在入口处公开 Google Endpoint API

如何解决在入口处公开 Google Endpoint API

我在 google Endpoint 上有一个 API,后端部署在 GKE 上,我想通过入口公开它,以便我可以在其上使用 IAP。
我正在使用 ESP2。
我首先将我的服务部署为 LoadBalancer 并且它正在运行。

Thing is my ingress 说: “所有后端服务都处于不健康状态”
我知道健康检查没有通过,但我不明白为什么...

服务和相应的 pod 没有显示错误,但是在我的 pod 事件中我可以看到: “就绪探测失败:获取 http://10.32.1.27:8000/swagger:拨号 tcp 10.32.1.27:8000:连接:连接被拒绝”

我的 pod 和服务配置如下所示:

apiVersion: v1
kind: Service
metadata:
 name: devfleet-django-endpoint-service
 namespace: my-ns
spec:
  # NodePort is mandatory for Ingress to perform load balancer
  type: NodePort
  ports:
  - port: 443
    protocol: TCP
    targetPort: 9000
    name: https
  selector:
    app: devfleet-django-endpoint
---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: devfleet-django-endpoint
  namespace: my-ns
spec:
  replicas: 2
  selector:
    matchLabels:
      app: devfleet-django-endpoint
   template:
    metadata:
      labels:
        app: devfleet-django-endpoint
    spec:
      containers:
      - name: esp
        image: gcr.io/endpoints-release/endpoints-runtime:2
        args: [
          "--listener_port=9000","--backend","127.0.0.1:8080","--service=my-custom-domain.io","--rollout_strategy=managed","-z","healthz","--ssl_server_cert_path","/etc/esp/ssl"
        ]
        volumeMounts:
        - mountPath: /etc/esp/ssl
          name: esp-ssl
          readOnly: true
        - mountPath: /etc/nginx/custom
          name: nginx-config
          readOnly: true        
        ports:
          - containerPort: 9000
      - name: devfleet-django-endpoint
        image: my-img
        ports:
        - containerPort: 8000
        imagePullPolicy: Always
        env:
         some_env_data
        readinessProbe:
          httpGet:
            path: /swagger
            port: 8000
          initialDelaySeconds: 10
          periodSeconds: 10
          timeoutSeconds: 10
          failureThreshold: 3
        livenessProbe:
          httpGet:
           path: /swagger
            port: 8000
          initialDelaySeconds: 15
          periodSeconds: 60
          timeoutSeconds: 10
          failureThreshold: 3
        volumeMounts:
          - name: devfleet-storage
            mountPath: /secrets/cloudstorage
            readOnly: true
        resources:
          requests:
            cpu: 30m
            memory: 90Mi
          limits:
            cpu: 200m
            memory: 400Mi            
      - image: b.gcr.io/cloudsql-docker/gce-proxy:1.13
        name: cloudsql-proxy
        command: ["/cloud_sql_proxy","--dir=/app","-instances=production-213911:europe-west1:dev-postgresql=tcp:5432","-credential_file=/secrets/cloudsql/credentials.json"]
        volumeMounts:
           - name: prodsql-oauth-credentials
            mountPath: /secrets/cloudsql
            readOnly: true
         resources:
          requests:
            cpu: 10m
            memory: 10Mi
          limits:
            cpu: 20m
            memory: 50Mi          
      volumes:
        - name: prodsql-oauth-credentials
          secret:
            secretName: secret-name
        - name: devfleet-storage
           secret:
            secretName: secret-name
        - name: app
           emptyDir:
        - name: esp-ssl
          secret:
            secretName: secret-name
        - name: nginx-config
          configMap:
            name: nginx-config
          
      nodeSelector:
        cloud.google.com/gke-nodepool: default-pool

我的入口配置是:

apiVersion: extensions/v1beta1
kind: Ingress
metadata:
  name: devapi
  namespace: my-ns
  annotations:
    kubernetes.io/ingress.global-static-ip-name: ingress-devapi
    ingress.gcp.kubernetes.io/pre-shared-cert: "my-cert"
    kubernetes.io/ingress.class: gce
    ingress.kubernetes.io/enable-cors: "true"
    kubernetes.io/ingress.allow-http: "false"
spec:
  backend:
    serviceName: devfleet-django-endpoint-service
    servicePort: 443

