Telegraf long config file (limit) (32768 chars)

working.conf

# 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.

# 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"

# 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 cache metric_buffer_limit metrics for each output, and will
  ## flush this buffer on a successful write.
  metric_buffer_limit = 10000
  ## Flush the buffer whenever full, regardless of flush_interval.
  flush_buffer_when_full = true

  ## 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. You shouldn't set this below
  ## interval. 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"

  ## Run telegraf in debug mode
  debug = false
  ## Run telegraf in quiet mode
  quiet = false
  ## Override default hostname, if empty use os.Hostname()
  hostname = ""


#
# OUTPUTS:
#


# Configuration for Amon Server to send metrics to.
[[outputs.amon]]
  ## Amon Server Key
  server_key = "my-server-key" # required.

  ## Amon Instance URL
  amon_instance = "https://youramoninstance" # required

  ## Connection timeout.
  # timeout = "5s"

# Configuration for the AMQP server to send metrics to
[[outputs.amqp]]
  ## AMQP url
  url = "amqp://localhost:5672/influxdb"
  ## AMQP exchange
  exchange = "telegraf"
  ## Telegraf tag to use as a routing key
  ##  ie, if this tag exists, it's value will be used as the routing key
  routing_tag = "host"

  ## InfluxDB retention policy
  # retention_policy = "default"
  ## InfluxDB database
  # database = "telegraf"
  ## InfluxDB precision
  # precision = "s"

  ## Optional SSL Config
  # ssl_ca = "/etc/telegraf/ca.pem"
  # ssl_cert = "/etc/telegraf/cert.pem"
  # ssl_key = "/etc/telegraf/key.pem"
  ## Use SSL but skip chain & host verification
  # insecure_skip_verify = false

  ## Data format to output. This can be "influx" or "graphite"
  ## Each data format has it's own unique set of configuration options, read
  ## more about them here:
  ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
  data_format = "influx"

# Configuration for AWS CloudWatch output.
[[outputs.cloudwatch]]
  ## Amazon REGION
  region = 'us-east-1'

  ## Namespace for the CloudWatch MetricDatums
  namespace = 'InfluxData/Telegraf'

# Configuration for DataDog API to send metrics to.
[[outputs.datadog]]
  ## Datadog API key
  apikey = "my-secret-key" # required.

  ## Connection timeout.
  # timeout = "5s"

# Send telegraf metrics to file(s)
[[outputs.file]]
  ## Files to write to, "stdout" is a specially handled file.
  files = ["stdout", "/tmp/metrics.out"]

  ## Data format to output. This can be "influx" or "graphite"
  ## Each data format has it's own unique set of configuration options, read
  ## more about them here:
  ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
  data_format = "influx"

# Configuration for Graphite server to send metrics to
[[outputs.graphite]]
  ## TCP endpoint for your graphite instance.
  servers = ["localhost:2003"]
  ## Prefix metrics name
  prefix = ""
  ## timeout in seconds for the write connection to graphite
  timeout = 2

# Configuration for influxdb server to send metrics to
[[outputs.influxdb]]
  ## The full HTTP or UDP endpoint URL for your InfluxDB instance.
  ## Multiple urls can be specified as part of the same cluster,
  ## this means that only ONE of the urls will be written to each interval.
  # urls = ["udp://localhost:8089"] # UDP endpoint example
  urls = ["http://localhost:8086"] # required
  ## The target database for metrics (telegraf will create it if not exists)
  database = "telegraf" # required
  ## Precision of writes, valid values are "ns", "us" (or "µs"), "ms", "s", "m", "h".
  ## note: using "s" precision greatly improves InfluxDB compression
  precision = "s"

  ## Write timeout (for the InfluxDB client), formatted as a string.
  ## If not provided, will default to 5s. 0s means no timeout (not recommended).
  timeout = "5s"
  # username = "telegraf"
  # password = "metricsmetricsmetricsmetrics"
  ## Set the user agent for HTTP POSTs (can be useful for log differentiation)
  # user_agent = "telegraf"
  ## Set UDP payload size, defaults to InfluxDB UDP Client default (512 bytes)
  # udp_payload = 512

  ## Optional SSL Config
  # ssl_ca = "/etc/telegraf/ca.pem"
  # ssl_cert = "/etc/telegraf/cert.pem"
  # ssl_key = "/etc/telegraf/key.pem"
  ## Use SSL but skip chain & host verification
  # insecure_skip_verify = false

