prometheus学习笔记之集群内服务发现环境准备
一、环境介绍
主要演示prometheus在k8s集群中如何通过服务自动去发现k8s集群自有服务及其他服务发现场景,后续会演示集群外部署prometheus自动发现k8s服务并获取数据
创建监控使用的namespaces
kubectl create ns monitoring
配置docker可以下载镜像
[root@k8s-master deploy]# cat /etc/docker/daemon.json #配置registry-mirrors
{
"registry-mirrors": ["https://docker.m.daocloud.io","https://huecker.io","https://dockerhub.timeweb.cloud"],
"exec-opts": ["native.cgroupdriver=systemd"]
}
[
prometheus相关镜像参考地址:https://hub.docker.com/u/prom 都在prom下
二、k8s安装node-exporter
参考地址:https://github.com/prometheus/node_exporter
kubectl create ns monitoring #创建专有的NS
mkdir -p manifest/monitor
cd manifest/monitor
vim node-export-ds.yaml #注意类型是DaemonSet,相比二进制部署,daemonSet方式部署在节点经常变动的情况下避免了手动安装的问题
apiVersion: apps/v1
kind: DaemonSet
metadata:
name: node-exporter
namespace: monitoring
labels:
k8s-app: node-exporter
spec:
selector:
matchLabels:
k8s-app: node-exporter
template:
metadata:
labels:
k8s-app: node-exporter
spec:
tolerations:
- effect: NoSchedule
key: node-role.kubernetes.io/master #注意,你的master节点污点和我的未必一致 通过describe命令查看
containers:
- image: registry-vpc.cn-shanghai.aliyuncs.com/zdbl-base/node-exporter:v1.3.1 #这里我是下载到我的私有仓库,可以直接使用官方的镜像地址,docker配置后应当可以直接下载
name: prometheus-node-exporter
ports:
- containerPort: 9100
hostPort: 9100 #如果不写默认与containerPort一致,注意端口冲突
protocol: TCP
name: metrics
volumeMounts:
- mountPath: /host/proc
name: proc
- mountPath: /host/sys
name: sys
- mountPath: /host
name: rootfs
args:
- --path.procfs=/host/proc
- --path.sysfs=/host/sys
- --path.rootfs=/host
volumes:
- name: proc
hostPath:
path: /proc
- name: sys
hostPath:
path: /sys
- name: rootfs
hostPath:
path: /
hostNetwork: true
hostPID: true
hostIPC: true
kubectl apply -f node-export-ds.yaml
kubectl get pods -n monitoring
NAME READY STATUS RESTARTS AGE
node-exporter-7bp55 1/1 Running 0 1m
node-exporter-klx2b 1/1 Running 0 1m
node-exporter-pcht8 1/1 Running 0 1m
netstat -tnlp|grep 9100 #因为是hostPort
浏览器访问节点 9100 端口 /metrics 接口
二、k8s安装cadvisor
略,参考https://www.cnblogs.com/panwenbin-logs/p/18385045
三、安装NFS 存储类
如果有请忽略
参考文档:https://github.com/kubernetes-sigs/nfs-subdir-external-provisioner/
wget https://github.com/kubernetes-sigs/nfs-subdir-external-provisioner/archive/refs/tags/nfs-subdir-external-provisioner-4.0.18.tar.gz
tar xf nfs-subdir-external-provisioner-4.0.18.tar.gz
cd nfs-subdir-external-provisioner-nfs-subdir-external-provisioner-4.0.18/
cp -r deploy deploy-bak
cd deploy
kubectl create ns nfs-provisioner #创建专用的名称空间
sed -i 's/namespace: default/namespace: nfs-provisioner/g' `grep -rl 'namespace: default' ./` #替换配置文件名称空间
vim deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: nfs-client-provisioner
labels:
app: nfs-client-provisioner
# replace with namespace where provisioner is deployed
namespace: nfs-provisioner
spec:
replicas: 1
strategy:
type: Recreate
selector:
matchLabels:
app: nfs-client-provisioner
template:
metadata:
labels:
app: nfs-client-provisioner
spec:
serviceAccountName: nfs-client-provisioner
containers:
- name: nfs-client-provisioner
image: registry-vpc.cn-shanghai.aliyuncs.com/zdbl-base/nfs-subdir-external-provisioner:v4.0.2
volumeMounts:
- name: nfs-client-root
mountPath: /persistentvolumes
env:
- name: PROVISIONER_NAME
value: k8s-sigs.io/nfs-subdir-external-provisioner
- name: NFS_SERVER #server及挂载点根据你的实际情况进行配置,此处使用的是阿里云的NAS
value: 332fa4bbd2-rho88.cn-shanghai.nas.aliyuncs.com
- name: NFS_PATH
value: /k8s-nfs-sc
volumes:
- name: nfs-client-root
nfs:
server: 332fa4bbd2-rho88.cn-shanghai.nas.aliyuncs.com #上面的保持一致
path: /k8s-nfs-sc
kubectl apply -k .
