Add e2e tests for GPU monitoring.

test/e2e/framework/framework.go

@@ -80,7 +80,7 @@ type Framework struct {
 	NamespaceDeletionTimeout time.Duration
 	SkipPrivilegedPSPBinding bool // Whether to skip creating a binding to the privileged PSP in the test namespace
 
-	gatherer *containerResourceGatherer
+	gatherer *ContainerResourceGatherer
 	// Constraints that passed to a check which is executed after data is gathered to
 	// see if 99% of results are within acceptable bounds. It has to be injected in the test,
 	// as expectations vary greatly. Constraints are grouped by the container names.

test/e2e/framework/resource_usage_gatherer.go

@@ -191,7 +191,7 @@ func (w *resourceGatherWorker) gather(initialSleep time.Duration) {
 	}
 }
 
-type containerResourceGatherer struct {
+type ContainerResourceGatherer struct {
 	client       clientset.Interface
 	stopCh       chan struct{}
 	workers      []resourceGatherWorker
@@ -208,8 +208,8 @@ type ResourceGathererOptions struct {
 	PrintVerboseLogs            bool
 }
 
-func NewResourceUsageGatherer(c clientset.Interface, options ResourceGathererOptions, pods *v1.PodList) (*containerResourceGatherer, error) {
-	g := containerResourceGatherer{
+func NewResourceUsageGatherer(c clientset.Interface, options ResourceGathererOptions, pods *v1.PodList) (*ContainerResourceGatherer, error) {
+	g := ContainerResourceGatherer{
 		client:       c,
 		stopCh:       make(chan struct{}),
 		containerIDs: make([]string, 0),
@@ -277,7 +277,7 @@ func NewResourceUsageGatherer(c clientset.Interface, options ResourceGathererOpt
 
 // StartGatheringData starts a stat gathering worker blocks for each node to track,
 // and blocks until StopAndSummarize is called.
-func (g *containerResourceGatherer) StartGatheringData() {
+func (g *ContainerResourceGatherer) StartGatheringData() {
 	if len(g.workers) == 0 {
 		return
 	}
@@ -294,7 +294,7 @@ func (g *containerResourceGatherer) StartGatheringData() {
 // generates resource summary for the passed-in percentiles, and returns the summary.
 // It returns an error if the resource usage at any percentile is beyond the
 // specified resource constraints.
-func (g *containerResourceGatherer) StopAndSummarize(percentiles []int, constraints map[string]ResourceConstraint) (*ResourceUsageSummary, error) {
+func (g *ContainerResourceGatherer) StopAndSummarize(percentiles []int, constraints map[string]ResourceConstraint) (*ResourceUsageSummary, error) {
 	close(g.stopCh)
 	Logf("Closed stop channel. Waiting for %v workers", len(g.workers))
 	finished := make(chan struct{})

test/e2e/instrumentation/monitoring/BUILD

@@ -8,6 +8,7 @@ load(
 go_library(
     name = "go_default_library",
     srcs = [
+        "accelerator.go",
         "cadvisor.go",
         "custom_metrics_deployments.go",
         "custom_metrics_stackdriver.go",
@@ -21,6 +22,8 @@ go_library(
         "//test/e2e/framework:go_default_library",
         "//test/e2e/framework/metrics:go_default_library",
         "//test/e2e/instrumentation/common:go_default_library",
+        "//test/e2e/scheduling:go_default_library",
+        "//test/utils/image:go_default_library",
         "//vendor/github.com/influxdata/influxdb/client/v2:go_default_library",
         "//vendor/github.com/onsi/ginkgo:go_default_library",
         "//vendor/github.com/onsi/gomega:go_default_library",
@@ -29,6 +32,7 @@ go_library(
         "//vendor/k8s.io/api/core/v1:go_default_library",
         "//vendor/k8s.io/api/extensions/v1beta1:go_default_library",
         "//vendor/k8s.io/api/rbac/v1:go_default_library",
+        "//vendor/k8s.io/apimachinery/pkg/api/resource:go_default_library",
         "//vendor/k8s.io/apimachinery/pkg/apis/meta/v1:go_default_library",
         "//vendor/k8s.io/apimachinery/pkg/labels:go_default_library",
         "//vendor/k8s.io/apimachinery/pkg/runtime/schema:go_default_library",

