PoC for datadog metric types
Sadly, you have to pretend to be the datadog agent...
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@ -14,10 +14,13 @@ import (
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func NewAccumulator(
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inputConfig *internal_models.InputConfig,
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metrics chan telegraf.Metric,
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interval time.Duration,
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) *accumulator {
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acc := accumulator{}
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acc.metrics = metrics
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acc.inputConfig = inputConfig
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// at what interval are these being accumulated
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acc.interval = interval
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return &acc
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}
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@ -33,6 +36,8 @@ type accumulator struct {
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inputConfig *internal_models.InputConfig
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prefix string
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interval time.Duration
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}
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func (ac *accumulator) Add(
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@ -140,6 +145,7 @@ func (ac *accumulator) AddFields(
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log.Printf("Error adding point [%s]: %s\n", measurement, err.Error())
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return
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}
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m.SetInterval(ac.interval)
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if ac.debug {
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fmt.Println("> " + m.String())
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}
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@ -116,7 +116,7 @@ func (a *Agent) gatherParallel(metricC chan telegraf.Metric) error {
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defer panicRecover(input)
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defer wg.Done()
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acc := NewAccumulator(input.Config, metricC)
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acc := NewAccumulator(input.Config, metricC, a.Config.Agent.Interval.Duration)
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acc.SetDebug(a.Config.Agent.Debug)
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acc.setDefaultTags(a.Config.Tags)
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@ -167,7 +167,7 @@ func (a *Agent) gatherSeparate(
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var outerr error
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start := time.Now()
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acc := NewAccumulator(input.Config, metricC)
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acc := NewAccumulator(input.Config, metricC, input.Config.Interval)
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acc.SetDebug(a.Config.Agent.Debug)
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acc.setDefaultTags(a.Config.Tags)
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@ -214,7 +214,7 @@ func (a *Agent) Test() error {
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}()
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for _, input := range a.Config.Inputs {
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acc := NewAccumulator(input.Config, metricC)
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acc := NewAccumulator(input.Config, metricC, input.Config.Interval)
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acc.SetDebug(true)
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fmt.Printf("* Plugin: %s, Collection 1\n", input.Name)
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15
metric.go
15
metric.go
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@ -20,6 +20,12 @@ type Metric interface {
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// UnixNano returns the unix nano time of the metric
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UnixNano() int64
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// Interval returns the interval at which the metric was collected
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Interval() time.Duration
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// SetInterval sets the interval above.
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SetInterval(interval time.Duration)
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// Fields returns the fields for the metric
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Fields() map[string]interface{}
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@ -36,6 +42,7 @@ type Metric interface {
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// metric is a wrapper of the influxdb client.Point struct
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type metric struct {
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pt *client.Point
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interval time.Duration
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}
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// NewMetric returns a metric with the given timestamp. If a timestamp is not
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@ -79,6 +86,14 @@ func ParseMetrics(buf []byte) ([]Metric, error) {
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return metrics, err
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}
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func (m *metric) Interval() time.Duration {
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return m.interval
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}
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func (m *metric) SetInterval(interval time.Duration) {
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m.interval = interval
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}
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func (m *metric) Name() string {
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return m.pt.Name()
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}
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@ -9,6 +9,7 @@ import (
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"net/url"
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"sort"
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"strings"
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"time"
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"github.com/influxdata/telegraf"
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"github.com/influxdata/telegraf/internal"
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@ -40,6 +41,9 @@ type Metric struct {
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Points [1]Point `json:"points"`
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Host string `json:"host"`
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Tags []string `json:"tags,omitempty"`
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Interval float64 `json:"interval,omitempty"`
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Type string `json:"type"`
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DeviceName string `json:"device_name"`
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}
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type Point [2]float64
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@ -67,37 +71,15 @@ func (d *Datadog) Write(metrics []telegraf.Metric) error {
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return nil
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}
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ts := TimeSeries{}
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tempSeries := []*Metric{}
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metricCounter := 0
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for _, m := range metrics {
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mname := strings.Replace(m.Name(), "_", ".", -1)
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if dogMs, err := buildMetrics(m); err == nil {
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for fieldName, dogM := range dogMs {
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// name of the datadog measurement
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var dname string
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if fieldName == "value" {
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// adding .value seems redundant here
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dname = mname
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} else {
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dname = mname + "." + strings.Replace(fieldName, "_", ".", -1)
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}
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metric := &Metric{
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Metric: dname,
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Tags: buildTags(m.Tags()),
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Host: m.Tags()["host"],
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}
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metric.Points[0] = dogM
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tempSeries = append(tempSeries, metric)
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metricCounter++
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}
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ts.Series = append(ts.Series, dogMs...)
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} else {
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log.Printf("unable to build Metric for %s, skipping\n", m.Name())
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}
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}
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ts.Series = make([]*Metric, metricCounter)
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copy(ts.Series, tempSeries[0:])
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tsBytes, err := json.Marshal(ts)
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if err != nil {
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return fmt.Errorf("unable to marshal TimeSeries, %s\n", err.Error())
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@ -106,7 +88,11 @@ func (d *Datadog) Write(metrics []telegraf.Metric) error {
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if err != nil {
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return fmt.Errorf("unable to create http.Request, %s\n", err.Error())
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}
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req.Header.Add("Content-Type", "application/json")
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req.Header.Set("Content-Type", "application/json")
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// If we don't pretend to be dogstatsd, it ignores our carefully
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// calculated type.
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req.Header.Set("DD-Dogstatsd-Version", "5.6.3")
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req.Header.Set("User-Agent", "python-requests/2.6.0 CPython/2.7.10")
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resp, err := d.client.Do(req)
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if err != nil {
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@ -136,17 +122,44 @@ func (d *Datadog) authenticatedUrl() string {
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return fmt.Sprintf("%s?%s", d.apiUrl, q.Encode())
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}
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func buildMetrics(m telegraf.Metric) (map[string]Point, error) {
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ms := make(map[string]Point)
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for k, v := range m.Fields() {
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var p Point
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if err := p.setValue(v); err != nil {
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return ms, fmt.Errorf("unable to extract value from Fields, %s", err.Error())
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// Convert a telegraf metric to datadog metrics;
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// we need a separate metric for each field.
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// (also has magic for statsd field names)
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func buildMetrics(m telegraf.Metric) ([]*Metric, error) {
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var datadogMetrics []*Metric
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tags := m.Tags()
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metricType := tags["metric_type"]
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baseDatadogMetric := Metric{
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Metric: m.Name(),
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Tags: buildTags(tags),
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Host: tags["host"],
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Interval: float64(m.Interval()) / float64(time.Second),
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}
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for field, value := range m.Fields() {
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metric := baseDatadogMetric
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if field != "value" {
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metric.Metric += "_" + field
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}
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metric.Metric = strings.Replace(metric.Metric, "_", ".", -1)
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p := &metric.Points[0]
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p[0] = float64(m.Time().Unix())
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ms[k] = p
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if err := p.setValue(value); err != nil {
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return nil, fmt.Errorf("unable to extract value from Fields, %s", err.Error())
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}
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return ms, nil
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if metricType == "counter" ||
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((metricType == "histogram" || metricType == "timing") && field == "count") {
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metric.Type = "rate"
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p[1] /= baseDatadogMetric.Interval
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} else {
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metric.Type = "gauge"
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}
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datadogMetrics = append(datadogMetrics, &metric)
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}
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return datadogMetrics, nil
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}
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func buildTags(mTags map[string]string) []string {
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