telegraf.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.
#
# 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.
  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.
  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. 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 = "mlf4aiur"
  ## If set to true, do no set the "host" tag in the telegraf agent.
  omit_hostname = false


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

# 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://influxdb: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"

  ## Retention policy to write to.
  retention_policy = "default"
  ## Write consistency (clusters only), can be: "any", "one", "quorom", "all"
  write_consistency = "any"

  ## 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 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"
#   ## Auth method. PLAIN and EXTERNAL are supported
#   # auth_method = "PLAIN"
#   ## 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.
#   ## 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'
#
#   ## Amazon Credentials
#   ## Credentials are loaded in the following order
#   ## 1) explicit credentials from 'access_key' and 'secret_key'
#   ## 2) environment variables
#   ## 3) shared credentials file
#   ## 4) EC2 Instance Profile
#   #access_key = ""
#   #secret_key = ""
#
#   ## 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.
#   ## 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 = ""
#   ## Graphite output template
#   ## see https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
#   template = "host.tags.measurement.field"
#   ## timeout in seconds for the write connection to graphite
#   timeout = 2


# # Configuration for sending metrics to an Instrumental project
# [[outputs.instrumental]]
#   ## Project API Token (required)
#   api_token = "API Token" # required
#   ## Prefix the metrics with a given name
#   prefix = ""
#   ## Stats output template (Graphite formatting)
#   ## see https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md#graphite
#   template = "host.tags.measurement.field"
#   ## Timeout in seconds to connect
#   timeout = "2s"
#   ## Display Communcation to Instrumental
#   debug = 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"
#
#   ## CompressionCodec represents the various compression codecs recognized by
#   ## Kafka in messages.
#   ##  0 : No compression
#   ##  1 : Gzip compression
#   ##  2 : Snappy compression
#   compression_codec = 0
#
#   ##  RequiredAcks is used in Produce Requests to tell the broker how many
#   ##  replica acknowledgements it must see before responding
#   ##   0 : the producer never waits for an acknowledgement from the broker.
#   ##       This option provides the lowest latency but the weakest durability
#   ##       guarantees (some data will be lost when a server fails).
#   ##   1 : the producer gets an acknowledgement after the leader replica has
#   ##       received the data. This option provides better durability as the
#   ##       client waits until the server acknowledges the request as successful
#   ##       (only messages that were written to the now-dead leader but not yet
#   ##       replicated will be lost).
#   ##   -1: the producer gets an acknowledgement after all in-sync replicas have
#   ##       received the data. This option provides the best durability, we
#   ##       guarantee that no messages will be lost as long as at least one in
#   ##       sync replica remains.
#   required_acks = -1
#
#   ##  The total number of times to retry sending a message
#   max_retry = 3
#
#   ## 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.
#   ## 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"
#
#   ## Amazon Credentials
#   ## Credentials are loaded in the following order
#   ## 1) explicit credentials from 'access_key' and 'secret_key'
#   ## 2) environment variables
#   ## 3) shared credentials file
#   ## 4) EC2 Instance Profile
#   #access_key = ""
#   #secret_key = ""
#
#   ## 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.
#   ## Debug
#   # debug = false
#   ## Tag Field to populate source attribute (optional)
#   ## This is typically the _hostname_ from which the metric was obtained.
#   source_tag = "host"
#   ## Connection timeout.
#   # timeout = "5s"
#   ## Output Name Template (same as graphite buckets)
#   ## see https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md#graphite
#   template = "host.tags.measurement.field"


# # 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.
#   ## 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.
#   ## 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 = " "



###############################################################################
#                            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
  ## 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


# 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


# # 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 Cassandra metrics through Jolokia
# [[inputs.cassandra]]
#   # This is the context root used to compose the jolokia url
#   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"
#   ]


# # Collects performance metrics from the MON and OSD nodes in a Ceph storage cluster.
# [[inputs.ceph]]
#   ## All configuration values are optional, defaults are shown below
#
#   ## location of ceph binary
#   ceph_binary = "/usr/bin/ceph"
#
#   ## directory in which to look for socket files
#   socket_dir = "/var/run/ceph"
#
#   ## prefix of MON and OSD socket files, used to determine socket type
#   mon_prefix = "ceph-mon"
#   osd_prefix = "ceph-osd"
#
#   ## suffix used to identify socket files
#   socket_suffix = "asok"