kubectl get pods -n nfs-provisioner
验证
vim test-claim.yaml
kind: PersistentVolumeClaim
apiVersion: v1
metadata:
name: test-claim
spec:
storageClassName: nfs-client #注意此处名称和class.yaml中定义的名称保持一致
accessModes:
- ReadWriteMany
resources:
requests:
storage: 1Mi
---
kind: Pod
apiVersion: v1
metadata:
name: test-pod
spec:
containers:
- name: test-pod
image: busybox:stable
command:
- "/bin/sh"
args:
- "-c"
- "touch /mnt/SUCCESS && exit 0 || exit 1" #挂载并创建一个文件
volumeMounts:
- name: nfs-pvc
mountPath: "/mnt"
restartPolicy: "Never"
volumes:
- name: nfs-pvc
persistentVolumeClaim:
claimName: test-claim
kubectl apply -f test-pod.yaml
kubectl get pods
NAME READY STATUS RESTARTS AGE
test-pod 0/1 Completed 0 63m
kubectl get pv
NAME CAPACITY ACCESS MODES RECLAIM POLICY STATUS CLAIM STORAGECLASS REASON AGE
pvc-f4e9b50d-6a19-4c7f-bdc9-18855c712fdd 1Mi RWX Delete Bound default/test-claim nfs-client 63m
kubectl get pvc
NAME STATUS VOLUME CAPACITY ACCESS MODES STORAGECLASS AGE
test-claim Bound pvc-f4e9b50d-6a19-4c7f-bdc9-18855c712fdd 1Mi RWX nfs-client 63m
ll /mnt/k8s-nfs-sc/default-test-claim-pvc-f4e9b50d-6a19-4c7f-bdc9-18855c712fdd/SUCCESS
-rw-r--r-- 1 root root 0 2024-09-03 09:29 /mnt/k8s-nfs-sc/default-test-claim-pvc-f4e9b50d-6a19-4c7f-bdc9-18855c712fdd/SUCCESS
设置为NFS默认SC
kubectl get sc
NAME PROVISIONER RECLAIMPOLICY VOLUMEBINDINGMODE ALLOWVOLUMEEXPANSION AGE
nfs-client k8s-sigs.io/nfs-subdir-external-provisioner Delete Immediate false 14m
kubectl patch storageclass nfs-client -p '{"metadata": {"annotations":{"storageclass.kubernetes.io/is-default-class":"true"}}}' #通过打补丁的方式设置 nfs-client 这个SC为默认的SC
storageclass.storage.k8s.io/nfs-client patched
kubectl get sc #可以看到nfs-clinet SC已经有default标识了
NAME PROVISIONER RECLAIMPOLICY VOLUMEBINDINGMODE ALLOWVOLUMEEXPANSION AGE
nfs-client (default) k8s-sigs.io/nfs-subdir-external-provisioner Delete Immediate false 15m
四、k8s部署prometheus
1.创建prometheus相关配置文件
prometheus-cm.yaml
kind: ConfigMap
apiVersion: v1
metadata:
labels:
app: prometheus
name: prometheus-config
namespace: monitoring
data:
prometheus.yml: |
global: #全局配置,同二进制
scrape_interval: 15s
scrape_timeout: 10s
evaluation_interval: 1m
scrape_configs: #数据抓取配置
- job_name: 'kubernetes-node' #k8s自动发现
kubernetes_sd_configs:
- role: node
relabel_configs:
- source_labels: [__address__]
regex: '(.*):10250' #kubelet 默认访问10250 但是我们的node-export部署的端口是9100,所以在抓取数据前需要修改数据采集的端口
replacement: '${1}:9100' #如果监控cadvisor 复制kubernetes-node job_name 将9100端口修改为cadvisor端口即可
target_label: __address__
action: replace
- action: labelmap
regex: __meta_kubernetes_node_label_(.+)
- job_name: 'kubernetes-node-cadvisor' #这来抓取cadvisor数据通过 kubeapi,因为k8s已经内置了cadvisor,如果通过部署的DS获取,参考上面的 kubernetes-node job_name
kubernetes_sd_configs:
- role: node
scheme: https
tls_config:
ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt #访问api-server需要认证,此处使用证书,相关证书和token已经自动挂载到pod中
bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token
relabel_configs:
- action: labelmap
regex: __meta_kubernetes_node_label_(.+)
- target_label: __address__
replacement: kubernetes.default.svc:443
- source_labels: [__meta_kubernetes_node_name]
regex: (.+)
target_label: __metrics_path__
replacement: /api/v1/nodes/${1}/proxy/metrics/cadvisor #变量替换,将$1替换为node名称,名称从上面的regex 正则中获取
- job_name: 'kubernetes-apiserver'
kubernetes_sd_configs:
- role: endpoints
scheme: https
tls_config:
ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt #xxxxxxxxxxxx
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 #保留source_labels中标签,其他过滤
regex: default;kubernetes;https #与source_labels中对应,分别为名称空间 svc名称 svc中port的名称,注意此处是名称不是协议,协议在scheme字段配置
- 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
- source_labels: [__meta_kubernetes_service_annotation_prometheus_io_scheme]
action: replace
target_label: __scheme__
regex: (https?)