test/e2e/instrumentation/monitoring/accelerator.go

@@ -0,0 +1,134 @@
+/*
+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 monitoring
+
+import (
+	"context"
+	"os"
+	"time"
+
+	. "github.com/onsi/ginkgo"
+	"golang.org/x/oauth2/google"
+	gcm "google.golang.org/api/monitoring/v3"
+	"k8s.io/api/core/v1"
+	"k8s.io/apimachinery/pkg/api/resource"
+	metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
+	"k8s.io/apimachinery/pkg/util/wait"
+	"k8s.io/kubernetes/test/e2e/framework"
+	instrumentation "k8s.io/kubernetes/test/e2e/instrumentation/common"
+	"k8s.io/kubernetes/test/e2e/scheduling"
+	"k8s.io/kubernetes/test/utils/image"
+)
+
+// Stackdriver container accelerator metrics, as described here:
+// https://cloud.google.com/monitoring/api/metrics_gcp#gcp-container
+var acceleratorMetrics = []string{
+	"accelerator/duty_cycle",
+	"accelerator/memory_total",
+	"accelerator/memory_used",
+}
+
+var _ = instrumentation.SIGDescribe("Stackdriver Monitoring", func() {
+	BeforeEach(func() {
+		framework.SkipUnlessProviderIs("gce", "gke")
+	})
+
+	f := framework.NewDefaultFramework("stackdriver-monitoring")
+
+	It("should have accelerator metrics [Feature:StackdriverAcceleratorMonitoring]", func() {
+		testStackdriverAcceleratorMonitoring(f)
+	})
+
+})
+
+func testStackdriverAcceleratorMonitoring(f *framework.Framework) {
+	projectId := framework.TestContext.CloudConfig.ProjectID
+
+	ctx := context.Background()
+	client, err := google.DefaultClient(ctx, gcm.CloudPlatformScope)
+
+	gcmService, err := gcm.New(client)
+
+	framework.ExpectNoError(err)
+
+	// set this env var if accessing Stackdriver test endpoint (default is prod):
+	// $ export STACKDRIVER_API_ENDPOINT_OVERRIDE=https://test-monitoring.sandbox.googleapis.com/
+	basePathOverride := os.Getenv("STACKDRIVER_API_ENDPOINT_OVERRIDE")
+	if basePathOverride != "" {
+		gcmService.BasePath = basePathOverride
+	}
+
+	scheduling.SetupNVIDIAGPUNode(f, false)
+
+	// TODO: remove this after cAdvisor race is fixed.
+	time.Sleep(time.Minute)
+
+	f.PodClient().Create(&v1.Pod{
+		ObjectMeta: metav1.ObjectMeta{
+			Name: rcName,
+		},
+		Spec: v1.PodSpec{
+			RestartPolicy: v1.RestartPolicyNever,
+			Containers: []v1.Container{
+				{
+					Name:    rcName,
+					Image:   image.GetE2EImage(image.CudaVectorAdd),
+					Command: []string{"/bin/sh", "-c"},
+					Args:    []string{"nvidia-smi && sleep infinity"},
+					Resources: v1.ResourceRequirements{
+						Limits: v1.ResourceList{
+							framework.NVIDIAGPUResourceName: *resource.NewQuantity(1, resource.DecimalSI),
+						},
+					},
+				},
+			},
+		},
+	})
+
+	metricsMap := map[string]bool{}
+	pollingFunction := checkForAcceleratorMetrics(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 checkForAcceleratorMetrics(projectId string, gcmService *gcm.Service, start time.Time, metricsMap map[string]bool) func() (bool, error) {
+	return func() (bool, error) {
+		counter := 0
+		for _, metric := range acceleratorMetrics {
+			metricsMap[metric] = false
+		}
+		for _, metric := range acceleratorMetrics {
+			// 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", len(ts), metric)
+			} else {
+				framework.Logf("No timeseries for metric %v", metric)
+			}
+		}
+		if counter < 3 {
+			return false, nil
+		}
+		return true, nil
+	}
+}

test/e2e/scheduling/nvidia-gpus.go

@@ -153,7 +153,8 @@ func getGPUsAvailable(f *framework.Framework) int64 {
 	return gpusAvailable
 }
 
-func testNvidiaGPUsOnCOS(f *framework.Framework) {
+func SetupNVIDIAGPUNode(f *framework.Framework, setupResourceGatherer bool) *framework.ContainerResourceGatherer {
+
 	// Skip the test if the base image is not COS.
 	// TODO: Add support for other base images.
 	// CUDA apps require host mounts which is not portable across base images (yet).
@@ -163,7 +164,11 @@ func testNvidiaGPUsOnCOS(f *framework.Framework) {
 	}
 	framework.Logf("Cluster is running on COS. Proceeding with test")
 
