from arcstats, zfetchstats, vdev_cache_stats, and pools
# [[inputs.zfs]]
#   ## ZFS kstat path. Ignored on FreeBSD
#   ## If not specified, then default is:
#   # kstatPath = "/proc/spl/kstat/zfs"
#
#   ## By default, telegraf gather all zfs stats
#   ## If not specified, then default is:
#   # kstatMetrics = ["arcstats", "zfetchstats", "vdev_cache_stats"]
#   ## For Linux, the default is:
#   # kstatMetrics = ["abdstats", "arcstats", "dnodestats", "dbufcachestats",
#   #   "dmu_tx", "fm", "vdev_mirror_stats", "zfetchstats", "zil"]
#   ## By default, don't gather zpool stats
#   # poolMetrics = false


# # 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


###############################################################################
#                            SERVICE INPUT PLUGINS                            #
###############################################################################

# # AMQP consumer plugin
# [[inputs.amqp_consumer]]
#   ## Broker to consume from.
#   ##   deprecated in 1.7; use the brokers option
#   # url = "amqp://localhost:5672/influxdb"
#
#   ## Brokers to consume from.  If multiple brokers are specified a random broker
#   ## will be selected anytime a connection is established.  This can be
#   ## helpful for load balancing when not using a dedicated load balancer.
#   brokers = ["amqp://localhost:5672/influxdb"]
#
#   ## Authentication credentials for the PLAIN auth_method.
#   # username = ""
#   # password = ""
#
#   ## Exchange to declare and consume from.
#   exchange = "telegraf"
#
#   ## Exchange type; common types are "direct", "fanout", "topic", "header", "x-consistent-hash".
#   # exchange_type = "topic"
#
#   ## If true, exchange will be passively declared.
#   # exchange_passive = false
#
#   ## Exchange durability can be either "transient" or "durable".
#   # exchange_durability = "durable"
#
#   ## Additional exchange arguments.
#   # exchange_arguments = { }
#   # exchange_arguments = {"hash_propery" = "timestamp"}
#
#   ## AMQP queue name.
#   queue = "telegraf"
#
#   ## AMQP queue durability can be "transient" or "durable".
#   queue_durability = "durable"
#
#   ## Binding Key.
#   binding_key = "#"
#
#   ## Maximum number of messages server should give to the worker.
#   # prefetch_count = 50
#
#   ## Maximum messages to read from the broker that have not been written by an
#   ## output.  For best throughput set based on the number of metrics within
#   ## each message and the size of the output's metric_batch_size.
#   ##
#   ## For example, if each message from the queue contains 10 metrics and the
#   ## output metric_batch_size is 1000, setting this to 100 will ensure that a
#   ## full batch is collected and the write is triggered immediately without
#   ## waiting until the next flush_interval.
#   # max_undelivered_messages = 1000
#
#   ## Auth method. PLAIN and EXTERNAL are supported
#   ## Using EXTERNAL requires enabling the rabbitmq_auth_mechanism_ssl plugin as
#   ## described here: https://www.rabbitmq.com/plugins.html
#   # auth_method = "PLAIN"
#
#   ## Optional TLS Config
#   # 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
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = "influx"


# # Read Cassandra metrics through Jolokia
# [[inputs.cassandra]]
#   ## DEPRECATED: The cassandra plugin has been deprecated.  Please use the
#   ## jolokia2 plugin instead.
#   ##
#   ## see https://github.com/influxdata/telegraf/tree/master/plugins/inputs/jolokia2
#
#   context = "/jolokia/read"
#   ## List of cassandra servers exposing jolokia read service
#   servers = ["myuser:mypassword@10.10.10.1:8778","10.10.10.2:8778",":8778"]
#   ## List of metrics collected on above servers
#   ## Each metric consists of a jmx path.
#   ## This will collect all heap memory usage metrics from the jvm and
#   ## ReadLatency metrics for all keyspaces and tables.
#   ## "type=Table" in the query works with Cassandra3.0. Older versions might
#   ## need to use "type=ColumnFamily"
#   metrics  = [
#     "/java.lang:type=Memory/HeapMemoryUsage",
#     "/org.apache.cassandra.metrics:type=Table,keyspace=*,scope=*,name=ReadLatency"
#   ]


