kubernetes组件kubelet之源码分析启动流程

小咪咪 2022-06-07 01:22 252阅读 0赞

**1.kubelet简介**

kubelet是在每个节点上运行的主要“节点代理”。  
kubelet的工作原理是PodSpec。  
kubelet采用一组通过各种机制提供的PodSpecs（主要通过apiserver），并确保这些PodSpec中描述的容器运行正常。  
**kubelet不管理不是由Kubernetes创建的容器。**  
除了来自Apiserver的PodSpec之外，还有三种可以向Kubelet提供容器清单的方法。  
文件：路径作为标志在命令行中传递。此路径下的文件将被定期监控以进行更新。监控期间默认为20秒，可通过标志进行配置。  
HTTP端点：HTTP端点作为参数在命令行中传递。每20秒检查一次这个端点（也可以用一个标志来配置）。  
HTTP服务器：kubelet还可以监听HTTP并响应一个简单的API提交新的清单。

--------------------

**2.分析的代码版本** `v1.5.0`

--------------------

**3.KubeletServer 配置对象**

kubelet 的路口文件跟其他组件一样，都是在`cmd/`目录下,其真正实现的源码在`/pkg` 下

➜  kubernetes git:(master) ✗ git checkout v1.5.0
    Note: checking out 'v1.5.0'.
    ➜  kubernetes git:(58b7c16a52) ✗

➜  cmd git:(58b7c16a52) ✗ tree kubelet 
    kubelet
    ├── BUILD
    ├── OWNERS
    ├── app
    │   ├── BUILD
    │   ├── auth.go
    │   ├── bootstrap.go
    │   ├── bootstrap_test.go
    │   ├── options
    │   │   ├── BUILD
    │   │   └── options.go
    │   ├── plugins.go
    │   ├── server.go
    │   ├── server_linux.go
    │   ├── server_test.go
    │   └── server_unsupported.go
    └── kubelet.go
    
    2 directories, 14 files

kubelet main 函数入口

package main
    
    import (
        "fmt"
        "os"
    
        "k8s.io/kubernetes/cmd/kubelet/app"
        "k8s.io/kubernetes/cmd/kubelet/app/options"
        _ "k8s.io/kubernetes/pkg/client/metrics/prometheus" // for client metric registration
        "k8s.io/kubernetes/pkg/util/flag"
        "k8s.io/kubernetes/pkg/util/logs"
        _ "k8s.io/kubernetes/pkg/version/prometheus" // for version metric registration
        "k8s.io/kubernetes/pkg/version/verflag"
    
        "github.com/spf13/pflag"
    )
    
    func main() {
        s := options.NewKubeletServer()
        s.AddFlags(pflag.CommandLine)
    
        flag.InitFlags()
        logs.InitLogs()
        defer logs.FlushLogs()
    
        verflag.PrintAndExitIfRequested()
    
        if err := app.Run(s, nil); err != nil { 
            fmt.Fprintf(os.Stderr, "error: %v\n", err)
            os.Exit(1)
        }
    }

这段代码的作用：

创建一个 KubeletServer 对象，这个对象保存着 kubelet 运行需要的所有配置信息
    解析命令行，根据命令行的参数更新 KubeletServer
    根据 KubeletServer 的配置运行真正的 kubelet 程序

options.NewKubeletServer() 主要是初始化启动kubelet所需要的配置参数

// KubeletServer encapsulates all of the parameters necessary for starting up
    // a kubelet. These can either be set via command line or directly.
    type KubeletServer struct { componentconfig.KubeletConfiguration KubeConfig flag.StringFlag BootstrapKubeconfig string // If true, an invalid KubeConfig will result in the Kubelet exiting with an error. RequireKubeConfig bool AuthPath flag.StringFlag // Deprecated -- use KubeConfig instead APIServerList []string // Deprecated -- use KubeConfig instead // Insert a probability of random errors during calls to the master. ChaosChance float64 // Crash immediately, rather than eating panics. ReallyCrashForTesting bool // TODO(mtaufen): It is increasingly looking like nobody actually uses the // Kubelet's runonce mode anymore, so it may be a candidate // for deprecation and removal. // If runOnce is true, the Kubelet will check the API server once for pods, // run those in addition to the pods specified by the local manifest, and exit. RunOnce bool }
    
