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一、heapster简介
什么是Heapster?
Heapster是容器集群监控和性能分析工具,天然的支持Kubernetes和CoreOS。
Kubernetes有个出名的监控agent---cAdvisor。在每个kubernetes Node上都会运行cAdvisor,它会收集本机以及容器的监控数据(cpu,memory,filesystem,network,uptime)。
在较新的版本中,K8S已经将cAdvisor功能集成到kubelet组件中。每个Node节点可以直接进行web访问。
cAdvisor web界面访问: http://< Node-IP >:4194 cAdvisor也提供Restful API: https://github.com/google/cadv ... pi.md
Heapster是一个收集者,将每个Node上的cAdvisor的数据进行汇总,然后导到第三方工具(如InfluxDB)。
二、heapster调用kubelet源码分析
1、整体源码
heapster整体的源码分析可以参考文章:https://segmentfault.com/a/1190000008863353#articleHeader2,
上面链接中的文章中会对heapster从启动开始进行分析,主要讲述了下面内容:
- main()
- 创建数据源
- 创建后端服务
- 创建数据processors
- 获取源数据并存储
- heapster API创建
给上述文章的作者点个赞,思路真的非常清晰。不过笔者最关注的点是heapster如何进行的kubelet调用。
2、调用kubelet源码分析
从上述文章提到的 NewKubeletProvider 函数中,我们找到了创建kubeClient和kubeletClient的地方,见下面代码的飘黄部分:
func NewKubeletProvider(uri *url.URL) (MetricsSourceProvider, error) {// 创建kubernetes master及kubelet client相关的配置 kubeConfig, kubeletConfig, err := GetKubeConfigs(uri)
if err != nil {
return nil, err
}
// 创建kubeClient及kubeletClient
kubeClient := kube_client.NewOrDie(kubeConfig)
kubeletClient, err := NewKubeletClient(kubeletConfig)
if err != nil {
return nil, err
}
// 获取下所有的Nodes,测试下创建的client是否能正常通讯
if _, err := kubeClient.Nodes().List(kube_api.ListOptions{
LabelSelector: labels.Everything(),
FieldSelector: fields.Everything()}); err != nil {
glog.Errorf("Failed to load nodes: %v", err)
}
// 监控k8s的nodes变更
// 这里会创建协程进行watch,便于后面调用nodeLister.List()列出所有的nodes。
// 该Watch的实现,需要看下apiServer中的实现,后面会进行讲解
lw := cache.NewListWatchFromClient(kubeClient, "nodes", kube_api.NamespaceAll, fields.Everything())
nodeLister := &cache.StoreToNodeLister{Store: cache.NewStore(cache.MetaNamespaceKeyFunc)}
reflector := cache.NewReflector(lw, &kube_api.Node{}, nodeLister.Store, time.Hour)
reflector.Run()
// 结构在前面介绍过
return &kubeletProvider{
nodeLister: nodeLister,
reflector: reflector,
kubeletClient: kubeletClient,
}, nil
}
1)heapster源码目录
我们发现这个函数所在的文件为kubelet.go,所在的包为metrics/sources/kubelet
我们可以看到,kubelet调用相关的代码都在这个里面:
2)heapster调用kubelet的API
我们进入到NewKubeletClient函数看一下:
// 传入的是KubeletClientConfig,通过读取相关配置,来初始化client
func NewKubeletClient(kubeletConfig *kubelet_client.KubeletClientConfig) (*KubeletClient, error) {
transport, err := kubelet_client.MakeTransport(kubeletConfig)if err != nil {return nil, err }
c :
= &http.Client{ // 此处可以看到,是http调用 Transport: transport,
Timeout: kubeletConfig.HTTPTimeout,
}
return &KubeletClient{ config: kubeletConfig,
client: c,
}, nil
}
接下来我们看一下kubelet_client.go中KubeletClient有哪些方法:
(i)获取所有的containersInfo
第一个,获取所有的container统计信息,如果对cAdvisor比较了解的话,可以进入到该方法的返回值的ContainerInfo里面看下,是非常全面的容器监控信息(后续会有cAdvisor的源码分析,敬请期待)
func (self *KubeletClient) getAllContainers(url string, start, end time.Time) ([]cadvisor.ContainerInfo, error) {// Request data from all subcontainers.此处是构造requestBody request := statsRequest{
ContainerName: "/",
NumStats: 1,
Start: start, // 2017-11-10T06:46:17Z 这种utc格式的时间戳
End: end,
Subcontainers: true,
}
body, err := json.Marshal(request)
if err != nil {
return nil, err
}
req, err := http.NewRequest("POST", url, bytes.NewBuffer(body))
if err != nil {
return nil, err