# # Influx HTTP write listener
# [[inputs.http_listener]]
#   ## Address and port to host HTTP listener on
#   service_address = ":8186"
#
#   ## maximum duration before timing out read of the request
#   read_timeout = "10s"
#   ## maximum duration before timing out write of the response
#   write_timeout = "10s"
#
#   ## Maximum allowed http request body size in bytes.
#   ## 0 means to use the default of 524,288,000 bytes (500 mebibytes)
#   max_body_size = "500MiB"
#
#   ## Maximum line size allowed to be sent in bytes.
#   ## 0 means to use the default of 65536 bytes (64 kibibytes)
#   max_line_size = "64KiB"
#
#   ## Set one or more allowed client CA certificate file names to
#   ## enable mutually authenticated TLS connections
#   tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"]
#
#   ## Add service certificate and key
#   tls_cert = "/etc/telegraf/cert.pem"
#   tls_key = "/etc/telegraf/key.pem"
#
#   ## Optional username and password to accept for HTTP basic authentication.
#   ## You probably want to make sure you have TLS configured above for this.
#   # basic_username = "foobar"
#   # basic_password = "barfoo"


# # Generic HTTP write listener
# [[inputs.http_listener_v2]]
#   ## Address and port to host HTTP listener on
#   service_address = ":8080"
#
#   ## Path to listen to.
#   # path = "/telegraf"
#
#   ## HTTP methods to accept.
#   # methods = ["POST", "PUT"]
#
#   ## maximum duration before timing out read of the request
#   # read_timeout = "10s"
#   ## maximum duration before timing out write of the response
#   # write_timeout = "10s"
#
#   ## Maximum allowed http request body size in bytes.
#   ## 0 means to use the default of 524,288,00 bytes (500 mebibytes)
#   # max_body_size = "500MB"
#
#   ## Set one or more allowed client CA certificate file names to
#   ## enable mutually authenticated TLS connections
#   # tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"]
#
#   ## Add service certificate and key
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#
#   ## Optional username and password to accept for HTTP basic authentication.
#   ## You probably want to make sure you have TLS configured above for this.
#   # basic_username = "foobar"
#   # basic_password = "barfoo"
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = "influx"


# # Influx HTTP write listener
# [[inputs.influxdb_listener]]
#   ## Address and port to host HTTP listener on
#   service_address = ":8186"
#
#   ## maximum duration before timing out read of the request
#   read_timeout = "10s"
#   ## maximum duration before timing out write of the response
#   write_timeout = "10s"
#
#   ## Maximum allowed http request body size in bytes.
#   ## 0 means to use the default of 524,288,000 bytes (500 mebibytes)
#   max_body_size = "500MiB"
#
#   ## Maximum line size allowed to be sent in bytes.
#   ## 0 means to use the default of 65536 bytes (64 kibibytes)
#   max_line_size = "64KiB"
#
#   ## Set one or more allowed client CA certificate file names to
#   ## enable mutually authenticated TLS connections
#   tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"]
#
#   ## Add service certificate and key
#   tls_cert = "/etc/telegraf/cert.pem"
#   tls_key = "/etc/telegraf/key.pem"
#
#   ## Optional username and password to accept for HTTP basic authentication.
#   ## You probably want to make sure you have TLS configured above for this.
#   # basic_username = "foobar"
#   # basic_password = "barfoo"


# # Read JTI OpenConfig Telemetry from listed sensors
# [[inputs.jti_openconfig_telemetry]]
#   ## List of device addresses to collect telemetry from
#   servers = ["localhost:1883"]
#
#   ## Authentication details. Username and password are must if device expects
#   ## authentication. Client ID must be unique when connecting from multiple instances
#   ## of telegraf to the same device
#   username = "user"
#   password = "pass"
#   client_id = "telegraf"
#
#   ## Frequency to get data
#   sample_frequency = "1000ms"
#
#   ## Sensors to subscribe for
#   ## A identifier for each sensor can be provided in path by separating with space
#   ## Else sensor path will be used as identifier
#   ## When identifier is used, we can provide a list of space separated sensors.
#   ## A single subscription will be created with all these sensors and data will
#   ## be saved to measurement with this identifier name
#   sensors = [
#    "/interfaces/",
#    "collection /components/ /lldp",
#   ]
#
#   ## We allow specifying sensor group level reporting rate. To do this, specify the
#   ## reporting rate in Duration at the beginning of sensor paths / collection
#   ## name. For entries without reporting rate, we use configured sample frequency
#   sensors = [
#    "1000ms customReporting /interfaces /lldp",
#    "2000ms collection /components",
#    "/interfaces",
#   ]
#
#   ## x509 Certificate to use with TLS connection. If it is not provided, an insecure
#   ## channel will be opened with server
#   ssl_cert = "/etc/telegraf/cert.pem"
#
#   ## Delay between retry attempts of failed RPC calls or streams. Defaults to 1000ms.
#   ## Failed streams/calls will not be retried if 0 is provided
#   retry_delay = "1000ms"
#
#   ## To treat all string values as tags, set this to true
#   str_as_tags = false