# # Pull Metric Statistics from Amazon CloudWatch
# [[inputs.cloudwatch]]
#   ## Amazon Region
#   region = 'us-east-1'
#
#   ## Amazon Credentials
#   ## Credentials are loaded in the following order
#   ## 1) explicit credentials from 'access_key' and 'secret_key'
#   ## 2) environment variables
#   ## 3) shared credentials file
#   ## 4) EC2 Instance Profile
#   #access_key = ""
#   #secret_key = ""
#
#   ## Requested CloudWatch aggregation Period (required - must be a multiple of 60s)
#   period = '1m'
#
#   ## Collection Delay (required - must account for metrics availability via CloudWatch API)
#   delay = '1m'
#
#   ## Recomended: use metric 'interval' that is a multiple of 'period' to avoid
#   ## gaps or overlap in pulled data
#   interval = '1m'
#
#   ## Metric Statistic Namespace (required)
#   namespace = 'AWS/ELB'
#
#   ## Metrics to Pull (optional)
#   ## Defaults to all Metrics in Namespace if nothing is provided
#   ## Refreshes Namespace available metrics every 1h
#   #[[inputs.cloudwatch.metrics]]
#   #  names = ['Latency', 'RequestCount']
#   #
#   #  ## Dimension filters for Metric (optional)
#   #  [[inputs.cloudwatch.metrics.dimensions]]
#   #    name = 'LoadBalancerName'
#   #    value = 'p-example'


# # Read metrics from one or many couchbase clusters
# [[inputs.couchbase]]
#   ## specify servers via a url matching:
#   ##  [protocol://][:password]@address[:port]
#   ##  e.g.
#   ##    http://couchbase-0.example.com/
#   ##    http://admin:secret@couchbase-0.example.com:8091/
#   ##
#   ## If no servers are specified, then localhost is used as the host.
#   ## If no protocol is specifed, HTTP is used.
#   ## If no port is specified, 8091 is used.
#   servers = ["http://localhost:8091"]


# # 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 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. Default is "A"
#   ## Posible values: A, AAAA, CNAME, MX, NS, PTR, TXT, SOA, SPF, SRV.
#   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 = []
#   ## Timeout for docker list, info, and stats commands
#   timeout = "5s"


# # 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"]
#   ## Type is one of "user", "domain", "ip", or "global"
#   type = "global"
#   ## Wildcard matches like "*.com". An empty string "" is same as "*"
#   ## If type = "ip" filters should be <IP/network>
#   filters = [""]


# # 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"]
#
#   ## Timeout for each command to complete.
#   timeout = "5s"
#
#   ## measurement name suffix (for separating different commands)
#   name_suffix = "_mycollector"
#
#   ## Data format to consume.
#   ## 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 stats about given file(s)
# [[inputs.filestat]]
#   ## Files to gather stats about.
#   ## 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/log/**.log"]
#   ## If true, read the entire file and calculate an md5 checksum.
#   md5 = false


# # 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
#   ## servers = ["socket:/run/haproxy/admin.sock"]


# # HTTP/HTTPS request given an address a method and a timeout
# [[inputs.http_response]]
#   ## Server address (default http://localhost)
#   address = "http://github.com"
#   ## Set response_timeout (default 5 seconds)
#   response_timeout = "5s"
#   ## HTTP Request Method
#   method = "GET"
#   ## Whether to follow redirects from the server (defaults to false)
#   follow_redirects = true
#   ## HTTP Request Headers (all values must be strings)
#   # [inputs.http_response.headers]
#   #   Host = "github.com"
#   ## Optional HTTP Request Body
#   # body = '''
#   # {'fake':'data'}
#   # '''


# # 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"
#
#   ## 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


# # 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 metrics from one or many bare metal servers
# [[inputs.ipmi_sensor]]
#   ## specify servers via a url matching:
#   ##  [username[:password]@][protocol[(address)]]
#   ##  e.g.
#   ##    root:passwd@lan(127.0.0.1)
#   ##
#   servers = ["USERID:PASSW0RD@lan(192.168.1.1)"]


# # Read JMX metrics through Jolokia
# [[inputs.jolokia]]
#   ## This is the context root used to compose the jolokia url
#   context = "/jolokia"
#
#   ## This specifies the mode used
#   # mode = "proxy"
#   #
#   ## When in proxy mode this section is used to specify further
#   ## proxy address configurations.
#   ## Remember to change host address to fit your environment.
#   # [inputs.jolokia.proxy]
#   #   host = "127.0.0.1"
#   #   port = "8080"
#
#
#   ## List of servers exposing jolokia read service
#   [[inputs.jolokia.servers]]
#     name = "as-server-01"
#     host = "127.0.0.1"
#     port = "8080"
#     # 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"
#     mbean  = "java.lang:type=Memory"
#     attribute = "HeapMemoryUsage"
#
#   ## This collect thread counts metrics.
#   [[inputs.jolokia.metrics]]
#     name = "thread_count"
#     mbean  = "java.lang:type=Threading"
#     attribute = "TotalStartedThreadCount,ThreadCount,DaemonThreadCount,PeakThreadCount"
#
#   ## This collect number of class loaded/unloaded counts metrics.
#   [[inputs.jolokia.metrics]]
#     name = "class_count"
#     mbean  = "java.lang:type=ClassLoading"
#     attribute = "LoadedClassCount,UnloadedClassCount,TotalLoadedClassCount"


