Fabric 1.4支持通过pometheus获取到Fabric网络中的一些状态数据。当Fabric部署在K8s环境中的时候，prometheus可以配置成基于自动服务发现获取到所有的Fabric peer和 orderer的状态数据。
具体配置步骤如下 ：
1. 配置ClusterRole并设置相应的权限
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
name: fabricprometheus
rules:
- apiGroups: [""]
resources:
- pods
verbs: ["get", "list", "watch"]
2. 创建ServiceAccount
apiVersion: v1
kind: ServiceAccount
metadata:
name: fabricprometheus
namespace: default
3. ServiceAccount ClusterRole绑定
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
name: fabricprometheus
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: fabricprometheus
subjects:
- kind: ServiceAccount
name: fabricprometheus
namespace: default
4. ConfigMap配置prometheus配置文件
apiVersion: v1
kind: ConfigMap
metadata:
name: fabric-prometheus-config
namespace: default
data:
prometheus.yml: |
global:
scrape_interval: 15s
evaluation_interval: 15s
scrape_configs:
- job_name: 'fabric-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
- source_labels: [__meta_kubernetes_pod_name]
action: replace
target_label: pod_name
5. Prometheus deploy 配置
apiVersion: apps/v1beta2
kind: Deployment
metadata:
labels:
name: fabric-prometheus-deployment
name: fabric-prometheus
namespace: default
spec:
replicas: 1
selector:
matchLabels:
app: fabric-prometheus
template:
metadata:
labels:
app: fabric-prometheus
spec:
containers:
- image: prom/prometheus:latest
name: fabric-prometheus
command:
- "/bin/prometheus"
args:
- "--config.file=/etc/prometheus/prometheus.yml"
- "--storage.tsdb.path=/prometheus"
- "--storage.tsdb.retention=24h"
ports:
- containerPort: 9090
protocol: TCP
volumeMounts:
- mountPath: "/prometheus"
name: data
- mountPath: "/etc/prometheus"
name: config-volume
resources:
requests:
cpu: 100m
memory: 100Mi
limits:
cpu: 500m
memory: 2500Mi
serviceAccountName: fabricprometheus
volumes:
- name: data
emptyDir: {}
- name: config-volume
configMap:
name: fabric-prometheus-config
6. Service配置
kind: Service
apiVersion: v1
metadata:
labels:
app: fabric-prometheus
name: fabric-prometheus
namespace: default
spec:
type: ClusterIP
ports:
- port: 9090
protocol: TCP
targetPort: 9090
selector:
app: fabric-prometheus
7. 在需要查询的peer/orderer节点增加如下配置
template:
metadata:
annotations:
prometheus.io/path: /metrics
prometheus.io/port: "9443"
prometheus.io/scrape: "true"
8. 查询prometheus数据
curl http://xx.xx.xx.xx:9090/api/v1/query -X POST -H "application/x-www-form-urlencoded" -d 'query=up'