}
// 设置请求头
req.Header.Set("Content-Type", "application/json")
var containers map[string]cadvisor.ContainerInfo
client := self.client
if client == nil {
client = http.DefaultClient
}
err = self.postRequestAndGetValue(client, req, &containers)
if err != nil {
return nil, fmt.Errorf("failed to get all container stats from Kubelet URL %q: %v", url, err)
}
result := make([]cadvisor.ContainerInfo, 0, len(containers))
for _, containerInfo := range containers {
cont := self.parseStat(&containerInfo)
if cont != nil {
result = append(result, *cont)
}
}
return result, nil
}
我们可以看到上面的源码其实是构造了一个http的post请求。那么我们在本地通过restClient模拟一下:
http://ip:10255/stats/container/(为什么用10255端口呢?在上面的源码中初始化NewKubeletClient的地方,我们进入到GetKubeClientConfig看一下就会发现,用的是kubelet的默认开放端口,在configs.go文件中)
返回值部分摘录如下(内容太多,折叠一下):
"/": {"name": "/","subcontainers": [ {
"name": "/docker" },
{
"name": "/init.scope" },
{
"name": "/kube-proxy" },
{
"name": "/kubepods" },
{
"name": "/system.slice" },
{
"name": "/user.slice" }
],
"spec": {"creation_time": "2017-10-14T17:16:59.086488213+08:00","has_cpu": true,"cpu": {"limit": 1024,"max_limit": 0,"mask": "0-3","period": 100000 },
"has_memory": true,"memory": {"limit": 33604153344,"reservation": 9223372036854771712 },
"has_network": true,"has_filesystem": true,"has_diskio": true,"has_custom_metrics": false },
"stats": [ {
"timestamp": "2017-11-10T14:29:25.105117933+08:00","cpu": {"usage": {"total": 916886132160774,"per_cpu_usage": [225713500943530,230866928282148,229896967301966,230408735633130 ],
"user": 443962220000000,"system": 438380440000000 },
"cfs": {"periods": 0,"throttled_periods": 0,"throttled_time": 0 },
"load_average": 0 },
"diskio": {"io_service_bytes": [ {
"major": 7,"minor": 4,"stats": {"Async": 0,"Read": 0,"Sync": 0,"Total": 0,"Write": 0 }
},
{
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},
{
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},
{
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},
{
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},
{
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{
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{
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},
{
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],
"io_serviced": [ {
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},
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]
},
"memory": {"usage": 12189630464,"cache": 288108544,"rss": 3631652864,"swap": 0,"working_set": 7756312576,"failcnt": 0,"container_data": {"pgfault": 8947531,"pgmajfault": 87 },
"hierarchical_data": {"pgfault": 8947531,"pgmajfault": 87 }
},
"network": {"name": "cbr0","rx_bytes": 1885776219,"rx_packets": 8199780,"rx_errors": 0,"rx_dropped": 0,"tx_bytes": 1854690043,"tx_packets": 8765796,"tx_errors": 0,"tx_dropped": 0,"interfaces": [ {
"name": "cbr0","rx_bytes": 1885776219,"rx_packets": 8199780,"rx_errors": 0,"rx_dropped": 0,"tx_bytes": 1854690043,"tx_packets": 8765796,"tx_errors": 0,"tx_dropped": 0 },
{
"name": "ens3","rx_bytes": 25108832715,"rx_packets": 74352449,"rx_errors": 0,"rx_dropped": 0,"tx_bytes": 93157559917,"tx_packets": 75983196,"tx_errors": 0,"tx_dropped": 0 }
],