    // NewKubeletServer will create a new KubeletServer with default values.
    func NewKubeletServer() *KubeletServer {
        versioned := &v1alpha1.KubeletConfiguration{}
        api.Scheme.Default(versioned)
        config := componentconfig.KubeletConfiguration{}
        api.Scheme.Convert(versioned, &config, nil)
        return &KubeletServer{
            KubeConfig:           flag.NewStringFlag("/var/lib/kubelet/kubeconfig"),
            RequireKubeConfig:    false, // in 1.5, default to true
            KubeletConfiguration: config,
        }
    }

这方面涉及的太多，例如 DockerEndpoint 等等 读者有兴趣 可以去看看源码  
在这里就不再解释

--------------------

app.Run(s, nil) 是真正创建并启动kubelet实例

func Run(s *options.KubeletServer, kubeDeps *kubelet.KubeletDeps) error {
        if err := run(s, kubeDeps); err != nil {
            return fmt.Errorf("failed to run Kubelet: %v", err)
    
        }
        return nil
    }
    
    func run(s *options.KubeletServer, kubeDeps *kubelet.KubeletDeps) (err error) {
        // TODO: this should be replaced by a --standalone flag
        standaloneMode := (len(s.APIServerList) == 0 && !s.RequireKubeConfig)
    
        if s.ExitOnLockContention && s.LockFilePath == "" {
            return errors.New("cannot exit on lock file contention: no lock file specified")
        }
    
        done := make(chan struct{})
        if s.LockFilePath != "" {
            glog.Infof("acquiring file lock on %q", s.LockFilePath)
            if err := flock.Acquire(s.LockFilePath); err != nil {
                return fmt.Errorf("unable to acquire file lock on %q: %v", s.LockFilePath, err)
            }
            if s.ExitOnLockContention {
                glog.Infof("watching for inotify events for: %v", s.LockFilePath)
                if err := watchForLockfileContention(s.LockFilePath, done); err != nil {
                    return err
                }
            }
        }
    
        // Set feature gates based on the value in KubeletConfiguration
        err = utilconfig.DefaultFeatureGate.Set(s.KubeletConfiguration.FeatureGates)
        if err != nil {
            return err
        }
    
        // Register current configuration with /configz endpoint
        cfgz, cfgzErr := initConfigz(&s.KubeletConfiguration)
        if utilconfig.DefaultFeatureGate.DynamicKubeletConfig() {
            // Look for config on the API server. If it exists, replace s.KubeletConfiguration
            // with it and continue. initKubeletConfigSync also starts the background thread that checks for new config.
    
            // Don't do dynamic Kubelet configuration in runonce mode
            if s.RunOnce == false {
                remoteKC, err := initKubeletConfigSync(s)
                if err == nil {
                    // Update s (KubeletServer) with new config from API server
                    s.KubeletConfiguration = *remoteKC
                    // Ensure that /configz is up to date with the new config
                    if cfgzErr != nil {
                        glog.Errorf("was unable to register configz before due to %s, will not be able to set now", cfgzErr)
                    } else {
                        setConfigz(cfgz, &s.KubeletConfiguration)
                    }
                    // Update feature gates from the new config
                    err = utilconfig.DefaultFeatureGate.Set(s.KubeletConfiguration.FeatureGates)
                    if err != nil {
                        return err
                    }
                }
            }
        }
    
        if kubeDeps == nil {
            var kubeClient, eventClient *clientset.Clientset
            var cloud cloudprovider.Interface
    
            if s.CloudProvider != componentconfigv1alpha1.AutoDetectCloudProvider {
                cloud, err = cloudprovider.InitCloudProvider(s.CloudProvider, s.CloudConfigFile)
                if err != nil {
                    return err
                }
                if cloud == nil {
                    glog.V(2).Infof("No cloud provider specified: %q from the config file: %q\n", s.CloudProvider, s.CloudConfigFile)
                } else {
                    glog.V(2).Infof("Successfully initialized cloud provider: %q from the config file: %q\n", s.CloudProvider, s.CloudConfigFile)
                }
            }
    
            if s.BootstrapKubeconfig != "" {
                nodeName, err := getNodeName(cloud, nodeutil.GetHostname(s.HostnameOverride))
                if err != nil {
                    return err
                }
                if err := bootstrapClientCert(s.KubeConfig.Value(), s.BootstrapKubeconfig, s.CertDirectory, nodeName); err != nil {
                    return err
                }
            }
    
