Metrics - Cloudwatch v2

metrics/cloudwatch2/cloudwatch2.go

@@ -0,0 +1,249 @@
+// Package cloudwatch2 emits all data as a StatisticsSet (rather than
+// a singular Value) to CloudWatch via the aws-sdk-go-v2 SDK.
+package cloudwatch2
+
+import (
+	"math"
+	"os"
+	"sync"
+	"time"
+
+	"github.com/aws/aws-sdk-go-v2/aws"
+	"github.com/aws/aws-sdk-go-v2/service/cloudwatch"
+	"github.com/aws/aws-sdk-go-v2/service/cloudwatch/cloudwatchiface"
+
+	"github.com/go-kit/kit/log"
+	"github.com/go-kit/kit/metrics"
+	"github.com/go-kit/kit/metrics/convert"
+	"github.com/go-kit/kit/metrics/internal/lv"
+)
+
+const (
+	maxConcurrentRequests = 20
+)
+
+// CloudWatch receives metrics observations and forwards them to CloudWatch.
+// Create a CloudWatch object, use it to create metrics, and pass those metrics as
+// dependencies to the components that will use them.
+//
+// To regularly report metrics to CloudWatch, use the WriteLoop helper method.
+type CloudWatch struct {
+	mtx                   sync.RWMutex
+	sem                   chan struct{}
+	namespace             string
+	svc                   cloudwatchiface.CloudWatchAPI
+	counters              *lv.Space
+	logger                log.Logger
+	numConcurrentRequests int
+}
+
+type option func(*CloudWatch)
+
+func (cw *CloudWatch) apply(opt option) {
+	if opt != nil {
+		opt(cw)
+	}
+}
+
+// WithLogger sets the Logger that will recieve error messages generated
+// during the WriteLoop
+func WithLogger(logger log.Logger) option {
+	return func(cw *CloudWatch) {
+		cw.logger = logger
+	}
+}
+
+// WithConcurrentRequests sets the upper limit on how many
+// cloudwatch.PutMetricDataRequest may be under way at any
+// given time. If n is greater than 20, 20 is used.
+func WithConcurrentRequests(n int) option {
+	return func(cw *CloudWatch) {
+		if n > maxConcurrentRequests {
+			n = maxConcurrentRequests
+		}
+		cw.numConcurrentRequests = n
+	}
+}
+
+// New returns a CloudWatch object that may be used to create metrics.
+// Namespace is applied to all created metrics and maps to the CloudWatch namespace.
+// Callers must ensure that regular calls to Send are performed, either
+// manually or with one of the helper methods.
+func New(namespace string, svc cloudwatchiface.CloudWatchAPI, options ...option) *CloudWatch {
+	cw := &CloudWatch{
+		sem:                   nil, // set below
+		namespace:             namespace,
+		svc:                   svc,
+		counters:              lv.NewSpace(),
+		numConcurrentRequests: 10,
+		logger:                log.NewLogfmtLogger(os.Stderr),
+	}
+
+	for _, optFunc := range options {
+		optFunc(cw)
+	}
+
+	cw.sem = make(chan struct{}, cw.numConcurrentRequests)
+
+	return cw
+}
+
+// NewCounter returns a counter. Observations are aggregated and emitted once
+// per write invocation.
+func (cw *CloudWatch) NewCounter(name string) metrics.Counter {
+	return &Counter{
+		name: name,
+		obs:  cw.counters.Observe,
+	}
+}
+
+// NewGauge returns an gauge. Under the covers, there is no distinctions
+// in CloudWatch for how Counters/Histograms/Gauges are reported, so this
+// just wraps a cloudwatch2.Counter.
+func (cw *CloudWatch) NewGauge(name string) metrics.Gauge {
+	return convert.NewCounterAsGauge(cw.NewCounter(name))
+}
+
+// NewHistogram returns a histogram. Under the covers, there is no distinctions
+// in CloudWatch for how Counters/Histograms/Gauges are reported, so this
+// just wraps a cloudwatch2.Counter.
+func (cw *CloudWatch) NewHistogram(name string) metrics.Histogram {
+	return convert.NewCounterAsHistogram(cw.NewCounter(name))
+}
+
+// WriteLoop is a helper method that invokes Send every time the passed
+// channel fires. This method blocks until the channel is closed, so clients
+// probably want to run it in its own goroutine. For typical usage, create a
+// time.Ticker and pass its C channel to this method.