# # Read metrics from Kafka topic(s)
# [[inputs.kafka_consumer]]
#   ## kafka servers
#   brokers = ["localhost:9092"]
#   ## topic(s) to consume
#   topics = ["telegraf"]
#
#   ## Optional Client id
#   # client_id = "Telegraf"
#
#   ## Set the minimal supported Kafka version.  Setting this enables the use of new
#   ## Kafka features and APIs.  Of particular interest, lz4 compression
#   ## requires at least version 0.10.0.0.
#   ##   ex: version = "1.1.0"
#   # version = ""
#
#   ## Optional TLS Config
#   # 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
#
#   ## Optional SASL Config
#   # sasl_username = "kafka"
#   # sasl_password = "secret"
#
#   ## the name of the consumer group
#   consumer_group = "telegraf_metrics_consumers"
#   ## Offset (must be either "oldest" or "newest")
#   offset = "oldest"
#   ## Maximum length of a message to consume, in bytes (default 0/unlimited);
#   ## larger messages are dropped
#   max_message_len = 1000000
#
#   ## Maximum messages to read from the broker that have not been written by an
#   ## output.  For best throughput set based on the number of metrics within
#   ## each message and the size of the output's metric_batch_size.
#   ##
#   ## For example, if each message from the queue contains 10 metrics and the
#   ## output metric_batch_size is 1000, setting this to 100 will ensure that a
#   ## full batch is collected and the write is triggered immediately without
#   ## waiting until the next flush_interval.
#   # max_undelivered_messages = 1000
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = "influx"


# # Read metrics from Kafka topic(s)
# [[inputs.kafka_consumer_legacy]]
#   ## topic(s) to consume
#   topics = ["telegraf"]
#   ## an array of Zookeeper connection strings
#   zookeeper_peers = ["localhost:2181"]
#   ## Zookeeper Chroot
#   zookeeper_chroot = ""
#   ## the name of the consumer group
#   consumer_group = "telegraf_metrics_consumers"
#   ## Offset (must be either "oldest" or "newest")
#   offset = "oldest"
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = "influx"
#
#   ## Maximum length of a message to consume, in bytes (default 0/unlimited);
#   ## larger messages are dropped
#   max_message_len = 65536


# # Stream and parse log file(s).
# [[inputs.logparser]]
#   ## Log files to parse.
#   ## These accept standard unix glob matching rules, but with the addition of
#   ## ** as a "super asterisk". ie:
#   ##   /var/log/**.log     -> recursively find all .log files in /var/log
#   ##   /var/log/*/*.log    -> find all .log files with a parent dir in /var/log
#   ##   /var/log/apache.log -> only tail the apache log file
#   files = ["/var/log/apache/access.log"]
#
#   ## Read files that currently exist from the beginning. Files that are created
#   ## while telegraf is running (and that match the "files" globs) will always
#   ## be read from the beginning.
#   from_beginning = false
#
#   ## Method used to watch for file updates.  Can be either "inotify" or "poll".
#   # watch_method = "inotify"
#
#   ## Parse logstash-style "grok" patterns:
#   [inputs.logparser.grok]
#     ## This is a list of patterns to check the given log file(s) for.
#     ## Note that adding patterns here increases processing time. The most
#     ## efficient configuration is to have one pattern per logparser.
#     ## Other common built-in patterns are:
#     ##   %{COMMON_LOG_FORMAT}   (plain apache & nginx access logs)
#     ##   %{COMBINED_LOG_FORMAT} (access logs + referrer & agent)
#     patterns = ["%{COMBINED_LOG_FORMAT}"]
#
#     ## Name of the outputted measurement name.
#     measurement = "apache_access_log"
#
#     ## Full path(s) to custom pattern files.
#     custom_pattern_files = []
#
#     ## Custom patterns can also be defined here. Put one pattern per line.
#     custom_patterns = '''
#     '''
#
#     ## Timezone allows you to provide an override for timestamps that
#     ## don't already include an offset
#     ## e.g. 04/06/2016 12:41:45 data one two 5.43µs
#     ##
#     ## Default: "" which renders UTC
#     ## Options are as follows:
#     ##   1. Local             -- interpret based on machine localtime
#     ##   2. "Canada/Eastern"  -- Unix TZ values like those found in https://en.wikipedia.org/wiki/List_of_tz_database_time_zones
#     ##   3. UTC               -- or blank/unspecified, will return timestamp in UTC
#     # timezone = "Canada/Eastern"