"tcp": {"Established": 0,"SynSent": 0,"SynRecv": 0,"FinWait1": 0,"FinWait2": 0,"TimeWait": 0,"Close": 0,"CloseWait": 0,"LastAck": 0,"Listen": 0,"Closing": 0 },
"tcp6": {"Established": 0,"SynSent": 0,"SynRecv": 0,"FinWait1": 0,"FinWait2": 0,"TimeWait": 0,"Close": 0,"CloseWait": 0,"LastAck": 0,"Listen": 0,"Closing": 0 },
"udp": {"Listen": 0,"Dropped": 0,"RxQueued": 0,"TxQueued": 0 },
"udp6": {"Listen": 0,"Dropped": 0,"RxQueued": 0,"TxQueued": 0 }
},
"filesystem": [ {
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{
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{
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{
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],
"task_stats": {"nr_sleeping": 0,"nr_running": 0,"nr_stopped": 0,"nr_uninterruptible": 0,"nr_io_wait": 0 }
},
{
"timestamp": "2017-11-10T14:29:36.487311961+08:00","cpu": {"usage": {"total": 916888682985895,"per_cpu_usage": [225714036142385,230867670611465,229897633996290,230409342235755 ],
"user": 443963990000000,"system": 438381050000000 },
"cfs": {"periods": 0,"throttled_periods": 0,"throttled_time": 0 },
"load_average": 0 },
"diskio": {"io_service_bytes": [ {
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},
{
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},
{
"major": 1,"minor": 8,"stats": {"Async": 3,"Read": 3,"Sync": 0,"Total": 3,"Write": 0 }
}
]
},
"memory": {"usage": 12189343744,"cache": 288108544,"rss": 3631366144,"swap": 0,"working_set": 7756025856,"failcnt": 0,"container_data": {"pgfault": 8947531,"pgmajfault": 87 },
"hierarchical_data": {"pgfault": 8947531,"pgmajfault": 87 }
},
"network": {"name": "cbr0","rx_bytes": 1885783888,"rx_packets": 8199819,"rx_errors": 0,"rx_dropped": 0,"tx_bytes": 1854698778,"tx_packets": 8765835,"tx_errors": 0,"tx_dropped": 0,"interfaces": [ {
"name": "cbr0","rx_bytes": 1885783888,"rx_packets": 8199819,"rx_errors": 0,"rx_dropped": 0,"tx_bytes": 1854698778,"tx_packets": 8765835,"tx_errors": 0,"tx_dropped": 0 },
{
"name": "ens3","rx_bytes": 25108971486,"rx_packets": 74353959,"rx_errors": 0,"rx_dropped": 0,"tx_bytes": 93160391886,"tx_packets": 75985129,"tx_errors": 0,"tx_dropped": 0 }
],
"tcp": {"Established": 0,"SynSent": 0,"SynRecv": 0,"FinWait1": 0,"FinWait2": 0,"TimeWait": 0,"Close": 0,"CloseWait": 0,"LastAck": 0,"Listen": 0,"Closing": 0 },
"tcp6": {"Established": 0,"SynSent": 0,"SynRecv": 0,"FinWait1": 0,"FinWait2": 0,"TimeWait": 0,"Close": 0,"CloseWait": 0,"LastAck": 0,"Listen": 0,"Closing": 0 },
"udp": {"Listen": 0,"Dropped": 0,"RxQueued": 0,"TxQueued": 0 },
"udp6": {"Listen": 0,"Dropped": 0,"RxQueued": 0,"TxQueued": 0 }
},
"filesystem": [ {
"device": "/dev/root","type": "vfs","capacity": 20749852672,"usage": 9800732672,"base_usage": 0,"available": 10932342784,"has_inodes": true,"inodes": 2560000,"inodes_free": 2340243,"reads_completed": 0,"reads_merged": 0,"sectors_read": 0,"read_time": 0,"writes_completed": 0,"writes_merged": 0,"sectors_written": 0,"write_time": 0,"io_in_progress": 0,"io_time": 0,"weighted_io_time": 0 },
{