+func (cw *CloudWatch) WriteLoop(c <-chan time.Time) {
+	for range c {
+		if err := cw.Send(); err != nil {
+			cw.logger.Log("during", "Send", "err", err)
+		}
+	}
+}
+
+// Send will fire an API request to CloudWatch with the latest stats for
+// all metrics. It is preferred that the WriteLoop method is used.
+func (cw *CloudWatch) Send() error {
+	cw.mtx.RLock()
+	defer cw.mtx.RUnlock()
+	now := time.Now()
+
+	var datums []cloudwatch.MetricDatum
+
+	cw.counters.Reset().Walk(func(name string, lvs lv.LabelValues, values []float64) bool {
+		datums = append(datums, cloudwatch.MetricDatum{
+			MetricName:      aws.String(name),
+			Dimensions:      makeDimensions(lvs...),
+			StatisticValues: stats(values),
+			Timestamp:       aws.Time(now),
+		})
+		return true
+	})
+
+	var batches [][]cloudwatch.MetricDatum
+	for len(datums) > 0 {
+		var batch []cloudwatch.MetricDatum
+		lim := len(datums)
+		if lim > maxConcurrentRequests {
+			lim = maxConcurrentRequests
+		}
+		batch, datums = datums[:lim], datums[lim:]
+		batches = append(batches, batch)
+	}
+
+	var errors = make(chan error, len(batches))
+	for _, batch := range batches {
+		go func(batch []cloudwatch.MetricDatum) {
+			cw.sem <- struct{}{}
+			defer func() {
+				<-cw.sem
+			}()
+			req := cw.svc.PutMetricDataRequest(&cloudwatch.PutMetricDataInput{
+				Namespace:  aws.String(cw.namespace),
+				MetricData: batch,
+			})
+			_, err := req.Send()
+			errors <- err
+		}(batch)
+	}
+	var firstErr error
+	for i := 0; i < cap(errors); i++ {
+		if err := <-errors; err != nil && firstErr != nil {
+			firstErr = err
+		}
+	}
+
+	return firstErr
+}
+
+var zero = float64(0.0)
+var zeros = cloudwatch.StatisticSet{
+	Maximum:     &zero,
+	Minimum:     &zero,
+	Sum:         &zero,
+	SampleCount: &zero,
+}
+
+func stats(a []float64) *cloudwatch.StatisticSet {
+	count := float64(len(a))
+	if count == 0 {
+		return &zeros
+	}
+
+	var sum float64
+	var min = math.MaxFloat64
+	var max = math.MaxFloat64 * -1
+	for _, f := range a {
+		sum += f
+		if f < min {
+			min = f
+		}
+		if f > max {
+			max = f
+		}
+	}
+
+	return &cloudwatch.StatisticSet{
+		Maximum:     &max,
+		Minimum:     &min,
+		Sum:         &sum,
+		SampleCount: &count,
+	}
+}
+
+func makeDimensions(labelValues ...string) []cloudwatch.Dimension {
+	dimensions := make([]cloudwatch.Dimension, len(labelValues)/2)
+	for i, j := 0, 0; i < len(labelValues); i, j = i+2, j+1 {
+		dimensions[j] = cloudwatch.Dimension{
+			Name:  aws.String(labelValues[i]),
+			Value: aws.String(labelValues[i+1]),
+		}
+	}
+	return dimensions
+}
+
+type observeFunc func(name string, lvs lv.LabelValues, value float64)
+
+// Counter is a counter. Observations are forwarded to a node
+// object, and aggregated per timeseries.
+type Counter struct {
+	name string
+	lvs  lv.LabelValues
+	obs  observeFunc
+}
+
+// With implements metrics.Counter.
+func (c *Counter) With(labelValues ...string) metrics.Counter {
+	return &Counter{
+		name: c.name,
+		lvs:  c.lvs.With(labelValues...),
+		obs:  c.obs,
+	}
+}
+
+// Add implements metrics.Counter.