# # Read metrics from MQTT topic(s)
# [[inputs.mqtt_consumer]]
#   ## MQTT broker URLs to be used. The format should be scheme://host:port,
#   ## schema can be tcp, ssl, or ws.
#   servers = ["tcp://localhost:1883"]
#
#   ## QoS policy for messages
#   ##   0 = at most once
#   ##   1 = at least once
#   ##   2 = exactly once
#   ##
#   ## When using a QoS of 1 or 2, you should enable persistent_session to allow
#   ## resuming unacknowledged messages.
#   qos = 0
#
#   ## Connection timeout for initial connection in seconds
#   connection_timeout = "30s"
#
#   ## Maximum messages to read from the broker that have not been written by an
#   ## output.  For best throughput set based on the number of metrics within
#   ## each message and the size of the output's metric_batch_size.
#   ##
#   ## For example, if each message from the queue contains 10 metrics and the
#   ## output metric_batch_size is 1000, setting this to 100 will ensure that a
#   ## full batch is collected and the write is triggered immediately without
#   ## waiting until the next flush_interval.
#   # max_undelivered_messages = 1000
#
#   ## Topics to subscribe to
#   topics = [
#     "telegraf/host01/cpu",
#     "telegraf/+/mem",
#     "sensors/#",
#   ]
#
#   # if true, messages that can't be delivered while the subscriber is offline
#   # will be delivered when it comes back (such as on service restart).
#   # NOTE: if true, client_id MUST be set
#   persistent_session = false
#   # If empty, a random client ID will be generated.
#   client_id = ""
#
#   ## username and password to connect MQTT server.
#   # username = "telegraf"
#   # password = "metricsmetricsmetricsmetrics"
#
#   ## Optional TLS Config
#   # 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
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = "influx"


# # Read metrics from NATS subject(s)
# [[inputs.nats_consumer]]
#   ## urls of NATS servers
#   servers = ["nats://localhost:4222"]
#   ## Use Transport Layer Security
#   secure = false
#   ## subject(s) to consume
#   subjects = ["telegraf"]
#   ## name a queue group
#   queue_group = "telegraf_consumers"
#
#   ## Sets the limits for pending msgs and bytes for each subscription
#   ## These shouldn't need to be adjusted except in very high throughput scenarios
#   # pending_message_limit = 65536
#   # pending_bytes_limit = 67108864
#
#   ## Maximum messages to read from the broker that have not been written by an
#   ## output.  For best throughput set based on the number of metrics within
#   ## each message and the size of the output's metric_batch_size.
#   ##
#   ## For example, if each message from the queue contains 10 metrics and the
#   ## output metric_batch_size is 1000, setting this to 100 will ensure that a
#   ## full batch is collected and the write is triggered immediately without
#   ## waiting until the next flush_interval.
#   # max_undelivered_messages = 1000
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = "influx"


# # Read NSQ topic for metrics.
# [[inputs.nsq_consumer]]
#   ## Server option still works but is deprecated, we just prepend it to the nsqd array.
#   # server = "localhost:4150"
#   ## An array representing the NSQD TCP HTTP Endpoints
#   nsqd = ["localhost:4150"]
#   ## An array representing the NSQLookupd HTTP Endpoints
#   nsqlookupd = ["localhost:4161"]
#   topic = "telegraf"
#   channel = "consumer"
#   max_in_flight = 100
#
#   ## Maximum messages to read from the broker that have not been written by an
#   ## output.  For best throughput set based on the number of metrics within
#   ## each message and the size of the output's metric_batch_size.
#   ##
#   ## For example, if each message from the queue contains 10 metrics and the
#   ## output metric_batch_size is 1000, setting this to 100 will ensure that a
#   ## full batch is collected and the write is triggered immediately without
#   ## waiting until the next flush_interval.
#   # max_undelivered_messages = 1000
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = "influx"


# # Read metrics from one or many pgbouncer servers
# [[inputs.pgbouncer]]
#   ## specify address via a url matching:
#   ##   postgres://[pqgotest[:password]]@localhost[/dbname]\
#   ##       ?sslmode=[disable|verify-ca|verify-full]
#   ## or a simple string:
#   ##   host=localhost user=pqotest password=... sslmode=... dbname=app_production
#   ##
#   ## All connection parameters are optional.
#   ##
#   address = "host=localhost user=pgbouncer sslmode=disable"


# # Read metrics from one or many postgresql servers
# [[inputs.postgresql]]
#   ## specify address via a url matching:
#   ##   postgres://[pqgotest[:password]]@localhost[/dbname]\
#   ##       ?sslmode=[disable|verify-ca|verify-full]
#   ## or a simple string:
#   ##   host=localhost user=pqotest password=... sslmode=... dbname=app_production
#   ##
#   ## All connection parameters are optional.
#   ##
#   ## Without the dbname parameter, the driver will default to a database
#   ## with the same name as the user. This dbname is just for instantiating a
#   ## connection with the server and doesn't restrict the databases we are trying
#   ## to grab metrics for.
#   ##
#   address = "host=localhost user=postgres sslmode=disable"
#   ## A custom name for the database that will be used as the "server" tag in the
#   ## measurement output. If not specified, a default one generated from
#   ## the connection address is used.
#   # outputaddress = "db01"
#
#   ## connection configuration.
#   ## maxlifetime - specify the maximum lifetime of a connection.
#   ## default is forever (0s)
#   max_lifetime = "0s"
#
#   ## A  list of databases to explicitly ignore.  If not specified, metrics for all
#   ## databases are gathered.  Do NOT use with the 'databases' option.
#   # ignored_databases = ["postgres", "template0", "template1"]
#
#   ## A list of databases to pull metrics about. If not specified, metrics for all
#   ## databases are gathered.  Do NOT use with the 'ignored_databases' option.
#   # databases = ["app_production", "testing"]


