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stackdriver_monitoring.go
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/
stackdriver_monitoring.go
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/*
Copyright 2017 The Kubernetes Authors.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
*/
package e2e
import (
"context"
"fmt"
"math"
"time"
"golang.org/x/oauth2/google"
. "github.com/onsi/ginkgo"
"k8s.io/apimachinery/pkg/util/wait"
"k8s.io/kubernetes/test/e2e/common"
"k8s.io/kubernetes/test/e2e/framework"
gcm "google.golang.org/api/monitoring/v3"
)
var (
// Stackdriver container metrics, as descirbed here:
// https://cloud.google.com/monitoring/api/metrics#gcp-container
stackdriverMetrics = []string{
"uptime",
"memory/bytes_total",
"memory/bytes_used",
"cpu/reserved_cores",
"cpu/usage_time",
"memory/page_fault_count",
"disk/bytes_used",
"disk/bytes_total",
"cpu/utilization",
}
pollFrequency = time.Second * 5
pollTimeout = time.Minute * 20
rcName = "resource-consumer"
replicas = 1
cpuUsed = 100
cpuLimit int64 = 200
memoryUsed = 64
memoryLimit int64 = 200
tolerance = 0.25
)
var _ = framework.KubeDescribe("Stackdriver Monitoring", func() {
BeforeEach(func() {
framework.SkipUnlessProviderIs("gke")
})
f := framework.NewDefaultFramework("stackdriver-monitoring")
It("should have cluster metrics [Feature:StackdriverMonitoring]", func() {
projectId := framework.TestContext.CloudConfig.ProjectID
ctx := context.Background()
client, err := google.DefaultClient(ctx, gcm.CloudPlatformScope)
gcmService, err := gcm.New(client)
framework.ExpectNoError(err)
rc := common.NewDynamicResourceConsumer(rcName, common.KindDeployment, replicas, cpuUsed, memoryUsed, 0, cpuLimit, memoryLimit, f)
defer rc.CleanUp()
rc.WaitForReplicas(replicas)
metricsMap := map[string]bool{}
pollingFunction := checkForMetrics(projectId, gcmService, time.Now(), metricsMap)
err = wait.Poll(pollFrequency, pollTimeout, pollingFunction)
if err != nil {
framework.Logf("Missing metrics: %+v\n", metricsMap)
}
framework.ExpectNoError(err)
})
})
func checkForMetrics(projectId string, gcmService *gcm.Service, start time.Time, metricsMap map[string]bool) func() (bool, error) {
return func() (bool, error) {
// TODO: list which metrics are missing in case of failure
counter := 0
correctUtilization := false
for _, metric := range stackdriverMetrics {
metricsMap[metric] = false
}
for _, metric := range stackdriverMetrics {
// TODO: check only for metrics from this cluster
ts, err := fetchTimeSeries(projectId, gcmService, metric, start, time.Now())
framework.ExpectNoError(err)
if len(ts) > 0 {
counter = counter + 1
metricsMap[metric] = true
framework.Logf("Received %v timeseries for metric %v\n", len(ts), metric)
} else {
framework.Logf("No timeseries for metric %v\n", metric)
}
var sum float64 = 0
switch metric {
case "cpu/utilization":
for _, t := range ts {
max := t.Points[0]
maxEnd, _ := time.Parse(time.RFC3339, max.Interval.EndTime)
for _, p := range t.Points {
pEnd, _ := time.Parse(time.RFC3339, p.Interval.EndTime)
if pEnd.After(maxEnd) {
max = p
maxEnd, _ = time.Parse(time.RFC3339, max.Interval.EndTime)
}
}
sum = sum + *max.Value.DoubleValue
framework.Logf("Received %v points for metric %v\n",
len(t.Points), metric)
}
framework.Logf("Most recent cpu/utilization sum: %v\n", sum)
if math.Abs(sum*float64(cpuLimit)-float64(cpuUsed)) > tolerance*float64(cpuUsed) {
return false, nil
} else {
correctUtilization = true
}
}
}
if counter < 9 || !correctUtilization {
return false, nil
}
return true, nil
}
}
func createMetricFilter(metric string, container_name string) string {
return fmt.Sprintf(`metric.type="container.googleapis.com/container/%s" AND
resource.label.container_name="%s"`, metric, container_name)
}
func fetchTimeSeries(projectId string, gcmService *gcm.Service, metric string, start time.Time, end time.Time) ([]*gcm.TimeSeries, error) {
response, err := gcmService.Projects.TimeSeries.
List(fullProjectName(projectId)).
Filter(createMetricFilter(metric, rcName)).
IntervalStartTime(start.Format(time.RFC3339)).
IntervalEndTime(end.Format(time.RFC3339)).
Do()
if err != nil {
return nil, err
}
return response.TimeSeries, nil
}
func fullProjectName(name string) string {
return fmt.Sprintf("projects/%s", name)
}