            clientConfig, err := CreateAPIServerClientConfig(s)
            if err == nil {
                kubeClient, err = clientset.NewForConfig(clientConfig)
                if err != nil {
                    glog.Warningf("New kubeClient from clientConfig error: %v", err)
                }
                // make a separate client for events
                eventClientConfig := *clientConfig
                eventClientConfig.QPS = float32(s.EventRecordQPS)
                eventClientConfig.Burst = int(s.EventBurst)
                eventClient, err = clientset.NewForConfig(&eventClientConfig)
            }
            if err != nil {
                if s.RequireKubeConfig {
                    return fmt.Errorf("invalid kubeconfig: %v", err)
                }
                if standaloneMode {
                    glog.Warningf("No API client: %v", err)
                }
            }
    
            kubeDeps, err = UnsecuredKubeletDeps(s)
            if err != nil {
                return err
            }
    
            kubeDeps.Cloud = cloud
            kubeDeps.KubeClient = kubeClient
            kubeDeps.EventClient = eventClient
        }
    
        if kubeDeps.Auth == nil {
            nodeName, err := getNodeName(kubeDeps.Cloud, nodeutil.GetHostname(s.HostnameOverride))
            if err != nil {
                return err
            }
            auth, err := buildAuth(nodeName, kubeDeps.KubeClient, s.KubeletConfiguration)
            if err != nil {
                return err
            }
            kubeDeps.Auth = auth
        }
    
        if kubeDeps.CAdvisorInterface == nil {
            kubeDeps.CAdvisorInterface, err = cadvisor.New(uint(s.CAdvisorPort), s.ContainerRuntime, s.RootDirectory)
            if err != nil {
                return err
            }
        }
    
        if kubeDeps.ContainerManager == nil {
            if s.SystemCgroups != "" && s.CgroupRoot == "" {
                return fmt.Errorf("invalid configuration: system container was specified and cgroup root was not specified")
            }
            kubeDeps.ContainerManager, err = cm.NewContainerManager(
                kubeDeps.Mounter,
                kubeDeps.CAdvisorInterface,
                cm.NodeConfig{
                    RuntimeCgroupsName:    s.RuntimeCgroups,
                    SystemCgroupsName:     s.SystemCgroups,
                    KubeletCgroupsName:    s.KubeletCgroups,
                    ContainerRuntime:      s.ContainerRuntime,
                    CgroupsPerQOS:         s.ExperimentalCgroupsPerQOS,
                    CgroupRoot:            s.CgroupRoot,
                    CgroupDriver:          s.CgroupDriver,
                    ProtectKernelDefaults: s.ProtectKernelDefaults,
                    EnableCRI:             s.EnableCRI,
                },
                s.ExperimentalFailSwapOn)
    
            if err != nil {
                return err
            }
        }
    
        if err := checkPermissions(); err != nil {
            glog.Error(err)
        }
    
        utilruntime.ReallyCrash = s.ReallyCrashForTesting
    
        rand.Seed(time.Now().UTC().UnixNano())
    
        // TODO(vmarmol): Do this through container config.
        oomAdjuster := kubeDeps.OOMAdjuster
        if err := oomAdjuster.ApplyOOMScoreAdj(0, int(s.OOMScoreAdj)); err != nil {
            glog.Warning(err)
        }
    
        if err := RunKubelet(&s.KubeletConfiguration, kubeDeps, s.RunOnce, standaloneMode); err != nil {
            return err
        }
    
        if s.HealthzPort > 0 {
            healthz.DefaultHealthz()
            go wait.Until(func() {
                err := http.ListenAndServe(net.JoinHostPort(s.HealthzBindAddress, strconv.Itoa(int(s.HealthzPort))), nil)
                if err != nil {
                    glog.Errorf("Starting health server failed: %v", err)
                }
            }, 5*time.Second, wait.NeverStop)
        }
    
        if s.RunOnce {
            return nil
        }
    
        <-done
        return nil
    }

KubeDeps 包含的组件很多，下面列出一些：

CAdvisorInterface：提供 cAdvisor 接口功能的组件，用来获取监控信息
    DockerClient：docker 客户端，用来和 docker 交互
    KubeClient：apiserver 客户端，用来和 api server 通信
    Mounter：执行 mount 相关操作
    NetworkPlugins：网络插件，执行网络设置工作
    VolumePlugins：volume 插件，执行 volume 设置工作

