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基于Docker和Kubernetes的企业级DevOps实践训练营 PDF 下载
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主要内容：
部署分析
1. es生产环境是部署es集群，通常会使用statefulset进行部署，此例由于演示环境资源问题，部署为
单点
2. 数据存储挂载主机路径
3. es默认使用elasticsearch用户启动进程，es的数据目录是通过宿主机的路径挂载，因此目录权限
被主机的目录权限覆盖，因此可以利用init container容器在es进程启动之前把目录的权限修改
掉，注意init container要用特权模式启动。
部署并验证
efk/elasticsearch.yaml
apiVersion: apps/v1
kind: StatefulSet
metadata:
labels:
addonmanager.kubernetes.io/mode: Reconcile
k8s-app: elasticsearch-logging
version: v7.4.2
name: elasticsearch-logging
namespace: logging
spec:
replicas: 1
revisionHistoryLimit: 10
selector:
matchLabels:
k8s-app: elasticsearch-logging
version: v7.4.2
serviceName: elasticsearch-logging
template:
metadata:
labels:
k8s-app: elasticsearch-logging
version: v7.4.2
spec:
nodeSelector:
log: "true" ## 指定部署在哪个节点。需根据环境来修改
containers:
- env:
- name: NAMESPACE
valueFrom:
fieldRef:
apiVersion: v1
fieldPath: metadata.namespace
- name: cluster.initial_master_nodes
value: elasticsearch-logging-0
- name: ES_JAVA_OPTS
value: "-Xms512m -Xmx512m"
image: 172.21.32.13:5000/elasticsearch/elasticsearch:7.4.2
name: elasticsearch-logging
ports:
- containerPort: 9200
name: db
protocol: TCP
- containerPort: 9300
name: transport
protocol: TCP
volumeMounts:
- mountPath: /usr/share/elasticsearch/data
name: elasticsearch-logging
dnsConfig:
options:
- name: single-request-reopen
initContainers:
- command:
- /sbin/sysctl
- -w
- vm.max_map_count=262144
image: alpine:3.6
imagePullPolicy: IfNotPresent
name: elasticsearch-logging-init
resources: {}
securityContext:
privileged: true
- name: fix-permissions
image: alpine:3.6
command: ["sh", "-c", "chown -R 1000:1000
/usr/share/elasticsearch/data"]
securityContext:
privileged: true
volumeMounts:
- name: elasticsearch-logging
mountPath: /usr/share/elasticsearch/data
volumes:
- name: elasticsearch-logging
hostPath:
path: /esdata
---
apiVersion: v1
kind: Service
metadata:
labels:
k8s-app: elasticsearch-logging
name: elasticsearch
namespace: logging
spec:
ports:
- port: 9200
protocol: TCP
targetPort: db
selector:
k8s-app: elasticsearch-logging
type: ClusterIP
部署kibana
部署分析
2. kibana需要暴漏web页面给前端使用，因此使用ingress配置域名来实现对kibana的访问
3. kibana为无状态应用，直接使用Deployment来启动
4. kibana需要访问es，直接利用k8s服务发现访问此地址即可，http://elasticsearch:9200
部署并验证
efk/kibana.yaml
$ kubectl create namespace logging
## 给slave1节点打上label，将es服务调度到slave1节点
$ kubectl label node k8s-slave1 log=true
## 部署服务，可以先去部署es的节点把镜像下载到本地
$ kubectl create -f elasticsearch.yaml
statefulset.apps/elasticsearch-logging created
service/elasticsearch created
## 等待片刻，查看一下es的pod部署到了k8s-slave1节点，状态变为running
$ kubectl -n logging get po -o wide
NAME READY STATUS RESTARTS AGE IP NODE
elasticsearch-logging-0 1/1 Running 0 69m 10.244.1.104 k8s-
slave1
# 然后通过curl命令访问一下服务，验证es是否部署成功
$ kubectl -n logging get svc
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
elasticsearch ClusterIP 10.109.174.58 <none> 9200/TCP 71m
$ curl 10.109.174.58:9200
{
"name" : "elasticsearch-logging-0",
"cluster_name" : "docker-cluster",
"cluster_uuid" : "uic8xOyNSlGwvoY9DIBT1g",
"version" : {
"number" : "7.4.2",
"build_flavor" : "default",
"build_type" : "docker",
"build_hash" : "2f90bbf7b93631e52bafb59b3b049cb44ec25e96",
"build_date" : "2019-10-28T20:40:44.881551Z",
"build_snapshot" : false,
"lucene_version" : "8.2.0",
"minimum_wire_compatibility_version" : "6.8.0",
"minimum_index_compatibility_version" : "6.0.0-beta1"
},
"tagline" : "You Know, for Search"
}
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