/* 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 * 7 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) pollingFunction := checkForMetrics(projectId, gcmService, time.Now()) framework.ExpectNoError(wait.Poll(pollFrequency, pollTimeout, pollingFunction)) }) }) func checkForMetrics(projectId string, gcmService *gcm.Service, start time.Time) 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 { // 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 } 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 } 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) }