# Configuration for the Kafka server to send metrics to
[[outputs.kafka]]
  ## URLs of kafka brokers
  brokers = ["localhost:9092"]
  ## Kafka topic for producer messages
  topic = "telegraf"
  ## Telegraf tag to use as a routing key
  ##  ie, if this tag exists, it's value will be used as the routing key
  routing_tag = "host"

  ## Optional SSL Config
  # ssl_ca = "/etc/telegraf/ca.pem"
  # ssl_cert = "/etc/telegraf/cert.pem"
  # ssl_key = "/etc/telegraf/key.pem"
  ## Use SSL but skip chain & host verification
  # insecure_skip_verify = false

  ## Data format to output. This can be "influx" or "graphite"
  ## Each data format has it's own unique set of configuration options, read
  ## more about them here:
  ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
  data_format = "influx"

# Configuration for the AWS Kinesis output.
[[outputs.kinesis]]
  ## Amazon REGION of kinesis endpoint.
  region = "ap-southeast-2"
  ## Kinesis StreamName must exist prior to starting telegraf.
  streamname = "StreamName"
  ## PartitionKey as used for sharding data.
  partitionkey = "PartitionKey"
  ## format of the Data payload in the kinesis PutRecord, supported
  ## String and Custom.
  format = "string"
  ## debug will show upstream aws messages.
  debug = false

# Configuration for Librato API to send metrics to.
[[outputs.librato]]
  ## Librator API Docs
  ## http://dev.librato.com/v1/metrics-authentication

  ## Librato API user
  api_user = "telegraf@influxdb.com" # required.

  ## Librato API token
  api_token = "my-secret-token" # required.

  ## Tag Field to populate source attribute (optional)
  ## This is typically the _hostname_ from which the metric was obtained.
  source_tag = "hostname"

  ## Connection timeout.
  # timeout = "5s"

# Configuration for MQTT server to send metrics to
[[outputs.mqtt]]
  servers = ["localhost:1883"] # required.

  ## MQTT outputs send metrics to this topic format
  ##    "<topic_prefix>/<hostname>/<pluginname>/"
  ##   ex: prefix/web01.example.com/mem
  topic_prefix = "telegraf"

  ## username and password to connect MQTT server.
  # username = "telegraf"
  # password = "metricsmetricsmetricsmetrics"

  ## Optional SSL Config
  # ssl_ca = "/etc/telegraf/ca.pem"
  # ssl_cert = "/etc/telegraf/cert.pem"
  # ssl_key = "/etc/telegraf/key.pem"
  ## Use SSL but skip chain & host verification
  # insecure_skip_verify = false

  ## Data format to output. This can be "influx" or "graphite"
  ## Each data format has it's own unique set of configuration options, read
  ## more about them here:
  ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
  data_format = "influx"

# Send telegraf measurements to NSQD
[[outputs.nsq]]
  ## Location of nsqd instance listening on TCP
  server = "localhost:4150"
  ## NSQ topic for producer messages
  topic = "telegraf"

  ## Data format to output. This can be "influx" or "graphite"
  ## Each data format has it's own unique set of configuration options, read
  ## more about them here:
  ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
  data_format = "influx"

# Configuration for OpenTSDB server to send metrics to
[[outputs.opentsdb]]
  ## prefix for metrics keys
  prefix = "my.specific.prefix."

  ## Telnet Mode ##
  ## DNS name of the OpenTSDB server in telnet mode
  host = "opentsdb.example.com"

  ## Port of the OpenTSDB server in telnet mode
  port = 4242

  ## Debug true - Prints OpenTSDB communication
  debug = false

# Configuration for the Prometheus client to spawn
[[outputs.prometheus_client]]
  ## Address to listen on
  # listen = ":9126"

# Configuration for the Riemann server to send metrics to
[[outputs.riemann]]
  ## URL of server
  url = "localhost:5555"
  ## transport protocol to use either tcp or udp
  transport = "tcp"
  ## separator to use between input name and field name in Riemann service name
  separator = " "

#
# INPUTS:
#

# Read stats from an aerospike server
[[inputs.aerospike]]
  ## Aerospike servers to connect to (with port)
  ## This plugin will query all namespaces the aerospike
  ## server has configured and get stats for them.
  servers = ["localhost:3000"]
 
# Read Apache status information (mod_status)
[[inputs.apache]]
  ## An array of Apache status URI to gather stats.
  urls = ["http://localhost/server-status?auto"]