run 方法允许传进来的 kubeDeps 为空，这个时候它会自动生成默认的 kubeDeps 对象，这也就是我们上面代码的逻辑。运行 HTTP Server 的代码我们暂时略过，留作以后再讲，继续来看 RunKubelet，它的代码是这样的

func RunKubelet(kubeCfg *componentconfig.KubeletConfiguration, kubeDeps *kubelet.KubeletDeps, runOnce bool, standaloneMode bool) error {
        hostname := nodeutil.GetHostname(kubeCfg.HostnameOverride)
        // Query the cloud provider for our node name, default to hostname if kcfg.Cloud == nil
        nodeName, err := getNodeName(kubeDeps.Cloud, hostname)
        if err != nil {
            return err
        }
    
        eventBroadcaster := record.NewBroadcaster()
        kubeDeps.Recorder = eventBroadcaster.NewRecorder(api.EventSource{Component: "kubelet", Host: string(nodeName)})
        eventBroadcaster.StartLogging(glog.V(3).Infof)
        if kubeDeps.EventClient != nil {
            glog.V(4).Infof("Sending events to api server.")
            eventBroadcaster.StartRecordingToSink(&unversionedcore.EventSinkImpl{Interface: kubeDeps.EventClient.Events("")})
        } else {
            glog.Warning("No api server defined - no events will be sent to API server.")
        }
    
        // TODO(mtaufen): I moved the validation of these fields here, from UnsecuredKubeletConfig,
        // so that I could remove the associated fields from KubeletConfig. I would
        // prefer this to be done as part of an independent validation step on the
        // KubeletConfiguration. But as far as I can tell, we don't have an explicit
        // place for validation of the KubeletConfiguration yet.
        hostNetworkSources, err := kubetypes.GetValidatedSources(kubeCfg.HostNetworkSources)
        if err != nil {
            return err
        }
    
        hostPIDSources, err := kubetypes.GetValidatedSources(kubeCfg.HostPIDSources)
        if err != nil {
            return err
        }
    
        hostIPCSources, err := kubetypes.GetValidatedSources(kubeCfg.HostIPCSources)
        if err != nil {
            return err
        }
    
        privilegedSources := capabilities.PrivilegedSources{
            HostNetworkSources: hostNetworkSources,
            HostPIDSources:     hostPIDSources,
            HostIPCSources:     hostIPCSources,
        }
        capabilities.Setup(kubeCfg.AllowPrivileged, privilegedSources, 0)
    
        credentialprovider.SetPreferredDockercfgPath(kubeCfg.RootDirectory)
        glog.V(2).Infof("Using root directory: %v", kubeCfg.RootDirectory)
    
        builder := kubeDeps.Builder
        if builder == nil {
            builder = CreateAndInitKubelet
        }
        if kubeDeps.OSInterface == nil {
            kubeDeps.OSInterface = kubecontainer.RealOS{}
        }
        k, err := builder(kubeCfg, kubeDeps, standaloneMode)
        if err != nil {
            return fmt.Errorf("failed to create kubelet: %v", err)
        }
    
        // NewMainKubelet should have set up a pod source config if one didn't exist
        // when the builder was run. This is just a precaution.
        if kubeDeps.PodConfig == nil {
            return fmt.Errorf("failed to create kubelet, pod source config was nil!")
        }
        podCfg := kubeDeps.PodConfig
    
        rlimit.RlimitNumFiles(uint64(kubeCfg.MaxOpenFiles))
    
