A InfluxDB/StatsD configuration for Hashicorp Vault

telegraf.d-vault-statsd.conf

# Statsd Server
[[inputs.statsd]]
  ## Address and port to host UDP listener on
  service_address = "127.0.0.1:8126"

  ## The following configuration options control when telegraf clears it's cache
  ## of previous values. If set to false, then telegraf will only clear it's
  ## cache when the daemon is restarted.
  ## Reset gauges every interval (default=true)
  delete_gauges = true
  ## Reset counters every interval (default=true)
  delete_counters = true
  ## Reset sets every interval (default=true)
  delete_sets = true
  ## Reset timings & histograms every interval (default=true)
  delete_timings = true

  ## Percentiles to calculate for timing & histogram stats
  percentiles = [90]

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

  ## Parses tags in the datadog statsd format
  ## http://docs.datadoghq.com/guides/dogstatsd/
  parse_data_dog_tags = false

  ## Statsd data translation templates, more info can be read here:
  ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md#graphite
   templates = [
       "vault.barrier.* measurement.measurement.field*",
       "vault.core.* measurement.measurement.field*",
       "vault.*.expire.* measurement.host.measurement.field*",
       "vault.*.runtime.* measurement.host.measurement.field*",
       "vault.policy.* measurement.measurement.field*",
       "vault.rollback.* measurement.measurement.measurement.mount.field*",
       "vault.route.rollback.* measurement.measurement.measurement.mount.field*",
       "vault.runtime.* measurement.measurement.field*",
       "vault.zookeeper.* measurement.measurement.field*"
   ]

  ## 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

I also suspect it can be simplified a bit but I haven't time yet.