# # Read metrics from one or many postgresql servers
# [[inputs.postgresql_extensible]]
#   ## specify address via a url matching:
#   ##   postgres://[pqgotest[:password]]@localhost[/dbname]\
#   ##       ?sslmode=[disable|verify-ca|verify-full]
#   ## or a simple string:
#   ##   host=localhost user=pqotest password=... sslmode=... dbname=app_production
#   #
#   ## All connection parameters are optional.  #
#   ## Without the dbname parameter, the driver will default to a database
#   ## with the same name as the user. This dbname is just for instantiating a
#   ## connection with the server and doesn't restrict the databases we are trying
#   ## to grab metrics for.
#   #
#   address = "host=localhost user=postgres sslmode=disable"
#
#   ## connection configuration.
#   ## maxlifetime - specify the maximum lifetime of a connection.
#   ## default is forever (0s)
#   max_lifetime = "0s"
#
#   ## A list of databases to pull metrics about. If not specified, metrics for all
#   ## databases are gathered.
#   ## databases = ["app_production", "testing"]
#   #
#   ## A custom name for the database that will be used as the "server" tag in the
#   ## measurement output. If not specified, a default one generated from
#   ## the connection address is used.
#   # outputaddress = "db01"
#   #
#   ## Define the toml config where the sql queries are stored
#   ## New queries can be added, if the withdbname is set to true and there is no
#   ## databases defined in the 'databases field', the sql query is ended by a
#   ## 'is not null' in order to make the query succeed.
#   ## Example :
#   ## The sqlquery : "SELECT * FROM pg_stat_database where datname" become
#   ## "SELECT * FROM pg_stat_database where datname IN ('postgres', 'pgbench')"
#   ## because the databases variable was set to ['postgres', 'pgbench' ] and the
#   ## withdbname was true. Be careful that if the withdbname is set to false you
#   ## don't have to define the where clause (aka with the dbname) the tagvalue
#   ## field is used to define custom tags (separated by commas)
#   ## The optional "measurement" value can be used to override the default
#   ## output measurement name ("postgresql").
#   #
#   ## Structure :
#   ## [[inputs.postgresql_extensible.query]]
#   ##   sqlquery string
#   ##   version string
#   ##   withdbname boolean
#   ##   tagvalue string (comma separated)
#   ##   measurement string
#   [[inputs.postgresql_extensible.query]]
#     sqlquery="SELECT * FROM pg_stat_database"
#     version=901
#     withdbname=false
#     tagvalue=""
#     measurement=""
#   [[inputs.postgresql_extensible.query]]
#     sqlquery="SELECT * FROM pg_stat_bgwriter"
#     version=901
#     withdbname=false
#     tagvalue="postgresql.stats"