        // TODO(dawnchen): remove this once we deprecated old debian containervm images.
        // This is a workaround for issue: https://github.com/opencontainers/runc/issues/726
        // The current chosen number is consistent with most of other os dist.
        const maxkeysPath = "/proc/sys/kernel/keys/root_maxkeys"
        const minKeys uint64 = 1000000
        key, err := ioutil.ReadFile(maxkeysPath)
        if err != nil {
            glog.Errorf("Cannot read keys quota in %s", maxkeysPath)
        } else {
            fields := strings.Fields(string(key))
            nkey, _ := strconv.ParseUint(fields[0], 10, 64)
            if nkey < minKeys {
                glog.Infof("Setting keys quota in %s to %d", maxkeysPath, minKeys)
                err = ioutil.WriteFile(maxkeysPath, []byte(fmt.Sprintf("%d", uint64(minKeys))), 0644)
                if err != nil {
                    glog.Warningf("Failed to update %s: %v", maxkeysPath, err)
                }
            }
        }
        const maxbytesPath = "/proc/sys/kernel/keys/root_maxbytes"
        const minBytes uint64 = 25000000
        bytes, err := ioutil.ReadFile(maxbytesPath)
        if err != nil {
            glog.Errorf("Cannot read keys bytes in %s", maxbytesPath)
        } else {
            fields := strings.Fields(string(bytes))
            nbyte, _ := strconv.ParseUint(fields[0], 10, 64)
            if nbyte < minBytes {
                glog.Infof("Setting keys bytes in %s to %d", maxbytesPath, minBytes)
                err = ioutil.WriteFile(maxbytesPath, []byte(fmt.Sprintf("%d", uint64(minBytes))), 0644)
                if err != nil {
                    glog.Warningf("Failed to update %s: %v", maxbytesPath, err)
                }
            }
        }
    
        // process pods and exit.
        if runOnce {
            if _, err := k.RunOnce(podCfg.Updates()); err != nil {
                return fmt.Errorf("runonce failed: %v", err)
            }
            glog.Infof("Started kubelet %s as runonce", version.Get().String())
        } else {
            err := startKubelet(k, podCfg, kubeCfg, kubeDeps)
            if err != nil {
                return err
            }
            glog.Infof("Started kubelet %s", version.Get().String())
        }
        return nil
    }

**RunKubelet 的内容可以分成三个部分：**

1.初始化各个对象，比如 eventBroadcaster，这样就能给 apiserver 发送 kubelet 的事件  
2.通过 builder 创建出来 Kubelet  
3.根据运行模式，运行 Kubelet

--------------------

创建工作是在 k, err := builder(kubeCfg, kubeDeps, standaloneMode) 这句完成的，默认的 builder 是 CreateAndInitKubelet：

func CreateAndInitKubelet(kubeCfg *componentconfig.KubeletConfiguration, kubeDeps *kubelet.KubeletDeps, standaloneMode bool) (k kubelet.KubeletBootstrap, err error) {
        // TODO: block until all sources have delivered at least one update to the channel, or break the sync loop
        // up into "per source" synchronizations
    
        k, err = kubelet.NewMainKubelet(kubeCfg, kubeDeps, standaloneMode)
        if err != nil {
            return nil, err
        }
    
        k.BirthCry()
    
        k.StartGarbageCollection()
    
        return k, nil
    }

**kubelet 的创建**

func NewMainKubelet(kubeCfg *componentconfig.KubeletConfiguration, kubeDeps *KubeletDeps, standaloneMode bool) (*Kubelet, error) {
        ......
    
        // PodConfig 非常重要，它是 pod 信息的来源，kubelet 支持文件、URL 和 apiserver 三种渠道，PodConfig 将它们汇聚到一起，通过管道来传递
        if kubeDeps.PodConfig == nil {
            kubeDeps.PodConfig, err = makePodSourceConfig(kubeCfg, kubeDeps, nodeName)
        }
        ......
    
        // exec 处理函数，进入到容器中执行命令的方式。之前使用的是 nsenter 命令行的方式，后来 docker 提供了 `docker exec` 命令，默认是后者
        var dockerExecHandler dockertools.ExecHandler
        switch kubeCfg.DockerExecHandlerName {
        case "native":
            dockerExecHandler = &dockertools.NativeExecHandler{}
        case "nsenter":
            dockerExecHandler = &dockertools.NsenterExecHandler{}
        default:
            glog.Warningf("Unknown Docker exec handler %q; defaulting to native", kubeCfg.DockerExecHandlerName)
            dockerExecHandler = &dockertools.NativeExecHandler{}
        }
    
        // 使用 reflector 把 ListWatch 得到的服务信息实时同步到 serviceStore 对象中
        serviceStore := cache.NewIndexer(cache.MetaNamespaceKeyFunc, cache.Indexers{cache.NamespaceIndex: cache.MetaNamespaceIndexFunc})
        if kubeClient != nil {
            serviceLW := cache.NewListWatchFromClient(kubeClient.Core().RESTClient(), "services", api.NamespaceAll, fields.Everything())
            cache.NewReflector(serviceLW, &api.Service{}, serviceStore, 0).Run()
        }
        serviceLister := &cache.StoreToServiceLister{Indexer: serviceStore}
    
