telemetry_metrics_statsd v0.1.0 TelemetryMetricsStatsd View Source
Telemetry.Metrics reporter for StatsD-compatible metric servers.
To use it, start the reporter with the start_link/1 function, providing it a list of
Telemetry.Metrics metric definitions:
import Telemetry.Metrics
TelemetryMetricsStatsd.start_link(
metrics: [
counter("http.request.count"),
sum("http.request.payload_size"),
last_value("vm.memory.total")
]
)
Note that in the real project the reporter should be started under a supervisor, e.g. the main supervisor of your application.
By default the reporter sends metrics to localhost:8125 - both hostname and port number can be
configured using the :host and :port options.
Note that the reporter doesn't aggregate metrics in-process - it sends metric updates to StatsD whenever a relevant Telemetry event is emitted.
Translation between Telemetry.Metrics and StatsD
In this section we walk through how the Telemetry.Metrics metric definitions are mapped to StatsD metrics and their types at runtime.
Telemetry.Metrics metric names are translated as follows:
- if the metric name was provided as a string, e.g.
"http.request.count", it is sent to StastD server as-is - if the metric name was provided as a list of atoms, e.g.
[:http, :request, :count], it is first converted to a string by joiging the segments with dots. In this example, the StatsD metric name would be"http.request.count"as well
The names look a little bit different if metric tags are used - since not all StatsD implementations allow explicit tagging, tag values are appended as consecutive segments of the metric name. For example, given the definition
counter("db.query.count", tags: [:table, :operation])
and the event
:telemetry.execute([:db, :query], %{}, %{table: "users", operation: "select"})
the StastD metric name would be "db.query.count.users.select". Note that the tag values are
appended to the base metric name in the order they were declared in the metric definition.
Now to the metric types!
Counter
Telemetry.Metrics counter is simply represented as a StatsD counter. Each event the metric is based on increments the counter by 1. To be more concrete, given the metric definition
counter("http.request.count")
and the event
:telemetry.execute([:http, :request], %{duration: 120})
the following line would be send to StatsD
"http.request.count:1|c"
Last value
Last value metric is represented as a StastD gauge, whose values are always set to the value of the measurement from the most recent event. With the following metric definition
last_value("vm.memory.total")
and the event
:telemetry.execute([:vm, :memory], %{total: 1024})
the following metric update would be send to StatsD
"vm.memory.total:1024|g"
Sum
Sum metric is also represented as a gauge - the difference is that it always changes relatively and is never set to an absolute value. Given metric definition below
sum("http.request.payload_size")
and the event
:telemetry.execute([:http, :request], %{payload_size: 1076})
the following line would be send to StatsD
"http.request.count:+1076|g"
When the measurement is negative, the StatsD gauge is decreased accordingly.
Distribution
There is no metric in StatsD (or at least in the Etsy implementation) equivalent to Telemetry.Metrics distribution. However, since the goal of a distribution metric is to gain an insight into statistics of data points, this reporter translates it to StatsD timer. For example, given the following metric definition
distribution("http.request.duration", buckets: [0])
and the event
:telemetry.execute([:http, :request], %{duration: 120})
the following line would be send to StatsD
"http.request.duration:120|ms"
Since StatsD timers don't maintain a histogram of values, distribution's :buckets option
has no meaning in case of this reporter.
Note: all floating point measurements are rounded to the nearest integer.
Prefixing metric names
Since not all the StatsD implementations provide a proper tagging system, sometimes it's convenient
to prefix all metric names with particular value, to group them by the name of the service,
the host, or something else. You can use :prefix option to provide a prefix which will be
prepended to all metrics published by the reporter.
Maximum datagram size
Metrics are sent to StatsD over UDP, so it's important that the size of the datagram does not
exceed the Maximum Transmission Unit, or MTU, of the link, so that no data is lost on the way.
By default the reporter will break up the datagrams at 512 bytes, but this is configurable via
the :mtu option.
Link to this section Summary
Link to this section Types
option()
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option() ::
{:port, :inet.port_number()}
| {:host, String.t()}
| {:metrics, [Telemetry.Metrics.t()]}
| {:mtu, non_neg_integer()}
| {:prefix, String.t()}
option() ::
{:port, :inet.port_number()}
| {:host, String.t()}
| {:metrics, [Telemetry.Metrics.t()]}
| {:mtu, non_neg_integer()}
| {:prefix, String.t()}
options()
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options() :: [option()]
options() :: [option()]
Link to this section Functions
child_spec(init_arg)
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child_spec(options()) :: Supervisor.child_spec()
child_spec(options()) :: Supervisor.child_spec()
Reporter's child spec.
This function allows you to start the reporter under a supervisor like this:
children = [
{TelemetryMetricsStatsd, options}
]
See start_link/1 for a list of available options.
start_link(options)
View Source
start_link(options()) :: GenServer.on_start()
start_link(options()) :: GenServer.on_start()
Starts a reporter and links it to the calling process.
The available options are:
:metrics- a list of Telemetry.Metrics metric definitions which will be published by the reporter:host- hostname of the StatsD server. Defaults to"localhost".:port- port number of the StatsD server. Defaults to8125.:prefix- a prefix prepended to the name of each metric published by the reporter. Defaults tonil.:mtu- Maximum Transmission Unit of the link between your application and the StatsD server in bytes. This value should not be greater than the actual MTU since this could lead to the data loss when the metrics are published. Defaults to512.
You can read more about all the options in the TelemetryMetricsStatsd module documentation.
Example
import Telemetry.Metrics
TelemetryMetricsStatsd.start_link(
metrics: [
counter("http.request.count"),
sum("http.request.payload_size"),
last_value("vm.memory.total")
],
prefix: "my-service"
)