# # Read metrics from one or many prometheus clients
# [[inputs.prometheus]]
#   ## An array of urls to scrape metrics from.
#   urls = ["http://localhost:9100/metrics"]
#
#   ## An array of Kubernetes services to scrape metrics from.
#   # kubernetes_services = ["http://my-service-dns.my-namespace:9100/metrics"]
#
#   ## Kubernetes config file to create client from.
#   # kube_config = "/path/to/kubernetes.config"
#
#   ## Scrape Kubernetes pods for the following prometheus annotations:
#   ## - prometheus.io/scrape: Enable scraping for this pod
#   ## - prometheus.io/scheme: If the metrics endpoint is secured then you will need to
#   ##     set this to 'https' & most likely set the tls config.
#   ## - prometheus.io/path: If the metrics path is not /metrics, define it with this annotation.
#   ## - prometheus.io/port: If port is not 9102 use this annotation
#   # monitor_kubernetes_pods = true
#
#   ## Use bearer token for authorization
#   # bearer_token = /path/to/bearer/token
#
#   ## Specify timeout duration for slower prometheus clients (default is 3s)
#   # response_timeout = "3s"
#
#   ## Optional TLS Config
#   # tls_ca = /path/to/cafile
#   # tls_cert = /path/to/certfile
#   # tls_key = /path/to/keyfile
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Generic socket listener capable of handling multiple socket types.
# [[inputs.socket_listener]]
#   ## URL to listen on
#   # service_address = "tcp://:8094"
#   # service_address = "tcp://127.0.0.1:http"
#   # service_address = "tcp4://:8094"
#   # service_address = "tcp6://:8094"
#   # service_address = "tcp6://[2001:db8::1]:8094"
#   # service_address = "udp://:8094"
#   # service_address = "udp4://:8094"
#   # service_address = "udp6://:8094"
#   # service_address = "unix:///tmp/telegraf.sock"
#   # service_address = "unixgram:///tmp/telegraf.sock"
#
#   ## Maximum number of concurrent connections.
#   ## Only applies to stream sockets (e.g. TCP).
#   ## 0 (default) is unlimited.
#   # max_connections = 1024
#
#   ## Read timeout.
#   ## Only applies to stream sockets (e.g. TCP).
#   ## 0 (default) is unlimited.
#   # read_timeout = "30s"
#
#   ## Optional TLS configuration.
#   ## Only applies to stream sockets (e.g. TCP).
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key  = "/etc/telegraf/key.pem"
#   ## Enables client authentication if set.
#   # tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"]
#
#   ## Maximum socket buffer size (in bytes when no unit specified).
#   ## For stream sockets, once the buffer fills up, the sender will start backing up.
#   ## For datagram sockets, once the buffer fills up, metrics will start dropping.
#   ## Defaults to the OS default.
#   # read_buffer_size = "64KiB"
#
#   ## Period between keep alive probes.
#   ## Only applies to TCP sockets.
#   ## 0 disables keep alive probes.
#   ## Defaults to the OS configuration.
#   # keep_alive_period = "5m"
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   # data_format = "influx"


# # Statsd UDP/TCP Server
# [[inputs.statsd]]
#   ## Protocol, must be "tcp", "udp", "udp4" or "udp6" (default=udp)
#   protocol = "udp"
#
#   ## MaxTCPConnection - applicable when protocol is set to tcp (default=250)
#   max_tcp_connections = 250
#
#   ## Enable TCP keep alive probes (default=false)
#   tcp_keep_alive = false
#
#   ## Specifies the keep-alive period for an active network connection.
#   ## Only applies to TCP sockets and will be ignored if tcp_keep_alive is false.
#   ## Defaults to the OS configuration.
#   # tcp_keep_alive_period = "2h"
#
#   ## Address and port to host UDP listener on
#   service_address = ":8125"
#
#   ## The following configuration options control when telegraf clears it's cache
#   ## of previous values. If set to false, then telegraf will only clear it's
#   ## cache when the daemon is restarted.
#   ## Reset gauges every interval (default=true)
#   delete_gauges = true
#   ## Reset counters every interval (default=true)
#   delete_counters = true
#   ## Reset sets every interval (default=true)
#   delete_sets = true
#   ## Reset timings & histograms every interval (default=true)
#   delete_timings = true
#
#   ## Percentiles to calculate for timing & histogram stats
#   percentiles = [90]
#
#   ## separator to use between elements of a statsd metric
#   metric_separator = "_"
#
#   ## Parses tags in the datadog statsd format
#   ## http://docs.datadoghq.com/guides/dogstatsd/
#   parse_data_dog_tags = false
#
#   ## Statsd data translation templates, more info can be read here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/TEMPLATE_PATTERN.md
#   # templates = [
#   #     "cpu.* measurement*"
#   # ]
#
#   ## Number of UDP messages allowed to queue up, once filled,
#   ## the statsd server will start dropping packets
#   allowed_pending_messages = 10000
#
#   ## Number of timing/histogram values to track per-measurement in the
#   ## calculation of percentiles. Raising this limit increases the accuracy
#   ## of percentiles but also increases the memory usage and cpu time.
#   percentile_limit = 1000