"device": "tmpfs","type": "vfs","capacity": 16802074624,"usage": 2224128,"base_usage": 0,"available": 16799850496,"has_inodes": true,"inodes": 4102069,"inodes_free": 4101999,"reads_completed": 0,"reads_merged": 0,"sectors_read": 0,"read_time": 0,"writes_completed": 0,"writes_merged": 0,"sectors_written": 0,"write_time": 0,"io_in_progress": 0,"io_time": 0,"weighted_io_time": 0 },
{
"device": "shm","type": "vfs","capacity": 67108864,"usage": 0,"base_usage": 0,"available": 67108864,"has_inodes": true,"inodes": 4102069,"inodes_free": 4102068,"reads_completed": 0,"reads_merged": 0,"sectors_read": 0,"read_time": 0,"writes_completed": 0,"writes_merged": 0,"sectors_written": 0,"write_time": 0,"io_in_progress": 0,"io_time": 0,"weighted_io_time": 0 },
{
"device": "/dev/vdb","type": "vfs","capacity": 53660876800,"usage": 35852288,"base_usage": 0,"available": 53625024512,"has_inodes": true,"inodes": 26214400,"inodes_free": 26214393,"reads_completed": 457,"reads_merged": 0,"sectors_read": 13162,"read_time": 3428,"writes_completed": 231,"writes_merged": 20,"sectors_written": 72963,"write_time": 1756,"io_in_progress": 0,"io_time": 3584,"weighted_io_time": 5184 }
],
"task_stats": {"nr_sleeping": 0,"nr_running": 0,"nr_stopped": 0,"nr_uninterruptible": 0,"nr_io_wait": 0 }
}
]
}
View Code 我们可以看到这一段json数据主要分了4部分:
- reference——container本身的引用
- subcontainers——子容器的信息
- spec——说明信息
- stats——统计信息
与cAdvisor提供的统计数据一致:
type ContainerInfo struct { ContainerReference
// The direct subcontainers of the current container. Subcontainers []ContainerReference `json:"subcontainers,omitempty"`
// The isolation used in the container.
Spec ContainerSpec `json:"spec,omitempty"`
// Historical statistics gathered from the container.
Stats []*ContainerStats `json:"stats,omitempty"`
}
太棒了。
那么我就可以知道,获取allcontainers的逻辑,其实就是向kubelet发送了一个http的post请求,然后获取到返回的json数据。
(ii) 获取pod相关的summary
在kubelet_client.go文件中还有一个获取summary的方法:
func (self *KubeletClient) GetSummary(host Host) (*stats.Summary, error) { url :
= url.URL{ Scheme:
"http", Host: host.String(),
Path:
"/stats/summary/", }
if self.config != nil && self.config.EnableHttps { url.Scheme
= "https" }
req, err :
= http.NewRequest("GET", url.String(), nil)if err != nil {return nil, err }
summary :
= &stats.Summary{} client :
= self.clientif client == nil { client
= http.DefaultClient }
err
= self.postRequestAndGetValue(client, req, summary)return summary, err
}
恩,分析一下,很简单,就是一个http get方法的调用。那我们再来模拟一下:
http://ip:10255/stats/summary
直接调用这个url即可,返回值太多,就不一一分析了。返回的数据结构如下:
type Summary struct {// Overall node stats. Node NodeStats `json:"node"`
// Per-pod stats.
Pods []PodStats `json:"pods"`
}
主要就是当前node的统计信息,还有pod的聚合信息。可以自己追进NodeStats和PodeStats的源码中看一下结构,在此就不列了。
值得注意的是,summary里面的stats和ContainerInfo是有些不一样的。比如ContainerInfo里面会有DiskInfo相关的信息。
3)小结
heapster调用kubelet,其实就是发送了两个http请求,一个是get方法,获取所有pod的summary信息,另一个是post方法,获取cAdvisor提供的所有ContainerInfo。然后在pod_aggregator.go方法中进行的数据相关的聚合。那我们对kubelet调用的源码分析就到此为止了。接下来是笔者自己做的一个小实验。
三、实验
1、禁掉节点的4194端口
禁掉node的4194端口后,就无法通过ip:4194获取到cAdvisor的stats数据了。那我们调用一下kubelet的api:调用kubelet的api:http://ip:10255/stats/container/
我们会发现,返回的数据项里缺少了stats这一项,而这一项恰恰是cAdvisor提供的最重要的监控统计数据。
2、重新开启节点的4194端口
重新开启node的4194端口,再重新调用一下kubelet的api,这下返回的结果里面又重新出现了stats这一项。
3、总结
结合kubelet的源码可以发现,在kubelet启动的时候会去启动cAdvisor的4194端口,获取基础的统计数据。 |
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