        // 使用 reflector 把 ListWatch 得到的节点信息实时同步到  nodeStore 对象中
        nodeStore := cache.NewStore(cache.MetaNamespaceKeyFunc)
        if kubeClient != nil {
            fieldSelector := fields.Set{api.ObjectNameField: string(nodeName)}.AsSelector()
            nodeLW := cache.NewListWatchFromClient(kubeClient.Core().RESTClient(), "nodes", api.NamespaceAll, fieldSelector)
            cache.NewReflector(nodeLW, &api.Node{}, nodeStore, 0).Run()
        }
        nodeLister := &cache.StoreToNodeLister{Store: nodeStore}
        nodeInfo := &predicates.CachedNodeInfo{StoreToNodeLister: nodeLister}
    
        ......
    
        // 根据配置信息和各种对象创建 Kubelet 实例
        klet := &Kubelet{
            hostname:                       hostname,
            nodeName:                       nodeName,
            dockerClient:                   kubeDeps.DockerClient,
            kubeClient:                     kubeClient,
            ......
            clusterDomain:                  kubeCfg.ClusterDomain,
            clusterDNS:                     net.ParseIP(kubeCfg.ClusterDNS),
            serviceLister:                  serviceLister,
            nodeLister:                     nodeLister,
            nodeInfo:                       nodeInfo,
            masterServiceNamespace:         kubeCfg.MasterServiceNamespace,
            streamingConnectionIdleTimeout: kubeCfg.StreamingConnectionIdleTimeout.Duration,
            recorder:                       kubeDeps.Recorder,
            cadvisor:                       kubeDeps.CAdvisorInterface,
            diskSpaceManager:               diskSpaceManager,
            ......
        }
    
        ......
    
        // 网络插件的初始化工作
        if plug, err := network.InitNetworkPlugin(kubeDeps.NetworkPlugins, kubeCfg.NetworkPluginName, &criNetworkHost{&networkHost{klet}}, klet.hairpinMode, klet.nonMasqueradeCIDR, int(kubeCfg.NetworkPluginMTU)); err != nil { 
            return nil, err
        } else {
            klet.networkPlugin = plug
        }
    
        // 从 cAdvisor 获取当前机器的信息
        machineInfo, err := klet.GetCachedMachineInfo()
        ......
    
        procFs := procfs.NewProcFS()
        imageBackOff := flowcontrol.NewBackOff(backOffPeriod, MaxContainerBackOff)
    
        klet.livenessManager = proberesults.NewManager()
    
        // podManager 负责管理当前节点上的 pod 信息，它保存了所有 pod 的内容，包括 static pod。
        // kubelet 从本地文件、网络地址和 apiserver 三个地方获取 pod 的内容，
        klet.podCache = kubecontainer.NewCache()
        klet.podManager = kubepod.NewBasicPodManager(kubepod.NewBasicMirrorClient(klet.kubeClient))
        ......
    
        // 创建 runtime 对象，以后会改用 CRI 接口和 runtime 交互，目前使用 DockerManager
        if kubeCfg.EnableCRI {
            ......
        } else {
            switch kubeCfg.ContainerRuntime {
            case "docker":
                runtime := dockertools.NewDockerManager(
                    kubeDeps.DockerClient,
                    kubecontainer.FilterEventRecorder(kubeDeps.Recorder),
                    klet.livenessManager,
                    containerRefManager,
                    klet.podManager,
                    machineInfo,
                    kubeCfg.PodInfraContainerImage,
                    float32(kubeCfg.RegistryPullQPS),
                    int(kubeCfg.RegistryBurst),
                    ContainerLogsDir,
                    kubeDeps.OSInterface,
                    klet.networkPlugin,
                    klet,
                    klet.httpClient,
                    dockerExecHandler,
                    kubeDeps.OOMAdjuster,
                    procFs,
                    klet.cpuCFSQuota,
                    imageBackOff,
                    kubeCfg.SerializeImagePulls,
                    kubeCfg.EnableCustomMetrics,
                    klet.hairpinMode == componentconfig.HairpinVeth && kubeCfg.NetworkPluginName != "kubenet",
                    kubeCfg.SeccompProfileRoot,
                    kubeDeps.ContainerRuntimeOptions...,
                )
                klet.containerRuntime = runtime
                klet.runner = kubecontainer.DirectStreamingRunner(runtime)
            case "rkt":
                ......
            default:
                return nil, fmt.Errorf("unsupported container runtime %q specified", kubeCfg.ContainerRuntime)
            }
        }
    