# # Accepts syslog messages following RFC5424 format with transports as per RFC5426, RFC5425, or RFC6587
# [[inputs.syslog]]
#   ## Specify an ip or hostname with port - eg., tcp://localhost:6514, tcp://10.0.0.1:6514
#   ## Protocol, address and port to host the syslog receiver.
#   ## If no host is specified, then localhost is used.
#   ## If no port is specified, 6514 is used (RFC5425#section-4.1).
#   server = "tcp://:6514"
#
#   ## TLS Config
#   # tls_allowed_cacerts = ["/etc/telegraf/ca.pem"]
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#
#   ## Period between keep alive probes.
#   ## 0 disables keep alive probes.
#   ## Defaults to the OS configuration.
#   ## Only applies to stream sockets (e.g. TCP).
#   # keep_alive_period = "5m"
#
#   ## Maximum number of concurrent connections (default = 0).
#   ## 0 means unlimited.
#   ## Only applies to stream sockets (e.g. TCP).
#   # max_connections = 1024
#
#   ## Read timeout is the maximum time allowed for reading a single message (default = 5s).
#   ## 0 means unlimited.
#   # read_timeout = "5s"
#
#   ## The framing technique with which it is expected that messages are transported (default = "octet-counting").
#   ## Whether the messages come using the octect-counting (RFC5425#section-4.3.1, RFC6587#section-3.4.1),
#   ## or the non-transparent framing technique (RFC6587#section-3.4.2).
#   ## Must be one of "octect-counting", "non-transparent".
#   # framing = "octet-counting"
#
#   ## The trailer to be expected in case of non-trasparent framing (default = "LF").
#   ## Must be one of "LF", or "NUL".
#   # trailer = "LF"
#
#   ## Whether to parse in best effort mode or not (default = false).
#   ## By default best effort parsing is off.
#   # best_effort = false
#
#   ## Character to prepend to SD-PARAMs (default = "_").
#   ## A syslog message can contain multiple parameters and multiple identifiers within structured data section.
#   ## Eg., [id1 name1="val1" name2="val2"][id2 name1="val1" nameA="valA"]
#   ## For each combination a field is created.
#   ## Its name is created concatenating identifier, sdparam_separator, and parameter name.
#   # sdparam_separator = "_"


# # Stream a log file, like the tail -f command
# [[inputs.tail]]
#   ## files to tail.
#   ## These accept standard unix glob matching rules, but with the addition of
#   ## ** as a "super asterisk". ie:
#   ##   "/var/log/**.log"  -> recursively find all .log files in /var/log
#   ##   "/var/log/*/*.log" -> find all .log files with a parent dir in /var/log
#   ##   "/var/log/apache.log" -> just tail the apache log file
#   ##
#   ## See https://github.com/gobwas/glob for more examples
#   ##
#   files = ["/var/mymetrics.out"]
#   ## Read file from beginning.
#   from_beginning = false
#   ## Whether file is a named pipe
#   pipe = false
#
#   ## Method used to watch for file updates.  Can be either "inotify" or "poll".
#   # watch_method = "inotify"
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = "influx"


# # Generic TCP listener
# [[inputs.tcp_listener]]
#   # DEPRECATED: the TCP listener plugin has been deprecated in favor of the
#   # socket_listener plugin
#   # see https://github.com/influxdata/telegraf/tree/master/plugins/inputs/socket_listener


# # Generic UDP listener
# [[inputs.udp_listener]]
#   # DEPRECATED: the TCP listener plugin has been deprecated in favor of the
#   # socket_listener plugin
#   # see https://github.com/influxdata/telegraf/tree/master/plugins/inputs/socket_listener


