今天主要分享下，在 k8s 集群下，微服务的各种状态指标情况的监控，我们都知道Prometheus是做数据监控的，但说白点，其独特格式的数据，其实都是靠一些源来的，那么这些源有哪些呢？已经有了cadvisor、heapster、metric-server，几乎容器运行的所有指标都能拿到，但是下面这种情况却无能为力：
调度了N个replicas？现在可用的有 N 个？
N 个 Pod 是 running/stopped/terminated 状态？
Pod 重启了N次？
我有 N 个job在运行中而这些则是 kube-state-metrics 提供的内容，它基于client-go开发，轮询Kubernetes API，并将Kubernetes的结构化信息转换为metrics。kube-state-metrics是kubernetes开源的一个插件。
废话不多说，直接上教程。。。
部署教程
下载
- 在官网 kube-state-metrics 下载相应的源码以及部署脚本，本次使用release1.9.7，即v1.9.7版本的 kube-state-metrics
- 执行 cd /kube-state-metrics/examples/standard，可以看到几个文件：
cluster-role-binding.yaml
cluster-role.yaml
deployment.yaml
prometheus-configmap.yaml
service-account.yaml
service.yaml如果Prometheus已经部署，且部署在kube-system空间下，则源码中的namespace不需更改，否则可自定义为monitoring。
更新
- 首先修改 service.yaml
apiVersion: v1
kind: Service
metadata:
annotations:
prometheus.io/scrape: "true"
labels:
app.kubernetes.io/name: kube-state-metrics
app.kubernetes.io/version: v1.9.7
name: kube-state-metrics
namespace: kube-system
spec:
clusterIP: None
ports:
- name: http-metrics
port: 8080
targetPort: http-metrics
- name: telemetry
port: 8081
targetPort: telemetry
selector:
app.kubernetes.io/name: kube-state-metrics很简单，增加了注解方便后面使用
坑：源码中的角色授权绑定的是其写的kind为ClusterRole的资源，但后来发现部署kube-state-metrics服务时，其无法成功访问k8s的api-server，故需要修改，弃用其ClusterRole，使用k8s系统最高权限cluster-admin。
- 更改访问权限
vi cluster-role-binding.yaml
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
labels:
app.kubernetes.io/name: kube-state-metrics
app.kubernetes.io/version: v1.9.7
name: kube-state-metrics
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: cluster-admin #kube-state-metrics
subjects:
- kind: ServiceAccount
name: kube-state-metrics
namespace: kube-system部署
cd /kube-state-metrics/examples/standard
kubectl create -f .此时还需要更新Prometheus的挂载的configMap，因为前面说了只抓取带有prometheus.io/scrape: "true"注解的endpoint
vi prometheus-configmap.yaml
apiVersion: v1
kind: ConfigMap
metadata:
name: prometheus-config
namespace: kube-system
data:
prometheus.yaml: |
global:
scrape_interval: 15s
evaluation_interval: 15s
scrape_configs:
- job_name: 'kubernetes-apiservers'
kubernetes_sd_configs:
- role: endpoints
scheme: https
tls_config:
ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt
bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token
relabel_configs:
- source_labels: [__meta_kubernetes_namespace, __meta_kubernetes_service_name, __meta_kubernetes_endpoint_port_name]
action: keep
regex: default;kubernetes;https
- job_name: 'kubernetes-nodes'
kubernetes_sd_configs:
- role: node
scheme: https
tls_config:
ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt
bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token
relabel_configs:
- action: labelmap
regex: __meta_kubernetes_node_label_(.+)
- target_label: __address__
replacement: kubernetes.default.svc:443
- source_labels: [__meta_kubernetes_node_name]
regex: (.+)
target_label: __metrics_path__
replacement: /api/v1/nodes/${1}/proxy/metrics
- job_name: 'kubernetes-cadvisor'
kubernetes_sd_configs:
- role: node
scheme: https
tls_config:
ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt
bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token
relabel_configs:
- action: labelmap
regex: __meta_kubernetes_node_label_(.+)
- target_label: __address__
replacement: kubernetes.default.svc:443
- source_labels: [__meta_kubernetes_node_name]
regex: (.+)
target_label: __metrics_path__
replacement: /api/v1/nodes/${1}/proxy/metrics/cadvisor
- job_name: 'kubernetes-service-endpoints'
kubernetes_sd_configs:
- role: endpoints
relabel_configs:
- source_labels: [__meta_kubernetes_service_annotation_prometheus_io_scrape]
action: keep
regex: true
- action: labelmap
regex: __meta_kubernetes_service_label_(.+)
- source_labels: [__meta_kubernetes_namespace]
action: replace
target_label: kubernetes_namespace
- source_labels: [__meta_kubernetes_service_name]
action: replace
target_label: service_name
- job_name: 'kubernetes-services'
kubernetes_sd_configs:
- role: service
metrics_path: /probe
params:
module: [http_2xx]
relabel_configs:
- source_labels: [__meta_kubernetes_service_annotation_prometheus_io_probe]
action: keep
regex: true
- source_labels: [__address__]
target_label: __param_target
- target_label: __address__
replacement: blackbox-exporter.example.com:9115
- source_labels: [__param_target]
target_label: instance
- action: labelmap
regex: __meta_kubernetes_service_label_(.+)
- source_labels: [__meta_kubernetes_namespace]
target_label: kubernetes_namespace
- source_labels: [__meta_kubernetes_service_name]
target_label: kubernetes_name
- job_name: 'kubernetes-ingresses'
kubernetes_sd_configs:
- role: ingress
relabel_configs:
- source_labels: [__meta_kubernetes_ingress_annotation_prometheus_io_probe]
action: keep
regex: true
- source_labels: [__meta_kubernetes_ingress_scheme,__address__,__meta_kubernetes_ingress_path]
regex: (.+);(.+);(.+)
replacement: ${1}://${2}${3}
target_label: __param_target
- target_label: __address__
replacement: blackbox-exporter.example.com:9115
- source_labels: [__param_target]
target_label: instance
- action: labelmap
regex: __meta_kubernetes_ingress_label_(.+)
- source_labels: [__meta_kubernetes_namespace]
target_label: kubernetes_namespace
- source_labels: [__meta_kubernetes_ingress_name]
target_label: kubernetes_name
- job_name: 'kubernetes-pods'
kubernetes_sd_configs:
- role: pod
relabel_configs:
- source_labels: [__meta_kubernetes_pod_annotation_prometheus_io_scrape]
action: keep
regex: true
- source_labels: [__meta_kubernetes_pod_annotation_prometheus_io_path]
action: replace
target_label: __metrics_path__
regex: (.+)
- source_labels: [__address__, __meta_kubernetes_pod_annotation_prometheus_io_port]
action: replace
regex: ([^:]+)(?::\d+)?;(\d+)
replacement: $1:$2
target_label: __address__
- action: labelmap
regex: __meta_kubernetes_pod_label_(.+)
- source_labels: [__meta_kubernetes_namespace]
action: replace
target_label: kubernetes_namespace
- source_labels: [__meta_kubernetes_pod_name]
action: replace
target_label: kubernetes_pod_name更新 configmap 后，需要重启 Prometheus 使其生效，如果没部署，则创建 configmap 后执行脚本部署即可。
导入模板
最后从 grafana.com 下载 state-metrics 监控模版导入模板
导入到 grafana 后，即可看到效果咯：
