- jaeger的相关知识：
https://yq.aliyun.com/articles/514488
https://www.jaegertracing.io/docs/1.7/
github上的jaeger: https://github.com/jaegertracing，https://github.com/jaegertracing/jaeger-kubernetes
- 本机的kubernetes环境：
mac + docker(https://docs.docker.com/docker-for-mac/)
- 基于kubernetes的jaeger环境部署
本地部署非all-in-one的jaeger，主要分为以下几个步骤。下述步骤中的code均被验证，且image均来自于docker hub。
- configmap 的部署: configmap.yml
apiVersion: v1
kind: ConfigMap
metadata:
name: jaeger-configuration
labels:
app: jaeger
jaeger-infra: configuration
data:
span-storage-type: elasticsearch
collector: |
es:
server-urls: http://elasticsearch:9200
username: elastic
password: changeme
collector:
zipkin:
http-port: 9411
query: |
es:
server-urls: http://elasticsearch:9200
username: elastic
password: changeme 2. jaeger query pod的安装: jaeger-query-deployment.yml
apiVersion: extensions/v1beta1
kind: Deployment
metadata:
name: jaeger-query
labels:
app: jaeger
jaeger-infra: query-deployment
spec:
replicas: 1
strategy:
type: Recreate
template:
metadata:
labels:
app: jaeger
jaeger-infra: query-pod
annotations:
prometheus.io/scrape: "true"
prometheus.io/port: "16686"
spec:
containers:
- image: jaegertracing/jaeger-query:latest
name: jaeger-query
args: ["--config-file=/conf/query.yaml"]
ports:
- containerPort: 16686
protocol: TCP
readinessProbe:
httpGet:
path: "/"
port: 16687
volumeMounts:
- name: jaeger-configuration-volume
mountPath: /conf
env:
- name: SPAN_STORAGE_TYPE
valueFrom:
configMapKeyRef:
name: jaeger-configuration
key: span-storage-type
volumes:
- configMap:
name: jaeger-configuration
items:
- key: query
path: query.yaml
name: jaeger-configuration-volume
3. jaeger query service的安装：jaeger-query-service.yml
apiVersion: v1
kind: Service
metadata:
name: jaeger-query
labels:
app: jaeger
jaeger-infra: query-service
spec:
ports:
- name: jaeger-query
port: 80
protocol: TCP
targetPort: 16686
selector:
jaeger-infra: query-pod
type: LoadBalancer
4. jaeger collector pod的安装：jaeger-query-collector.yml
apiVersion: extensions/v1beta1
kind: Deployment
metadata:
name: jaeger-collector
labels:
app: jaeger
jaeger-infra: collector-deployment
spec:
replicas: 1
strategy:
type: Recreate
template:
metadata:
labels:
app: jaeger
jaeger-infra: collector-pod
annotations:
prometheus.io/scrape: "true"
prometheus.io/port: "14268"
spec:
containers:
- image: jaegertracing/jaeger-collector:latest
name: jaeger-collector
args: ["--config-file=/conf/collector.yaml"]
ports:
- containerPort: 14267
protocol: TCP
- containerPort: 14268
protocol: TCP
- containerPort: 9411
protocol: TCP
readinessProbe:
httpGet:
path: "/"
port: 14269
volumeMounts:
- name: jaeger-configuration-volume
mountPath: /conf
env:
- name: SPAN_STORAGE_TYPE
valueFrom:
configMapKeyRef:
name: jaeger-configuration
key: span-storage-type
volumes:
- configMap:
name: jaeger-configuration
items:
- key: collector
path: collector.yaml
name: jaeger-configuration-volume
5. jaeger collector service的安装：jaeger-query-service.yml
apiVersion: v1
kind: List
items:
- apiVersion: v1
kind: Service
metadata:
name: jaeger-collector
labels:
app: jaeger
jaeger-infra: collector-service
spec:
ports:
- name: jaeger-collector-tchannel
port: 14267
protocol: TCP
targetPort: 14267
- name: jaeger-collector-http
port: 14268
protocol: TCP
targetPort: 14268
- name: jaeger-collector-zipkin
port: 9411
protocol: TCP
targetPort: 9411
selector:
jaeger-infra: collector-pod
type: ClusterIP