+func (c *Counter) Add(delta float64) {
+	c.obs(c.name, c.lvs, delta)
+}

metrics/cloudwatch2/cloudwatch2_test.go

@@ -0,0 +1,147 @@
+package cloudwatch2
+
+import (
+	"strings"
+	"testing"
+
+	"github.com/aws/aws-sdk-go-v2/aws"
+	"github.com/aws/aws-sdk-go-v2/service/cloudwatch"
+	"github.com/aws/aws-sdk-go-v2/service/cloudwatch/cloudwatchiface"
+)
+
+func TestStats(t *testing.T) {
+	testCases := []struct {
+		name string
+		vals []float64
+		xMin float64
+		xMax float64
+		xSum float64
+		xCt  float64
+	}{
+		{
+			"empty",
+			[]float64{},
+			0.0,
+			0.0,
+			0.0,
+			0.0,
+		},
+		{
+			"single",
+			[]float64{3.1416},
+			3.1416,
+			3.1416,
+			3.1416,
+			1.0,
+		},
+		{
+			"double",
+			[]float64{1.0, 9.0},
+			1.0,
+			9.0,
+			10.0,
+			2.0,
+		},
+		{
+			"multiple",
+			[]float64{5.0, 1.0, 9.0, 5.0},
+			1.0,
+			9.0,
+			20.0,
+			4.0,
+		},
+	}
+
+	for _, tc := range testCases {
+		t.Run(tc.name, func(t *testing.T) {
+			s := stats(tc.vals)
+			if tc.xMin != *s.Minimum {
+				t.Errorf("expected [%f]: %f\n", tc.xMin, *s.Minimum)
+			}
+			if tc.xMax != *s.Maximum {
+				t.Errorf("expected [%f]: %f\n", tc.xMax, *s.Maximum)
+			}
+			if tc.xSum != *s.Sum {
+				t.Errorf("expected [%f]: %f\n", tc.xSum, *s.Sum)
+			}
+			if tc.xCt != *s.SampleCount {
+				t.Errorf("expected [%f]: %f\n", tc.xCt, *s.SampleCount)
+			}
+		})
+	}
+}
+
+type mockCloudWatch struct {
+	cloudwatchiface.CloudWatchAPI
+	latestName string
+	latestData []cloudwatch.MetricDatum
+}
+
+func (mcw *mockCloudWatch) PutMetricDataRequest(in *cloudwatch.PutMetricDataInput) cloudwatch.PutMetricDataRequest {
+	mcw.latestName = *in.Namespace
+	mcw.latestData = in.MetricData
+	return cloudwatch.PutMetricDataRequest{
+		// To mock the V2 API, most of the functions spit
+		// out structs that you need to call Send() on.
+		// The non-intuitive thing is that to get the Send() to avoid actually
+		// going across the wire, you just create a dumb aws.Request with either
+		// aws.Request.Data defined (for succes) or with aws.Request.Error
+		// to simulate an Error.
+		Request: &aws.Request{Data: &cloudwatch.PutMetricDataOutput{}},
+		Input:   in,
+	}
+}
+
+func TestSend(t *testing.T) {
+	ns := "example-namespace"
+	svc := &mockCloudWatch{}
+	cw := New(ns, svc)
+
+	c := cw.NewCounter("c").With("charlie", "cat")
+	h := cw.NewHistogram("h").With("hotel", "horse")
+	g := cw.NewGauge("g").With("golf", "giraffe")
+
+	c.Add(4.0)
+	c.Add(5.0)
+	c.Add(6.0)
+	h.Observe(3.0)
+	h.Observe(5.0)
+	h.Observe(7.0)
+	g.Set(2.0)
+	g.Set(5.0)
+	g.Set(8.0)
+
+	err := cw.Send()
+	if err != nil {
+		t.Fatalf("unexpected: %v\n", err)
+	}
+
+	if ns != svc.latestName {
+		t.Errorf("expected namespace %q; not %q\n", ns, svc.latestName)
+	}
+
+	if len(svc.latestData) != 3 {
+		t.Errorf("expected 3 datums: %v\n", svc.latestData)
+	}
+	for _, datum := range svc.latestData {
+		initial := *datum.MetricName
+		if len(datum.Dimensions) != 1 {
+			t.Errorf("expected 1 dimension: %v\n", datum)
+		}
+		if !strings.HasPrefix(*datum.Dimensions[0].Name, initial) {
+			t.Errorf("expected %q in Name of %v\n", initial, datum.Dimensions)
+		}
+		if !strings.HasPrefix(*datum.Dimensions[0].Value, initial) {
+			t.Errorf("expected %q in Value of %v\n", initial, datum.Dimensions)
+		}
+		if datum.StatisticValues == nil {
+			t.Errorf("expected StatisticValues in %v\n", datum)
+		}
+		if *datum.StatisticValues.Sum != 15.0 {
+			t.Errorf("expected 15.0 for Sum in %v\n", datum)
+		}
+		if *datum.StatisticValues.SampleCount != 3.0 {
+			t.Errorf("expected 3.0 for SampleCount in %v\n", datum)
+		}
+	}
+}