# # Read metrics from VMware vCenter
# [[inputs.vsphere]]
#   ## List of vCenter URLs to be monitored. These three lines must be uncommented
#   ## and edited for the plugin to work.
#   vcenters = [ "https://vcenter.local/sdk" ]
#   username = "user@corp.local"
#   password = "secret"
#
#   ## VMs
#   ## Typical VM metrics (if omitted or empty, all metrics are collected)
#   vm_metric_include = [
#     "cpu.demand.average",
#     "cpu.idle.summation",
#     "cpu.latency.average",
#     "cpu.readiness.average",
#     "cpu.ready.summation",
#     "cpu.run.summation",
#     "cpu.usagemhz.average",
#     "cpu.used.summation",
#     "cpu.wait.summation",
#     "mem.active.average",
#     "mem.granted.average",
#     "mem.latency.average",
#     "mem.swapin.average",
#     "mem.swapinRate.average",
#     "mem.swapout.average",
#     "mem.swapoutRate.average",
#     "mem.usage.average",
#     "mem.vmmemctl.average",
#     "net.bytesRx.average",
#     "net.bytesTx.average",
#     "net.droppedRx.summation",
#     "net.droppedTx.summation",
#     "net.usage.average",
#     "power.power.average",
#     "virtualDisk.numberReadAveraged.average",
#     "virtualDisk.numberWriteAveraged.average",
#     "virtualDisk.read.average",
#     "virtualDisk.readOIO.latest",
#     "virtualDisk.throughput.usage.average",
#     "virtualDisk.totalReadLatency.average",
#     "virtualDisk.totalWriteLatency.average",
#     "virtualDisk.write.average",
#     "virtualDisk.writeOIO.latest",
#     "sys.uptime.latest",
#   ]
#   # vm_metric_exclude = [] ## Nothing is excluded by default
#   # vm_instances = true ## true by default
#
#   ## Hosts
#   ## Typical host metrics (if omitted or empty, all metrics are collected)
#   host_metric_include = [
#     "cpu.coreUtilization.average",
#     "cpu.costop.summation",
#     "cpu.demand.average",
#     "cpu.idle.summation",
#     "cpu.latency.average",
#     "cpu.readiness.average",
#     "cpu.ready.summation",
#     "cpu.swapwait.summation",
#     "cpu.usage.average",
#     "cpu.usagemhz.average",
#     "cpu.used.summation",
#     "cpu.utilization.average",
#     "cpu.wait.summation",
#     "disk.deviceReadLatency.average",
#     "disk.deviceWriteLatency.average",
#     "disk.kernelReadLatency.average",
#     "disk.kernelWriteLatency.average",
#     "disk.numberReadAveraged.average",
#     "disk.numberWriteAveraged.average",
#     "disk.read.average",
#     "disk.totalReadLatency.average",
#     "disk.totalWriteLatency.average",
#     "disk.write.average",
#     "mem.active.average",
#     "mem.latency.average",
#     "mem.state.latest",
#     "mem.swapin.average",
#     "mem.swapinRate.average",
#     "mem.swapout.average",
#     "mem.swapoutRate.average",
#     "mem.totalCapacity.average",
#     "mem.usage.average",
#     "mem.vmmemctl.average",
#     "net.bytesRx.average",
#     "net.bytesTx.average",
#     "net.droppedRx.summation",
#     "net.droppedTx.summation",
#     "net.errorsRx.summation",
#     "net.errorsTx.summation",
#     "net.usage.average",
#     "power.power.average",
#     "storageAdapter.numberReadAveraged.average",
#     "storageAdapter.numberWriteAveraged.average",
#     "storageAdapter.read.average",
#     "storageAdapter.write.average",
#     "sys.uptime.latest",
#   ]
#   # host_metric_exclude = [] ## Nothing excluded by default
#   # host_instances = true ## true by default
#
#   ## Clusters
#   # cluster_metric_include = [] ## if omitted or empty, all metrics are collected
#   # cluster_metric_exclude = [] ## Nothing excluded by default
#   # cluster_instances = true ## true by default
#
#   ## Datastores
#   # datastore_metric_include = [] ## if omitted or empty, all metrics are collected
#   # datastore_metric_exclude = [] ## Nothing excluded by default
#   # datastore_instances = false ## false by default for Datastores only
#
#   ## Datacenters
#   datacenter_metric_include = [] ## if omitted or empty, all metrics are collected
#   datacenter_metric_exclude = [ "*" ] ## Datacenters are not collected by default.
#   # datacenter_instances = false ## false by default for Datastores only
#
#   ## Plugin Settings
#   ## separator character to use for measurement and field names (default: "_")
#   # separator = "_"
#
#   ## number of objects to retreive per query for realtime resources (vms and hosts)
#   ## set to 64 for vCenter 5.5 and 6.0 (default: 256)
#   # max_query_objects = 256
#
#   ## number of metrics to retreive per query for non-realtime resources (clusters and datastores)
#   ## set to 64 for vCenter 5.5 and 6.0 (default: 256)
#   # max_query_metrics = 256
#
#   ## number of go routines to use for collection and discovery of objects and metrics
#   # collect_concurrency = 1
#   # discover_concurrency = 1
#
#   ## whether or not to force discovery of new objects on initial gather call before collecting metrics
#   ## when true for large environments this may cause errors for time elapsed while collecting metrics
#   ## when false (default) the first collection cycle may result in no or limited metrics while objects are discovered
#   # force_discover_on_init = false
#
#   ## the interval before (re)discovering objects subject to metrics collection (default: 300s)
#   # object_discovery_interval = "300s"
#
#   ## timeout applies to any of the api request made to vcenter
#   # timeout = "60s"
#
#   ## Optional SSL Config
#   # ssl_ca = "/path/to/cafile"
#   # ssl_cert = "/path/to/certfile"
#   # ssl_key = "/path/to/keyfile"
#   ## Use SSL but skip chain & host verification
#   # insecure_skip_verify = false


# # A Webhooks Event collector
# [[inputs.webhooks]]
#   ## Address and port to host Webhook listener on
#   service_address = ":1619"
#
#   [inputs.webhooks.filestack]
#     path = "/filestack"
#
#   [inputs.webhooks.github]
#     path = "/github"
#     # secret = ""
#
#   [inputs.webhooks.mandrill]
#     path = "/mandrill"
#
#   [inputs.webhooks.rollbar]
#     path = "/rollbar"
#
#   [inputs.webhooks.papertrail]
#     path = "/papertrail"
#
#   [inputs.webhooks.particle]
#     path = "/particle"


# # This plugin implements the Zipkin http server to gather trace and timing data needed to troubleshoot latency problems in microservice architectures.
# [[inputs.zipkin]]
#   # path = "/api/v1/spans" # URL path for span data
#   # port = 9411            # Port on which Telegraf listens