# Read metrics of bcache from stats_total and dirty_data
[[inputs.bcache]]
  ## Bcache sets path
  ## If not specified, then default is:
  bcachePath = "/sys/fs/bcache"

  ## By default, telegraf gather stats for all bcache devices
  ## Setting devices will restrict the stats to the specified
  ## bcache devices.
  bcacheDevs = ["bcache0"]

# Read CouchDB Stats from one or more servers
[[inputs.couchdb]]
  ## Works with CouchDB stats endpoints out of the box
  ## Multiple HOSTs from which to read CouchDB stats:
  hosts = ["http://localhost:8086/_stats"]

# 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
  ## Comment this line if you want the raw CPU time metrics
  fielddrop = ["time_*"]

# Read metrics about disk usage by mount point
[[inputs.disk]]
  ## By default, telegraf gather stats for all mountpoints.
  ## Setting mountpoints will restrict the stats to the specified mountpoints.
  # mount_points = ["/"]

  ## Ignore some mountpoints by filesystem type. For example (dev)tmpfs (usually
  ## present on /run, /var/run, /dev/shm or /dev).
  ignore_fs = ["tmpfs", "devtmpfs"]

# 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"]
  ## Uncomment the following line if you do not need disk serial numbers.
  # skip_serial_number = true

# Read metrics from one or many disque servers
[[inputs.disque]]
  ## An array of URI to gather stats about. Specify an ip or hostname
  ## with optional port and password. ie disque://localhost, disque://10.10.3.33:18832,
  ## 10.0.0.1:10000, etc.

  ## If no servers are specified, then localhost is used as the host.
  servers = ["localhost"]

# Query given DNS server and gives statistics
[[inputs.dns_query]]
  ## servers to query
  servers = ["8.8.8.8"] # required

  ## Domains or subdomains to query. "."(root) is default
  domains = ["."] # optional

  ## Query record type. Posible values: A, AAAA, CNAME, MX,  NS, PTR, TXT, SOA, SPF, SRV. Default is "NS"
  record_type = "A" # optional

  ## Dns server port. 53 is default
  port = 53 # optional

  ## Query timeout in seconds. Default is 2 seconds
  timeout = 2 # optional

# Read metrics about docker containers
[[inputs.docker]]
  ## Docker Endpoint
  ##   To use TCP, set endpoint = "tcp://[ip]:[port]"
  ##   To use environment variables (ie, docker-machine), set endpoint = "ENV"
  endpoint = "unix:///var/run/docker.sock"
  ## Only collect metrics for these containers, collect all if empty
  container_names = []

# Read statistics from one or many dovecot servers
[[inputs.dovecot]]
  ## specify dovecot servers via an address:port list
  ##  e.g.
  ##    localhost:24242
  ##
  ## If no servers are specified, then localhost is used as the host.
  servers = ["localhost:24242"]
  ## Only collect metrics for these domains, collect all if empty
  domains = []

# Read stats from one or more Elasticsearch servers or clusters
[[inputs.elasticsearch]]
  ## specify a list of one or more Elasticsearch servers
  servers = ["http://localhost:9200"]

  ## set local to false when you want to read the indices stats from all nodes
  ## within the cluster
  local = true

  ## set cluster_health to true when you want to also obtain cluster level stats
  cluster_health = false

# Read metrics from one or more commands that can output to stdout
[[inputs.exec]]
  ## Commands array
  commands = ["/tmp/test.sh", "/usr/bin/mycollector --foo=bar"]

  ## measurement name suffix (for separating different commands)
  name_suffix = "_mycollector"

  ## Data format to consume. This can be "json", "influx" or "graphite"
  ## Each data format has it's 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 of haproxy, via socket or csv stats page
[[inputs.haproxy]]
  ## An array of address to gather stats about. Specify an ip on hostname
  ## with optional port. ie localhost, 10.10.3.33:1936, etc.

  ## If no servers are specified, then default to 127.0.0.1:1936
  servers = ["http://myhaproxy.com:1936", "http://anotherhaproxy.com:1936"]
  ## Or you can also use local socket(not work yet)
  ## servers = ["socket://run/haproxy/admin.sock"]

# Read flattened metrics from one or more JSON HTTP endpoints
[[inputs.httpjson]]
  ## NOTE This plugin only reads numerical measurements, strings and booleans
  ## will be ignored.