        ......
    
        klet.pleg = pleg.NewGenericPLEG(klet.containerRuntime, plegChannelCapacity, plegRelistPeriod, klet.podCache, clock.RealClock{})
        klet.runtimeState = newRuntimeState(maxWaitForContainerRuntime)
        klet.updatePodCIDR(kubeCfg.PodCIDR)
    
        // 创建 containerGC 对象，进行周期性的容器清理工作
        containerGC, err := kubecontainer.NewContainerGC(klet.containerRuntime, containerGCPolicy)
        if err != nil {
            return nil, err
        }
        klet.containerGC = containerGC
        klet.containerDeletor = newPodContainerDeletor(klet.containerRuntime, integer.IntMax(containerGCPolicy.MaxPerPodContainer, minDeadContainerInPod))
    
        // 创建 imageManager 对象，管理镜像
        imageManager, err := images.NewImageGCManager(klet.containerRuntime, kubeDeps.CAdvisorInterface, kubeDeps.Recorder, nodeRef, imageGCPolicy)
        if err != nil {
            return nil, fmt.Errorf("failed to initialize image manager: %v", err)
        }
        klet.imageManager = imageManager
    
        // statusManager 实时检测节点上 pod 的状态，并更新到 apiserver 对应的 pod 
        klet.statusManager = status.NewManager(kubeClient, klet.podManager)
    
        // probeManager 检测 pod 的状态，并通过 statusManager 进行更新
        klet.probeManager = prober.NewManager(
            klet.statusManager,
            klet.livenessManager,
            klet.runner,
            containerRefManager,
            kubeDeps.Recorder)
    
        // volumeManager 管理节点上 volume
    
        klet.volumePluginMgr, err =
            NewInitializedVolumePluginMgr(klet, kubeDeps.VolumePlugins)
        if err != nil {
            return nil, err
        }
        ......
        // setup volumeManager
        klet.volumeManager, err = volumemanager.NewVolumeManager(
            kubeCfg.EnableControllerAttachDetach,
            nodeName,
            klet.podManager,
            klet.kubeClient,
            klet.volumePluginMgr,
            klet.containerRuntime,
            kubeDeps.Mounter,
            klet.getPodsDir(),
            kubeDeps.Recorder,
            kubeCfg.ExperimentalCheckNodeCapabilitiesBeforeMount)
    
        // 保存了节点上正在运行的 pod 信息
        runtimeCache, err := kubecontainer.NewRuntimeCache(klet.containerRuntime)
        if err != nil {
            return nil, err
        }
        klet.runtimeCache = runtimeCache
        klet.reasonCache = NewReasonCache()
        klet.workQueue = queue.NewBasicWorkQueue(klet.clock)
    
        // podWorkers 是具体的执行者
        klet.podWorkers = newPodWorkers(klet.syncPod, kubeDeps.Recorder, klet.workQueue, klet.resyncInterval, backOffPeriod, klet.podCache)
    
        ......
        klet.kubeletConfiguration = *kubeCfg
        return klet, nil
    }

NewMainKubelet 正如名字所示，主要的工作就是创建 Kubelet 这个对象，它包含了 kubelet 运行需要的所有对象，上面的代码就是各种对象的初始化和赋值的过程，这里只介绍几个非常重要的对象来说：

podConfig：这个对象里面会从文件、网络和 apiserver 三个来源中汇聚节点要运行的 pod 信息，并通过管道发送出来，读取这个管道就能获取实时的 pod 最新配置
    ServiceLister：能够读取 kubernetes 中服务信息
    nodeLister：能够读取 apiserver 中节点的信息
    diskSpaceManager：返回容器存储空间的信息
    podManager：缓存了 pod 的信息，是所有需要该信息都会去访问的地方
    runtime：容器运行时，对容器引擎（docker 或者 rkt）的一层封装，负责调用容器引擎接口管理容器的状态，比如启动、暂停、杀死容器等
    probeManager：如果 pod 配置了状态监测，那么 probeManager 会定时检查 pod 是否正常工作，并通过 statusManager 向 apiserver 更新 pod 的状态
    volumeManager：负责容器需要的 volume 管理。检测某个 volume 是否已经 mount、获取 pod 使用的 volume 等 podWorkers：具体的执行者，每次有 pod 需要更新的时候都会发送给它