# # 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",
#   #   "/proc/fs/lustre/obdfilter/*/job_stats",
#   # ]
#   # mds_procfiles = [
#   #   "/proc/fs/lustre/mdt/*/md_stats",
#   #   "/proc/fs/lustre/mdt/*/job_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 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.
#   ##    db_user:passwd@tcp(127.0.0.1:3306)/?tls=false
#   ##    db_user@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)/"]
#   ## the limits for metrics form perf_events_statements
#   perf_events_statements_digest_text_limit  = 120
#   perf_events_statements_limit              = 250
#   perf_events_statements_time_limit         = 86400
#   #
#   ## if the list is empty, then metrics are gathered from all databasee tables
#   table_schema_databases                    = []
#   #
#   ## gather metrics from INFORMATION_SCHEMA.TABLES for databases provided above list
#   gather_table_schema                       = false
#   #
#   ## gather thread state counts from INFORMATION_SCHEMA.PROCESSLIST
#   gather_process_list                       = true
#   #
#   ## gather auto_increment columns and max values from information schema
#   gather_info_schema_auto_inc               = true
#   #
#   ## gather metrics from SHOW SLAVE STATUS command output
#   gather_slave_status                       = true
#   #
#   ## gather metrics from SHOW BINARY LOGS command output
#   gather_binary_logs                        = false
#   #
#   ## gather metrics from PERFORMANCE_SCHEMA.TABLE_IO_WAITS_SUMMART_BY_TABLE
#   gather_table_io_waits                     = false
#   #
#   ## gather metrics from PERFORMANCE_SCHEMA.TABLE_LOCK_WAITS
#   gather_table_lock_waits                   = false
#   #
#   ## gather metrics from PERFORMANCE_SCHEMA.TABLE_IO_WAITS_SUMMART_BY_INDEX_USAGE
#   gather_index_io_waits                     = false
#   #
#   ## gather metrics from PERFORMANCE_SCHEMA.EVENT_WAITS
#   gather_event_waits                        = false
#   #
#   ## gather metrics from PERFORMANCE_SCHEMA.FILE_SUMMARY_BY_EVENT_NAME
#   gather_file_events_stats                  = false
#   #
#   ## gather metrics from PERFORMANCE_SCHEMA.EVENTS_STATEMENTS_SUMMARY_BY_DIGEST
#   gather_perf_events_statements             = false
#   #
#   ## Some queries we may want to run less often (such as SHOW GLOBAL VARIABLES)
#   interval_slow                   = "30m"


# # 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
#   timeout = "1s"
#
#   ## Optional string sent to the server
#   # send = "ssh"
#   ## Optional expected string in answer
#   # expect = "ssh"
#   ## Set read timeout (only used if expecting a response)
#   read_timeout = "1s"


# # 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"]


# # Collect kernel snmp counters and network interface statistics
# [[inputs.nstat]]
#   ## file paths for proc files. If empty default paths will be used:
#   ##    /proc/net/netstat, /proc/net/snmp, /proc/net/snmp6
#   ## These can also be overridden with env variables, see README.
#   proc_net_netstat = ""
#   proc_net_snmp    = ""
#   proc_net_snmp6   = ""
#   ## dump metrics with 0 values too
#   dump_zeros       = true


# # Get standard NTP query metrics, requires ntpq executable.
# [[inputs.ntpq]]
#   ## If false, set the -n ntpq flag. Can reduce metric gather time.
#   dns_lookup = true


# # 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 per collection (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 -W <TIMEOUT>)
#   timeout = 1.0
#   ## 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 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"
#   ## A list of databases to pull metrics about. If not specified, metrics for all
#   ## databases are gathered.
#   ## databases = ["app_production", "testing"]
#   #
#   # outputaddress = "db01"
#   ## 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.
#   #
#   ## 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 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"
#
#   ## override for process_name
#   ## This is optional; default is sourced from /proc/<pid>/status
#   # process_name = "bar"
#   ## Field name prefix
#   prefix = ""
#   ## comment this out if you want raw cpu_time stats
#   fielddrop = ["cpu_time_*"]


# # Read metrics from one or many prometheus clients
# [[inputs.prometheus]]
#   ## An array of urls to scrape metrics from.
#   urls = ["http://localhost:9100/metrics"]
#
#   ## Use SSL but skip chain & host verification
#   # insecure_skip_verify = false
#   ## Use bearer token for authorization
#   # bearer_token = /path/to/bearer/token