- source_labels: [__meta_kubernetes_service_annotation_prometheus_io_path]
action: replace
target_label: __metrics_path__
regex: (.+)
- source_labels: [__address__, __meta_kubernetes_service_annotation_prometheus_io_port]
action: replace
target_label: __address__
regex: ([^:]+)(?::\d+)?;(\d+)
replacement: $1:$2
- action: labelmap
regex: __meta_kubernetes_service_label_(.+) #匹配svc metadata中 lable的标签名称和值
- source_labels: [__meta_kubernetes_namespace]
action: replace
target_label: kubernetes_namespace
- source_labels: [__meta_kubernetes_service_name]
action: replace
target_label: kubernetes_name
prometheus-deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: prometheus-server
namespace: monitoring
labels:
app: prometheus
spec:
replicas: 1
selector:
matchLabels:
app: prometheus
component: server
template:
metadata:
labels:
app: prometheus
component: server
annotations:
prometheus.io/scrape: 'false'
spec:
serviceAccountName: monitor
containers:
- name: prometheus
image: registry-vpc.cn-shanghai.aliyuncs.com/zdbl-base/prometheus:v2.36.1
command:
- prometheus
- --config.file=/etc/prometheus/prometheus.yml
- --storage.tsdb.path=/prometheus
- --storage.tsdb.retention=720h
- --web.enable-lifecycle
ports:
- containerPort: 9090
protocol: TCP
volumeMounts:
- mountPath: /etc/prometheus/prometheus.yml
name: prometheus-config
subPath: prometheus.yml
- mountPath: /prometheus/
name: prometheus-storage-volume
volumes:
- name: prometheus-config
configMap:
name: prometheus-config
items:
- key: prometheus.yml
path: prometheus.yml
mode: 0644
- name: prometheus-storage-volume #这里使用了NFS存储类创建的PVC,如果没有可以直接使用hostPath方式
persistentVolumeClaim:
claimName: prometheus-data
prometheus-pvc.yaml
kind: PersistentVolumeClaim
apiVersion: v1
metadata:
name: prometheus-data
namespace: monitoring
spec:
storageClassName: nfs-client
accessModes:
- ReadWriteMany
resources:
requests:
storage: 10G
prometheus-rbac.yaml
apiVersion: v1
kind: ServiceAccount #prometheus监控集群需要很多权限,此处为了方便支持通过 cluster-admin授权,实际应当给予所以资源读取权限即可
metadata:
name: monitor
namespace: monitoring
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
name: monitor-clusterrolebinding
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: cluster-admin
subjects:
- kind: ServiceAccount
name: monitor
namespace: monitoring
prometheus-svc.yaml
apiVersion: v1
kind: Service
metadata:
name: prometheus
namespace: monitoring
labels:
app: prometheus
spec:
type: NodePort
ports:
- port: 9090
targetPort: 9090
nodePort: 30090
protocol: TCP
selector:
app: prometheus
component: server
2.应用配置文件
kubectl apply -f .
kubectl get pods -n monitoring |grep prometheus
kubectl logs -n monitoring prometheus-server-5d5cc898b6-q69wp
3.访问web页面 节点IP:30090
prometheus参考:https://prometheus.io/docs/prometheus/latest/configuration/configuration/
"一劳永逸" 的话,有是有的,而 "一劳永逸" 的事却极少