vocabulary:
  name: StatsD Vocabulary
  description: >-
    Domain vocabulary for the StatsD ecosystem — the original Etsy daemon and
    its line-protocol descendants (DogStatsD, Telegraf StatsD, Veneur,
    gostatsd, brubeck, statsite, bioyino). Covers wire-protocol primitives,
    aggregation semantics, transport, dialect extensions, server architecture,
    and operational concepts.
  version: "1.0.0"
  created: "2026-05-23"
  tags:
  - StatsD
  - DogStatsD
  - Metrics
  - Observability
  - Line Protocol
  - Wire Protocol

terms:
- term: Bucket
  label: Metric Bucket
  definition: >-
    The dotted-path name of a metric (e.g. `app.requests.completed`).
    StatsD aggregates values by bucket and emits derived series under
    `stats.<type>.<bucket>.<suffix>` on flush.

- term: Counter
  label: Counter Metric
  definition: >-
    Wire type `|c`. An integer increment (or decrement) of a named bucket.
    Counters reset to zero on every flush interval. Emit with `@sample_rate`
    on hot paths so the daemon can scale the contribution.

- term: Gauge
  label: Gauge Metric
  definition: >-
    Wire type `|g`. A retained value that persists across flushes. A `+`/`-`
    prefix marks the value as a delta against the current gauge rather than a
    replacement.

- term: Timer
  label: Timer Metric
  definition: >-
    Wire type `|ms`. A duration in milliseconds. The daemon computes count,
    sum, mean, lower, upper, and configured percentiles per flush. Default
    `percentThreshold` is 90.

- term: Histogram
  label: Histogram Metric
  definition: >-
    Wire type `|h` in DogStatsD/Telegraf; in vanilla StatsD configured via
    `histogram` config bins. Records observation counts per bin boundary;
    aggregated locally before flush.

- term: Distribution
  label: Distribution Metric
  definition: >-
    Wire type `|d` — DogStatsD-only. Raw values are forwarded to Datadog for
    global aggregation, enabling cross-host percentiles. Distinct from `|h`
    (local) aggregation.

- term: Set
  label: Set Metric
  definition: >-
    Wire type `|s`. Counts the cardinality of unique values observed in the
    bucket since the last flush. Common for counting unique users, IPs, or
    request IDs.

- term: Meter
  label: Meter Metric
  definition: >-
    Wire type `|m`. Event-rate metric defined in the b/statsd_spec community
    spec. Functionally equivalent to a per-second counter; many modern
    servers fold meters into counters.

- term: SampleRate
  label: Sample Rate
  definition: >-
    `@<float>` clause in the wire line, between 0 and 1. The sender emits
    only a fraction of observations; the daemon scales the contribution by
    `1 / sample_rate` on aggregation.

- term: Tag
  label: Metric Tag
  definition: >-
    `|#k:v,k:v` clause appended to a metric line. A DogStatsD/Telegraf
    extension; vanilla Etsy StatsD ignores it. Tags add dimensions to a
    metric (env, service, region, customer, etc.).

- term: WireProtocol
  label: StatsD Wire Protocol
  definition: >-
    The canonical contract of the ecosystem — a UTF-8 line-oriented text
    format carried over UDP (default port 8125) or TCP. The wire protocol,
    not any specific server, is what every client library targets.

- term: FlushInterval
  label: Flush Interval
  definition: >-
    The cadence (in milliseconds; default 10000) at which the daemon
    aggregates buffered observations and emits derived series to its
    configured backends.

- term: AdminInterface
  label: StatsD Admin Interface
  definition: >-
    Plain-text management TCP service on `mgmt_port` (default 8126). Supports
    `stats`, `counters`, `gauges`, `timers`, `delcounters`, `delgauges`,
    `deltimers`, `health [up|down]`, `config`, and `quit` commands.

- term: Backend
  label: Backend Plugin
  definition: >-
    A pluggable sink to which the daemon flushes aggregated series. Bundled
    backends are `graphite`, `console`, and `repeater`; 30+ third-party
    backends ship for AWS CloudWatch, InfluxDB, Datadog, OpenTSDB,
    Stackdriver, Elasticsearch, and more.

- term: Repeater
  label: Repeater Backend
  definition: >-
    Bundled backend that forwards every raw inbound packet to one or more
    downstream StatsD instances. Used to fan out, mirror, or tier
    aggregation hierarchies.

- term: PercentThreshold
  label: Percent Threshold
  definition: >-
    `percentThreshold` config — an array of percentiles to compute for timer
    metrics. Default `[90]`. The daemon emits `upper_NN`, `mean_NN`, and
    `sum_NN` series for each threshold.

- term: DeleteIdleStats
  label: Delete Idle Stats
  definition: >-
    `deleteIdleStats` (and per-type variants `deleteCounters`,
    `deleteGauges`, `deleteTimers`, `deleteSets`) — when true, the daemon
    omits buckets that received no input during the flush interval rather
    than emitting zeroes.

- term: MultiMetricPacket
  label: Multi-Metric Packet
  definition: >-
    A single datagram carrying multiple metric lines separated by `\n`. The
    canonical batching mechanism on UDP; senders SHOULD keep total packet
    size below the network MTU to avoid IP fragmentation.

- term: Event
  label: DogStatsD Event
  definition: >-
    `_e{title.len,text.len}:title|text|...` payload — surfaces in Datadog's
    event timeline. Optional fields cover timestamp, hostname, priority,
    alert type, source, aggregation key, and tags.

- term: ServiceCheck
  label: DogStatsD Service Check
  definition: >-
    `_sc|name|status|...` payload, where status 0/1/2/3 maps to
    OK/WARNING/CRITICAL/UNKNOWN. The trailing `m:` message field, when
    present, MUST be last.

- term: UnixDomainSocket
  label: Unix Domain Socket
  definition: >-
    Alternative DogStatsD transport that eliminates UDP packet loss when
    client and agent share a host. Common pattern in Kubernetes via a
    hostPath-mounted socket.

- term: GlobalAggregation
  label: Global Aggregation
  definition: >-
    Aggregation strategy — practiced by Stripe Veneur, DogStatsD
    distributions, and Wayfair statsdcc — where observations from multiple
    hosts are combined into a single global view, typically via t-digest
    (for percentiles) and HyperLogLog (for sets).