  ## a name for the service being polled
  name = "webserver_stats"

  ## URL of each server in the service's cluster
  servers = [
    "http://localhost:9999/stats/",
    "http://localhost:9998/stats/",
  ]

  ## HTTP method to use: GET or POST (case-sensitive)
  method = "GET"

  ## List of tag names to extract from top-level of JSON server response
  # tag_keys = [
  #   "my_tag_1",
  #   "my_tag_2"
  # ]

  ## HTTP parameters (all values must be strings)
  [inputs.httpjson.parameters]
    event_type = "cpu_spike"
    threshold = "0.75"

  ## HTTP Header parameters (all values must be strings)
  # [inputs.httpjson.headers]
  #   X-Auth-Token = "my-xauth-token"
  #   apiVersion = "v1"

# Read InfluxDB-formatted JSON metrics from one or more HTTP endpoints
[[inputs.influxdb]]
  ## Works with InfluxDB debug endpoints out of the box,
  ## but other services can use this format too.
  ## See the influxdb plugin's README for more details.

  ## Multiple URLs from which to read InfluxDB-formatted JSON
  urls = [
    "http://localhost:8086/debug/vars"
  ]

# Read JMX metrics through Jolokia
[[inputs.jolokia]]
  ## This is the context root used to compose the jolokia url
  context = "/jolokia/read"

  ## List of servers exposing jolokia read service
  [[inputs.jolokia.servers]]
    name = "stable"
    host = "192.168.103.2"
    port = "8180"
    # username = "myuser"
    # password = "mypassword"

  ## List of metrics collected on above servers
  ## Each metric consists in a name, a jmx path and either
  ## a pass or drop slice attribute.
  ## This collect all heap memory usage metrics.
  [[inputs.jolokia.metrics]]
    name = "heap_memory_usage"
    jmx  = "/java.lang:type=Memory/HeapMemoryUsage"

# Read metrics from a LeoFS Server via SNMP
[[inputs.leofs]]
  ## An array of URI to gather stats about LeoFS.
  ## Specify an ip or hostname with port. ie 127.0.0.1:4020
  servers = ["127.0.0.1:4021"]

# Read metrics from local Lustre service on OST, MDS
[[inputs.lustre2]]
  ## An array of /proc globs to search for Lustre stats
  ## If not specified, the default will work on Lustre 2.5.x
  ##
  # ost_procfiles = [
  #   "/proc/fs/lustre/obdfilter/*/stats",
  #   "/proc/fs/lustre/osd-ldiskfs/*/stats"
  # ]
  # mds_procfiles = ["/proc/fs/lustre/mdt/*/md_stats"]

# Gathers metrics from the /3.0/reports MailChimp API
[[inputs.mailchimp]]
  ## MailChimp API key
  ## get from https://admin.mailchimp.com/account/api/
  api_key = "" # required
  ## Reports for campaigns sent more than days_old ago will not be collected.
  ## 0 means collect all.
  days_old = 0
  ## Campaign ID to get, if empty gets all campaigns, this option overrides days_old
  # campaign_id = ""

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

# Read metrics from one or many memcached servers
[[inputs.memcached]]
  ## An array of address to gather stats about. Specify an ip on hostname
  ## with optional port. ie localhost, 10.0.0.1:11211, etc.
  servers = ["localhost:11211"]
  # unix_sockets = ["/var/run/memcached.sock"]

# Telegraf plugin for gathering metrics from N Mesos masters
[[inputs.mesos]]
  # Timeout, in ms.
  timeout = 100
  # A list of Mesos masters, default value is localhost:5050.
  masters = ["localhost:5050"]
  # Metrics groups to be collected, by default, all enabled.
  master_collections = ["resources","master","system","slaves","frameworks","messages","evqueue","registrar"]

# Read metrics from one or many MongoDB servers
[[inputs.mongodb]]
  ## An array of URI to gather stats about. Specify an ip or hostname
  ## with optional port add password. ie,
  ##   mongodb://user:auth_key@10.10.3.30:27017,
  ##   mongodb://10.10.3.33:18832,
  ##   10.0.0.1:10000, etc.
  servers = ["127.0.0.1:27017"]

# Read metrics from one or many mysql servers
[[inputs.mysql]]
  ## specify servers via a url matching:
  ##  [username[:password]@][protocol[(address)]]/[?tls=[true|false|skip-verify]]
  ##  see https://github.com/go-sql-driver/mysql#dsn-data-source-name
  ##  e.g.
  ##    root:passwd@tcp(127.0.0.1:3306)/?tls=false
  ##    root@tcp(127.0.0.1:3306)/?tls=false
  ##
  ## If no servers are specified, then localhost is used as the host.
  servers = ["tcp(127.0.0.1:3306)/"]