# # 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;",
#   # ]


# # 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 Varnish HTTP Cache
# [[inputs.varnish]]
#   ## 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.
#   ## stats may also be set to ["all"], which will collect all stats
#   stats = ["MAIN.cache_hit", "MAIN.cache_miss", "MAIN.uptime"]


# # 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 = ["zookeeper:2181"]



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

# # 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"]
#   ## 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 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/#",
#   ]
#
#   # 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 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.
#   ## 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 = ["telegraf"]
#   ## name a queue group
#   queue_group = "telegraf_consumers"
#
#   ## Data format to consume.
#   ## 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]
#
#   ## 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/DATA_FORMATS_INPUT.md#graphite
#   # 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


# # 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
#
#   ## Data format to consume.
#   ## 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"


# # Generic TCP listener
# [[inputs.tcp_listener]]
#   ## Address and port to host TCP listener on
#   service_address = ":8094"
#
#   ## Number of TCP messages allowed to queue up. Once filled, the
#   ## TCP listener will start dropping packets.
#   allowed_pending_messages = 10000
#
#   ## Maximum number of concurrent TCP connections to allow
#   max_tcp_connections = 250
#
#   ## Data format to consume.
#   ## 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"


# # Generic UDP listener
# [[inputs.udp_listener]]
#   ## Address and port to host UDP listener on
#   service_address = ":8092"
#
#   ## Number of UDP messages allowed to queue up. Once filled, the
#   ## UDP listener will start dropping packets.
#   allowed_pending_messages = 10000
#
#   ## Data format to consume.
#   ## 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 about network interface usage
[[inputs.net]]
  interfaces = ["eth0"]

# Read TCP metrics such as established, time wait and sockets counts.
[[inputs.netstat]]

# 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 = []
  ## Timeout for docker list, info, and stats commands
  timeout = "5s"

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

  ## This specifies the mode used
  # mode = "proxy"
  #
  ## When in proxy mode this section is used to specify further
  ## proxy address configurations.
  ## Remember to change host address to fit your environment.
  # [inputs.jolokia.proxy]
  #   host = "127.0.0.1"
  #   port = "8080"


  # List of servers exposing jolokia read service
  [[inputs.jolokia.servers]]
    name = "kafka1"
    host = "kafka1"
    port = "8778"
    # username = "myuser"
    # password = "mypassword"
  [[inputs.jolokia.servers]]
    name = "kafka2"
    host = "kafka2"
    port = "8778"

  # 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"
    mbean = "java.lang:type=Memory"
    attribute = "HeapMemoryUsage"

  # This collect thread counts metrics.
  [[inputs.jolokia.metrics]]
    name = "thread_count"
    mbean = "java.lang:type=Threading"
    attribute = "TotalStartedThreadCount,ThreadCount,DaemonThreadCount,PeakThreadCount"

  # This collect Kafka metrics.
  [[inputs.jolokia.metrics]]
    name = "messages_in"
    mbean = "kafka.server:type=BrokerTopicMetrics,name=MessagesInPerSec"

  [[inputs.jolokia.metrics]]
    name = "bytes_in"
    mbean = "kafka.server:type=BrokerTopicMetrics,name=BytesInPerSec"

  [[inputs.jolokia.metrics]]
    name = "bytes_out"
    mbean = "kafka.server:type=BrokerTopicMetrics,name=BytesOutPerSec"

  # [[inputs.jolokia.metrics]]
  #   name = "request_produce"
  #   mbean = "kafka.network:type=RequestMetrics,name=RequestsPerSec,request=Produce"

  # [[inputs.jolokia.metrics]]
  #   name = "request_fetchc_onsumer"
  #   mbean = "kafka.network:type=RequestMetrics,name=RequestsPerSec,request=FetchConsumer"

  # [[inputs.jolokia.metrics]]
  #   name = "request_fetchf_ollower"
  #   mbean = "kafka.network:type=RequestMetrics,name=RequestsPerSec,request=FetchFollower"

  [[inputs.jolokia.metrics]]
    name = "offline_partitions"
    mbean = "kafka.controller:type=KafkaController,name=OfflinePartitionsCount"

  [[inputs.jolokia.metrics]]
    name = "active_controller"
    mbean = "kafka.controller:type=KafkaController,name=ActiveControllerCount"

  [[inputs.jolokia.metrics]]
    name = "isr_shrinks"
    mbean = "kafka.server:type=ReplicaManager,name=IsrShrinksPerSec"

  [[inputs.jolokia.metrics]]
    name = "isr_expands"
    mbean = "kafka.server:type=ReplicaManager,name=IsrExpandsPerSec"