您遇到的错误可能是由于您的集群配置或常规设置造成的。
我已经逐步完成了您链接的教程并且一切正常 - 我可以连接到主页。我没有进一步说明，但我将描述以下所有步骤。
- 我使用 autopilot feature 创建了新的 GKE 集群。
- 然后我在Cloud Shell 中运行了闲置命令（但您可以使用安装了
kubectl 的任何其他系统）：
ACCOUNT=$(gcloud info --format='value(config.account)')
kubectl create clusterrolebinding owner-cluster-admin-binding \
--clusterrole cluster-admin \
--user $ACCOUNT
-
然后我克隆了 Git repo git clone https://github.com/bibinwilson/kubernetes-prometheus
-
创建命名空间：kubectl create namespace monitoring
-
创建了clusterRole.yaml 文件，内容如下：
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
name: prometheus
rules:
- apiGroups: [""]
resources:
- nodes
- nodes/proxy
- services
- endpoints
- pods
verbs: ["get", "list", "watch"]
- apiGroups:
- extensions
resources:
- ingresses
verbs: ["get", "list", "watch"]
- nonResourceURLs: ["/metrics"]
verbs: ["get"]
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
name: prometheus
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: prometheus
subjects:
- kind: ServiceAccount
name: default
namespace: monitoring
-
创建了一个角色kubectl create -f clusterRole.yaml
-
创建了一个包含闲置内容的文件congi-map.yaml：
apiVersion: v1
kind: ConfigMap
metadata:
name: prometheus-server-conf
labels:
name: prometheus-server-conf
namespace: monitoring
data:
prometheus.rules: |-
groups:
- name: devopscube demo alert
rules:
- alert: High Pod Memory
expr: sum(container_memory_usage_bytes) > 1
for: 1m
labels:
severity: slack
annotations:
summary: High Memory Usage
prometheus.yml: |-
global:
scrape_interval: 5s
evaluation_interval: 5s
rule_files:
- /etc/prometheus/prometheus.rules
alerting:
alertmanagers:
- scheme: http
static_configs:
- targets:
- "alertmanager.monitoring.svc:9093"
scrape_configs:
- job_name: 'node-exporter'
kubernetes_sd_configs:
- role: endpoints
relabel_configs:
- source_labels: [__meta_kubernetes_endpoints_name]
regex: 'node-exporter'
action: keep
- 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'
scheme: https
tls_config:
ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt
bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token
kubernetes_sd_configs:
- role: node
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-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:$2
target_label: __address__
- action: labelmap
regex: __meta_kubernetes_pod_label_(.+)
- source_labels: [__meta_kubernetes_namespace]
action: replace
target_label: kubernetes_namespace
- source_labels: [__meta_kubernetes_pod_name]
action: replace
target_label: kubernetes_pod_name
- job_name: 'kube-state-metrics'
static_configs:
- targets: ['kube-state-metrics.kube-system.svc.cluster.local:8080']
- job_name: 'kubernetes-cadvisor'
scheme: https
tls_config:
ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt
bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token
kubernetes_sd_configs:
- role: node
relabel_configs:
- action: labelmap
regex: __meta_kubernetes_node_label_(.+)
- target_label: __address__
replacement: kubernetes.default.svc:443
- source_labels: [__meta_kubernetes_node_name]
regex: (.+)
target_label: __metrics_path__
replacement: /api/v1/nodes/${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
- 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:$2
- action: labelmap
regex: __meta_kubernetes_service_label_(.+)
- source_labels: [__meta_kubernetes_namespace]
action: replace
target_label: kubernetes_namespace
- source_labels: [__meta_kubernetes_service_name]
action: replace
target_label: kubernetes_name
- 创建了一个配置映射
kubectl create -f config-map.yaml
- 创建了
prometheus-deployment.yaml 文件，内容如下：
apiVersion: apps/v1
kind: Deployment
metadata:
name: prometheus-deployment
namespace: monitoring
labels:
app: prometheus-server
spec:
replicas: 1
selector:
matchLabels:
app: prometheus-server
template:
metadata:
labels:
app: prometheus-server
spec:
containers:
- name: prometheus
image: prom/prometheus
args:
- "--storage.tsdb.retention.time=12h"
- "--config.file=/etc/prometheus/prometheus.yml"
- "--storage.tsdb.path=/prometheus/"
ports:
- containerPort: 9090
resources:
requests:
cpu: 500m
memory: 500M
limits:
cpu: 1
memory: 1Gi
volumeMounts:
- name: prometheus-config-volume
mountPath: /etc/prometheus/
- name: prometheus-storage-volume
mountPath: /prometheus/
volumes:
- name: prometheus-config-volume
configMap:
defaultMode: 420
name: prometheus-server-conf
- name: prometheus-storage-volume
emptyDir: {}
- 已创建部署
kubectl create -f prometheus-deployment.yaml
- 检查过：
wb@cloudshell:~$ kubectl get deployments --namespace=monitoring
NAME READY UP-TO-DATE AVAILABLE AGE
prometheus-deployment 1/1 1 1 145m
- 获得 pod 名称：
wb@cloudshell:~$ kubectl get pods --namespace=monitoring
NAME READY STATUS RESTARTS AGE
prometheus-deployment-7f57368-bk4 1/1 Running 0 146m
-
转发端口kubectl port-forward prometheus-deployment-7f57368-bk4 8080:9090 -n monitoring
-
在第二个窗口中，我打开了另一个 shell 并运行：curl http://localhost:8080，结果是：
wb@cloudshell:~ (wb-project-1)$ curl http://localhost:8080
<a href="/graph">Found</a>.
这意味着该页面可以访问并且可以正常工作 - 您可以尝试继续按照我的步骤进行操作，如果出现问题，请提供您遇到问题的详细信息以及错误所在。