# Read metrics about network interface usage
[[inputs.net]]
  ## By default, telegraf gathers stats from any up interface (excluding loopback)
  ## Setting interfaces will tell it to gather these explicit interfaces,
  ## regardless of status.
  ##
  # interfaces = ["eth0"]

# TCP or UDP 'ping' given url and collect response time in seconds
[[inputs.net_response]]
  ## Protocol, must be "tcp" or "udp"
  protocol = "tcp"
  ## Server address (default localhost)
  address = "github.com:80"
  ## Set timeout (default 1.0 seconds)
  timeout = 1.0
  ## Set read timeout (default 1.0 seconds)
  read_timeout = 1.0
  ## Optional string sent to the server
  # send = "ssh"
  ## Optional expected string in answer
  # expect = "ssh"

# Read TCP metrics such as established, time wait and sockets counts.
[[inputs.netstat]]
  # no configuration

# Read Nginx's basic status information (ngx_http_stub_status_module)
[[inputs.nginx]]
  ## An array of Nginx stub_status URI to gather stats.
  urls = ["http://localhost/status"]

# Read NSQ topic and channel statistics.
[[inputs.nsq]]
  ## An array of NSQD HTTP API endpoints
  endpoints = ["http://localhost:4151"]

# Read metrics of passenger using passenger-status
[[inputs.passenger]]
  ## Path of passenger-status.
  ##
  ## Plugin gather metric via parsing XML output of passenger-status
  ## More information about the tool:
  ##   https://www.phusionpassenger.com/library/admin/apache/overall_status_report.html
  ##
  ## If no path is specified, then the plugin simply execute passenger-status
  ## hopefully it can be found in your PATH
  command = "passenger-status -v --show=xml"

# Read metrics of phpfpm, via HTTP status page or socket
[[inputs.phpfpm]]
  ## An array of addresses to gather stats about. Specify an ip or hostname
  ## with optional port and path
  ##
  ## Plugin can be configured in three modes (either can be used):
  ##   - http: the URL must start with http:// or https://, ie:
  ##       "http://localhost/status"
  ##       "http://192.168.130.1/status?full"
  ##
  ##   - unixsocket: path to fpm socket, ie:
  ##       "/var/run/php5-fpm.sock"
  ##      or using a custom fpm status path:
  ##       "/var/run/php5-fpm.sock:fpm-custom-status-path"
  ##
  ##   - fcgi: the URL must start with fcgi:// or cgi://, and port must be present, ie:
  ##       "fcgi://10.0.0.12:9000/status"
  ##       "cgi://10.0.10.12:9001/status"
  ##
  ## Example of multiple gathering from local socket and remove host
  ## urls = ["http://192.168.1.20/status", "/tmp/fpm.sock"]
  urls = ["http://localhost/status"]

# Ping given url(s) and return statistics
[[inputs.ping]]
  ## NOTE: this plugin forks the ping command. You may need to set capabilities
  ## via setcap cap_net_raw+p /bin/ping

  ## urls to ping
  urls = ["www.google.com"] # required
  ## number of pings to send (ping -c <COUNT>)
  count = 1 # required
  ## interval, in s, at which to ping. 0 == default (ping -i <PING_INTERVAL>)
  ping_interval = 0.0
  ## ping timeout, in s. 0 == no timeout (ping -t <TIMEOUT>)
  timeout = 0.0
  ## interface to send ping from (ping -I <INTERFACE>)
  interface = ""

# 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 list of databases to pull metrics about. If not specified, metrics for all
  ## databases are gathered.
  # databases = ["app_production", "testing"]

# Read metrics from one or many PowerDNS servers
[[inputs.powerdns]]
  ## An array of sockets to gather stats about.
  ## Specify a path to unix socket.
  unix_sockets = ["/var/run/pdns.controlsocket"]

# Monitor process cpu and memory usage
[[inputs.procstat]]
  ## Must specify one of: pid_file, exe, or pattern
  ## PID file to monitor process
  pid_file = "/var/run/nginx.pid"
  ## executable name (ie, pgrep <exe>)
  # exe = "nginx"
  ## pattern as argument for pgrep (ie, pgrep -f <pattern>)
  # pattern = "nginx"
  ## user as argument for pgrep (ie, pgrep -u <user>)
  # user = "nginx"

  ## Field name prefix
  prefix = ""

# Read metrics from one or many prometheus clients
[[inputs.prometheus]]
  ## An array of urls to scrape metrics from.
  urls = ["http://localhost:9100/metrics"]