-	if f.BaseName == "device-plugin-gpus" {
+	if f.BaseName == "gpus" {
+		dsYamlUrl = "https://raw.githubusercontent.com/ContainerEngine/accelerators/master/cos-nvidia-gpu-installer/daemonset.yaml"
+		gpuResourceName = v1.ResourceNvidiaGPU
+		podCreationFunc = makeCudaAdditionTestPod
+	} else {
 		dsYamlUrlFromEnv := os.Getenv("NVIDIA_DRIVER_INSTALLER_DAEMONSET")
 		if dsYamlUrlFromEnv != "" {
 			dsYamlUrl = dsYamlUrlFromEnv
@@ -172,33 +177,33 @@ func testNvidiaGPUsOnCOS(f *framework.Framework) {
 		}
 		gpuResourceName = framework.NVIDIAGPUResourceName
 		podCreationFunc = makeCudaAdditionDevicePluginTestPod
-	} else {
-		dsYamlUrl = "https://raw.githubusercontent.com/ContainerEngine/accelerators/master/cos-nvidia-gpu-installer/daemonset.yaml"
-		gpuResourceName = v1.ResourceNvidiaGPU
-		podCreationFunc = makeCudaAdditionTestPod
 	}
 
 	framework.Logf("Using %v", dsYamlUrl)
 	// Creates the DaemonSet that installs Nvidia Drivers.
-	// The DaemonSet also runs nvidia device plugin for device plugin test.
 	ds, err := framework.DsFromManifest(dsYamlUrl)
 	Expect(err).NotTo(HaveOccurred())
 	ds.Namespace = f.Namespace.Name
 	_, err = f.ClientSet.ExtensionsV1beta1().DaemonSets(f.Namespace.Name).Create(ds)
-	framework.ExpectNoError(err, "failed to create daemonset")
+	framework.ExpectNoError(err, "failed to create nvidia-driver-installer daemonset")
 	framework.Logf("Successfully created daemonset to install Nvidia drivers.")
 
 	pods, err := framework.WaitForControlledPods(f.ClientSet, ds.Namespace, ds.Name, extensionsinternal.Kind("DaemonSet"))
-	framework.ExpectNoError(err, "getting pods controlled by the daemonset")
+	framework.ExpectNoError(err, "failed to get pods controlled by the nvidia-driver-installer daemonset")
+
 	devicepluginPods, err := framework.WaitForControlledPods(f.ClientSet, "kube-system", "nvidia-gpu-device-plugin", extensionsinternal.Kind("DaemonSet"))
 	if err == nil {
 		framework.Logf("Adding deviceplugin addon pod.")
 		pods.Items = append(pods.Items, devicepluginPods.Items...)
 	}
-	framework.Logf("Starting ResourceUsageGather for the created DaemonSet pods.")
-	rsgather, err := framework.NewResourceUsageGatherer(f.ClientSet, framework.ResourceGathererOptions{false, false, 2 * time.Second, 2 * time.Second, true}, pods)
-	framework.ExpectNoError(err, "creating ResourceUsageGather for the daemonset pods")
-	go rsgather.StartGatheringData()
+
+	var rsgather *framework.ContainerResourceGatherer
+	if setupResourceGatherer {
+		framework.Logf("Starting ResourceUsageGather for the created DaemonSet pods.")
+		rsgather, err = framework.NewResourceUsageGatherer(f.ClientSet, framework.ResourceGathererOptions{false, false, 2 * time.Second, 2 * time.Second, true}, pods)
+		framework.ExpectNoError(err, "creating ResourceUsageGather for the daemonset pods")
+		go rsgather.StartGatheringData()
+	}
 
 	// Wait for Nvidia GPUs to be available on nodes
 	framework.Logf("Waiting for drivers to be installed and GPUs to be available in Node Capacity...")
@@ -206,6 +211,11 @@ func testNvidiaGPUsOnCOS(f *framework.Framework) {
 		return areGPUsAvailableOnAllSchedulableNodes(f)
 	}, driverInstallTimeout, time.Second).Should(BeTrue())
 
+	return rsgather
+}
+
+func testNvidiaGPUsOnCOS(f *framework.Framework) {
+	rsgather := SetupNVIDIAGPUNode(f, true)
 	framework.Logf("Creating as many pods as there are Nvidia GPUs and have the pods run a CUDA app")
 	podList := []*v1.Pod{}
 	for i := int64(0); i < getGPUsAvailable(f); i++ {