- apiVersion: v1
kind: Service
metadata:
name: zipkin
labels:
app: jaeger
jaeger-infra: zipkin-service
spec:
ports:
- name: jaeger-collector-zipkin
port: 9411
protocol: TCP
targetPort: 9411
selector:
jaeger-infra: collector-pod
type: ClusterIP
6. elasticsearch pod的安装：elasticsearch-statefulset.yml
apiVersion: apps/v1beta1
kind: StatefulSet
metadata:
name: elasticsearch
labels:
app: jaeger
jaeger-infra: elasticsearch-statefulset
spec:
serviceName: elasticsearch
replicas: 1
template:
metadata:
labels:
app: jaeger-elasticsearch
jaeger-infra: elasticsearch-replica
spec:
containers:
- name: elasticsearch
image: docker.elastic.co/elasticsearch/elasticsearch:5.6.0
imagePullPolicy: Always
command:
- bin/elasticsearch
args:
- "-Ehttp.host=0.0.0.0"
- "-Etransport.host=127.0.0.1"
volumeMounts:
- name: data
mountPath: /data
readinessProbe:
exec:
command:
- curl
- --fail
- --silent
- --output
- /dev/null
- --user
- elastic:changeme
- localhost:9200
initialDelaySeconds: 5
periodSeconds: 5
timeoutSeconds: 4
volumes:
- name: data
emptyDir: {}
7. elasticsearch service的安装：elasticsearch-service.yml
apiVersion: v1
kind: Service
metadata:
name: elasticsearch
labels:
app: jaeger
jaeger-infra: elasticsearch-service
spec:
clusterIP: None
selector:
app: jaeger-elasticsearch
ports:
- port: 9200
name: elasticsearch
- port: 9300
name: transport- 测试用例的部署：
本文使用hotrod作为jaeger的测试用例：
1. deployment的部署：
apiVersion: extensions/v1beta1
kind: Deployment
metadata:
name: hotrod
spec:
template:
metadata:
labels:
app: hotrod
spec:
containers:
- image: jaegertracing/example-hotrod:latest
name: hotrod
ports:
- containerPort: 8080
- image: registry.jaegertracing/jaeger-agent:latest
name: jaeger-agent
ports:
- containerPort: 5775
protocol: UDP
- containerPort: 6831
protocol: UDP
- containerPort: 6832
protocol: UDP
- containerPort: 5778
protocol: TCP
command:
- "/go/bin/agent-linux"
- "--collector.host-port=jaeger-collector.logging-test:14267"
2. service的部署:
apiVersion: v1
kind: Service
metadata:
labels:
app: hotrod
name: hotrod
spec:
type: NodePort
ports:
- port: 8080
targetPort: 8080
nodePort: 30000
selector:
app: hotrod
-
部署kibana
部署kibana为了很好的与elasticsearch集成，校验数据的存储
1. kibana deployment的部署：
apiVersion: apps/v1
kind: Deployment
metadata:
name: kibana-logging
labels:
name: kibana-logging
kubernetes.io/cluster-service: "true"
addonmanager.kubernetes.io/mode: Reconcile
spec:
replicas: 1
selector:
matchLabels:
name: kibana-logging
template:
metadata:
labels:
name: kibana-logging
annotations:
seccomp.security.alpha.kubernetes.io/pod: 'docker/default'
spec:
containers:
- name: kibana-logging
image: docker.elastic.co/kibana/kibana:5.6.0
resources:
# need more cpu upon initialization, therefore burstable class
limits:
cpu: 1000m
requests:
cpu: 100m
env:
- name: ELASTICSEARCH_URL
value: http://elasticsearch:9200
- name: ELASTICSEARCH_USERNAME
value: elastic
- name: ELASTICSEARCH_PASSWORD
value: changeme
ports:
- containerPort: 5601
name: ui
protocol: TCP
2. service的部署：
apiVersion: v1
kind: Service
metadata:
name: kibana-logging
labels:
name: kibana-logging
kubernetes.io/cluster-service: "true"
kubernetes.io/name: "Kibana"
spec:
type: NodePort
ports:
- port: 5601
protocol: TCP
targetPort: ui
nodePort: 30012
selector:
name: kibana-logging
- 部署之后，kubernetes的结构
访问 http://localhost:80 即可进入jaeger界面
访问 http://localhost:30000 即可进入hotrod界面
访问 http://localhost:30012 即可进入kibana界面, 如果需要登录 输入admin/admin
