# Configuration for telegraf agent
[agent]
  interval = "10s"
  round_interval = true
  metric_batch_size = 1000
  metric_buffer_limit = 10000

  collection_jitter = "3s"
  flush_interval = "10s"
  flush_jitter = "5s"

  debug = false
  quiet = false
  logfile = "/var/log/telegraf/telegraf.log"
  logfile_rotation_interval = "0d"
  logfile_rotation_max_size = "1MB"
  logfile_rotation_max_archives = 5

  hostname = ""

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

# Configuration for sending metrics to InfluxDB
[[outputs.influxdb]]
  urls = ["http://influxdb:8086"] # required
  database = "telegraf" # required
  username = "telegraf"
  password = "minitrue"
  ## If true, the database tag will not be added to the metric.
  exclude_database_tag = false
  retention_policy = ""
  write_consistency = "any"
  timeout = "5s"
  ## If true, no CREATE DATABASE queries will be sent.  Set to true when using
  ## Telegraf with a user without permissions to create databases or when the
  ## database already exists.
  skip_database_creation = false

###############################################################################
#                            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
  report_active = false

# Read metrics about disk usage by mount point
[[inputs.disk]]
  ## Ignore some mountpoints by filesystem type. For example (dev)tmpfs (usually
  ## present on /run, /var/run, /dev/shm or /dev).
  ignore_fs = ["tmpfs", "devtmpfs", "devfs", "iso9660", "overlay", "aufs", "squashfs"]

# Read metrics about disk IO by device
[[inputs.diskio]]
  ## Setting devices will restrict the stats to the specified devices.
  # devices = ["sda", "sdb"]

# 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]]
  ## Uncomment to remove deprecated metrics.  
  # fielddrop = ["uptime_format"]

[[inputs.internal]]  
  collect_memstats = true

# # Read metrics about network interface usage
[[inputs.net]]
  interfaces = ["eth*"]

# # Read metrics about docker containers
[[inputs.docker]]
  endpoint = "unix:///var/run/docker.sock"
  timeout = "5s"

# Statsd Server
[[inputs.statsd]]
  ## Address and port to host UDP listener on
  service_address = ":8125"

  ## Percentiles to calculate for timing & histogram stats.
  percentiles = [50.0, 75.0, 99.0, 99.9]

  ## Delete gauges every interval (default=false)
  delete_gauges = true
  ## Delete counters every interval (default=false)
   delete_counters = true

  ## separator to use between elements of a statsd metric
  metric_separator = "_"

  ## convert measurement names, “.” to “_” and “-” to “__”
  convert_names = false

  ## used to parse StatD variable name correctly for InfluxDB
  ## it enables to have counters/gauges grouped by measurement
  templates = [
    "* measurement.field"
  ]

  ## Parses extensions to statsd in the datadog statsd format
  ## currently supports metrics and datadog tags.
  ## http://docs.datadoghq.com/guides/dogstatsd/
  datadog_extensions = true

  ## 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


# [[inputs.docker_log]]  
#   ##   To use TCP, set endpoint = "tcp://[ip]:[port]"
#   ##   To use environment variables (ie, docker-machine), set endpoint = "ENV"
#   endpoint = "unix:///var/run/docker.sock"

#   ## When true, container logs are read from the beginning; otherwise
#   ## reading begins at the end of the log.
#   # from_beginning = false

#   ## docker labels to include.  Globs accepted.
#   ## Note that an empty array for both will include all labels as tags
#   docker_label_include = ["logcapture"]

#   ## Set the source tag for the metrics to the container ID hostname, eg first 12 chars
#   source_tag = true