k8s相关部署文件

1.控制器

1.生成后改改

kubectl create deployment coreqi-api --image=docker.io/fanqi/coreqi_api:latest --dry-run=client -o yaml > /home/coreqi_dm.yaml

2.手撸

apiVersion: apps/v1
kind: Deployment
metadata:
  creationTimestamp: null
  generation: 1
  labels:
    app: coreqi-api
  name: coreqi-api
  namespace: default
  resourceVersion: "11682"
  uid: cdafc268-9869-4616-a22a-913ca6d1ea57
spec:
  progressDeadlineSeconds: 600
  replicas: 1
  revisionHistoryLimit: 10
  selector:
    matchLabels:
      app: coreqi-api
  strategy:
    rollingUpdate:
      maxSurge: 25%
      maxUnavailable: 25%
    type: RollingUpdate
  template:
    metadata:
      creationTimestamp: null
      labels:
        app: coreqi-api
    spec:
      containers:
      - image: docker.io/fanqi/coreqi_api:latest
        imagePullPolicy: IfNotPresent
        name: coreqi-api
        resources: {}
        terminationMessagePath: /dev/termination-log
        terminationMessagePolicy: File
      dnsPolicy: ClusterFirst
      restartPolicy: Always
      schedulerName: default-scheduler
      securityContext: {}
      terminationGracePeriodSeconds: 30
status: {}

3.创建并查看结果

kubectl apply -f /home/coreqi_dm.yaml
kubectl get deployment,pods

2.Service

1.生成后改改

kubectl expose deploy coreqi-api --port=6000 --target-port=6001 --type=NodePort -o yaml --dry-run=client > /home/coreqi_svc.yaml

2.手撸

apiVersion: v1
kind: Service
metadata:
  creationTimestamp: null
  labels:
    app: coreqi-api
  name: coreqi-api
spec:
  ports:
  - port: 6000
    protocol: TCP
    targetPort: 6001
  selector:
    app: coreqi-api
  type: NodePort
status:
  loadBalancer: {}

3.创建并查看结果

kubectl apply -f /home/coreqi_svc.yaml
kubectl get svc

3.Ingress

1.生成后改改