这里并不一一展开所有对象的实现和具体功能，以后的文章会对其中一些继续分析。

**kubelet 的运行**

func startKubelet(k kubelet.KubeletBootstrap, podCfg *config.PodConfig, kubeCfg *componentconfig.KubeletConfiguration, kubeDeps *kubelet.KubeletDeps) error {
        // start the kubelet
        go wait.Until(func() { k.Run(podCfg.Updates()) }, 0, wait.NeverStop)
    
        // start the kubelet server
        if kubeCfg.EnableServer {
            go wait.Until(func() {
                k.ListenAndServe(net.ParseIP(kubeCfg.Address), uint(kubeCfg.Port), kubeDeps.TLSOptions, kubeDeps.Auth, kubeCfg.EnableDebuggingHandlers)
            }, 0, wait.NeverStop)
        }
        if kubeCfg.ReadOnlyPort > 0 {
            go wait.Until(func() {
                k.ListenAndServeReadOnly(net.ParseIP(kubeCfg.Address), uint(kubeCfg.ReadOnlyPort))
            }, 0, wait.NeverStop)
        }
    
        return nil
    }

运行 kubelet 主要启动两个功能，k.Run() 来进入主循环，k.ListenAndServe() 启动 kubelet 的 API 服务，后者并不是这篇文章的重点，我们来看看前者，它的执行入口是 k.Run(podCfg.Updates())，podCfg.Updates() 我们前面已经说过，它是一个管道，会实时地发送过来 pod 最新的配置信息，至于是怎么实现的，我们以后再说，这里知道它的作用就行。Run 方法的代码如下：

// Run starts the kubelet reacting to config updates
    func (kl *Kubelet) Run(updates <-chan kubetypes.PodUpdate) {
        if kl.logServer == nil {
            kl.logServer = http.StripPrefix("/logs/", http.FileServer(http.Dir("/var/log/")))
        }
        if kl.kubeClient == nil {
            glog.Warning("No api server defined - no node status update will be sent.")
        }
        if err := kl.initializeModules(); err != nil { 
            kl.recorder.Eventf(kl.nodeRef, api.EventTypeWarning, events.KubeletSetupFailed, err.Error())
            glog.Error(err)
            kl.runtimeState.setInitError(err)
        }
    
        // Start volume manager
        go kl.volumeManager.Run(kl.sourcesReady, wait.NeverStop)
    
        if kl.kubeClient != nil {
            // Start syncing node status immediately, this may set up things the runtime needs to run.
            go wait.Until(kl.syncNodeStatus, kl.nodeStatusUpdateFrequency, wait.NeverStop)
        }
        go wait.Until(kl.syncNetworkStatus, 30*time.Second, wait.NeverStop)
        go wait.Until(kl.updateRuntimeUp, 5*time.Second, wait.NeverStop)
    
        // Start loop to sync iptables util rules
        if kl.makeIPTablesUtilChains {
            go wait.Until(kl.syncNetworkUtil, 1*time.Minute, wait.NeverStop)
        }
    
        // Start a goroutine responsible for killing pods (that are not properly
        // handled by pod workers).
        go wait.Until(kl.podKiller, 1*time.Second, wait.NeverStop)
    
        // Start component sync loops.
        kl.statusManager.Start()
        kl.probeManager.Start()
    
        // Start the pod lifecycle event generator.
        kl.pleg.Start()
        kl.syncLoop(updates, kl)
    }

基本上就是 kubelet 各种组件的启动，每个组件都是以 goroutine 运行的，这里不做赘述。最后一句 kl.syncLoop(updates, kl) 是处理所有 pod 更新的主循环，获取 pod 的变化（新建、修改和删除），调用对应的处理函数保证节点上的容器符合 pod 的配置。

参考原文地址  
[http://cizixs.com/2017/06/06/kubelet-source-code-analysis-part-1][http_cizixs.com_2017_06_06_kubelet-source-code-analysis-part-1]

[http_cizixs.com_2017_06_06_kubelet-source-code-analysis-part-1]: http://cizixs.com/2017/06/06/kubelet-source-code-analysis-part-1