# Reads last_run_summary.yaml file and converts to measurments
[[inputs.puppetagent]]
  ## Location of puppet last run summary file
  location = "/var/lib/puppet/state/last_run_summary.yaml"

# Read metrics from one or many RabbitMQ servers via the management API
[[inputs.rabbitmq]]
  url = "http://localhost:15672" # required
  # name = "rmq-server-1" # optional tag
  # username = "guest"
  # password = "guest"

  ## A list of nodes to pull metrics about. If not specified, metrics for
  ## all nodes are gathered.
  # nodes = ["rabbit@node1", "rabbit@node2"]

# Read raindrops stats (raindrops - real-time stats for preforking Rack servers)
[[inputs.raindrops]]
  ## An array of raindrops middleware URI to gather stats.
  urls = ["http://localhost:8080/_raindrops"]

# Read metrics from one or many redis servers
[[inputs.redis]]
  ## specify servers via a url matching:
  ##  [protocol://][:password]@address[:port]
  ##  e.g.
  ##    tcp://localhost:6379
  ##    tcp://:password@192.168.99.100
  ##
  ## If no servers are specified, then localhost is used as the host.
  ## If no port is specified, 6379 is used
  servers = ["tcp://localhost:6379"]

# Read metrics from one or many RethinkDB servers
[[inputs.rethinkdb]]
  ## An array of URI to gather stats about. Specify an ip or hostname
  ## with optional port add password. ie,
  ##   rethinkdb://user:auth_key@10.10.3.30:28105,
  ##   rethinkdb://10.10.3.33:18832,
  ##   10.0.0.1:10000, etc.
  servers = ["127.0.0.1:28015"]

# Read metrics one or many Riak servers
[[inputs.riak]]
  # Specify a list of one or more riak http servers
  servers = ["http://localhost:8098"]

# Reads oids value from one or many snmp agents
[[inputs.snmp]]
  ## 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 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;",
  # ]

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

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

# 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"]

# Read metrics of ZFS from arcstats, zfetchstats and vdev_cache_stats
[[inputs.zfs]]
  ## ZFS kstat path
  ## 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"]

  ## 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"]

#
# SERVICE INPUTS:
#

# A Github Webhook Event collector
[[inputs.github_webhooks]]
  ## Address and port to host Webhook listener on
  service_address = ":1618"

# Read metrics from Kafka topic(s)
[[inputs.kafka_consumer]]
  ## topic(s) to consume
  topics = ["telegraf"]
  ## an array of Zookeeper connection strings
  zookeeper_peers = ["localhost:2181"]
  ## the name of the consumer group
  consumer_group = "telegraf_metrics"
  ## Offset (must be either "oldest" or "newest")
  offset = "oldest"

  ## Data format to consume. This can be "json", "influx" or "graphite"
  ## Each data format has it's 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 MQTT topic(s)
[[inputs.mqtt_consumer]]
  servers = ["localhost:1883"]
  ## MQTT QoS, must be 0, 1, or 2
  qos = 0

  ## Topics to subscribe to
  topics = [
    "telegraf/host01/cpu",
    "telegraf/+/mem",
    "sensors/#",
  ]

  ## username and password to connect MQTT server.
  # username = "telegraf"
  # password = "metricsmetricsmetricsmetrics"

  ## Optional SSL Config
  # ssl_ca = "/etc/telegraf/ca.pem"
  # ssl_cert = "/etc/telegraf/cert.pem"
  # ssl_key = "/etc/telegraf/key.pem"
  ## Use SSL but skip chain & host verification
  # insecure_skip_verify = false

  ## Data format to consume. This can be "json", "influx" or "graphite"
  ## Each data format has it's 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 = ["te"]
  ## name a queue group
  queue_group = "tel"

  ## Data format to consume. This can be "json", "influx" or "graphite"
  ## Each data format has it's 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 Server
[[inputs.statsd]]
  ## Address and port to host UDP listener on
  service_address = ":8125"
  ## Delete gauges every interval (default=false)
  delete_gauges = false
  ## Delete counters every interval (default=false)
  delete_counters = false
  ## Delete sets every interval (default=false)
  delete_sets = false
  ## Delete timings & histograms every interval (default=true)
  delete_timings = true
  ## Percentiles to calculate for timing & histogram stats
  percentiles = [90]

  ## convert measurement names "." to "_" and "-" to "__"
  convert_names = true