知道我做错了什么吗?
谢谢

解决方法

因此,为了将您的 API 部署暴露在 esp 容器和您的应用容器在同一个 Pod 中的入口上的 google 端点上,您需要创建具有特定运行状况检查的后端配置。

这是我所做的:

  1. 添加了后端配置:
apiVersion: cloud.google.com/v1  
kind: BackendConfig  
metadata:  
   name: esp-config  
  namespace: my-namespace  
spec:  
  healthCheck:  
    checkIntervalSec: 80  
    port: the-node-port-on-which-your-service-is-exposed  
    type: HTTPS  
    requestPath: /healthz
apiVersion: cloud.google.com/v1
kind: BackendConfig
metadata:
  name: devapi-config
  namespace: my-namespace
spec:
  healthCheck:
    checkIntervalSec: 80
    port: the-node-port-on-which-your-service-is-exposed
    requestPath: /
  1. 更新我的服务:
apiVersion: v1
kind: Service
metadata:
  name: name
  namespace: my-namespace
  annotations:
    cloud.google.com/backend-config: '{"ports": {
    "443":"esp-config","8035":"devapi-config"
    }}'

spec:
  ports:
  - port: Exposed port
    targetPort: target-port-you-set-in-deployment
    protocol: TCP
    name: name
  - port: Exposed port
    targetPort: target-port-you-set-in-deployment
    protocol: TCP
    name: another-name
  selector:
    app: name
  type: NodePort
  1. 更新我的入口
apiVersion: extensions/v1beta1
kind: Ingress
metadata:
  name: name
  namespace: my-namespace
  annotations:
    kubernetes.io/ingress.global-static-ip-name: static-ip-name
    ingress.gcp.kubernetes.io/pre-shared-cert: my-cert
    kubernetes.io/ingress.class: gce
    ingress.kubernetes.io/enable-cors: "true"

spec:
  backend:
    serviceName: my-service-name
    servicePort: The-exposed-port-of-my-application (not esp)

版权声明:本文内容由互联网用户自发贡献,该文观点与技术仅代表作者本人。本站仅提供信息存储空间服务,不拥有所有权,不承担相关法律责任。如发现本站有涉嫌侵权/违法违规的内容, 请发送邮件至 dio@foxmail.com 举报,一经查实,本站将立刻删除。

相关推荐


使用本地python环境可以成功执行 import pandas as pd import matplotlib.pyplot as plt # 设置字体 plt.rcParams['font.sans-serif'] = ['SimHei'] # 能正确显示负号 p
错误1:Request method ‘DELETE‘ not supported 错误还原:controller层有一个接口,访问该接口时报错:Request method ‘DELETE‘ not supported 错误原因:没有接收到前端传入的参数,修改为如下 参考 错误2:cannot r
错误1:启动docker镜像时报错:Error response from daemon: driver failed programming external connectivity on endpoint quirky_allen 解决方法:重启docker -> systemctl r
错误1:private field ‘xxx‘ is never assigned 按Altʾnter快捷键,选择第2项 参考:https://blog.csdn.net/shi_hong_fei_hei/article/details/88814070 错误2:启动时报错,不能找到主启动类 #
报错如下,通过源不能下载,最后警告pip需升级版本 Requirement already satisfied: pip in c:\users\ychen\appdata\local\programs\python\python310\lib\site-packages (22.0.4) Coll
错误1:maven打包报错 错误还原:使用maven打包项目时报错如下 [ERROR] Failed to execute goal org.apache.maven.plugins:maven-resources-plugin:3.2.0:resources (default-resources)
错误1:服务调用时报错 服务消费者模块assess通过openFeign调用服务提供者模块hires 如下为服务提供者模块hires的控制层接口 @RestController @RequestMapping("/hires") public class FeignControl
错误1:运行项目后报如下错误 解决方案 报错2:Failed to execute goal org.apache.maven.plugins:maven-compiler-plugin:3.8.1:compile (default-compile) on project sb 解决方案:在pom.
参考 错误原因 过滤器或拦截器在生效时,redisTemplate还没有注入 解决方案:在注入容器时就生效 @Component //项目运行时就注入Spring容器 public class RedisBean { @Resource private RedisTemplate<String
使用vite构建项目报错 C:\Users\ychen\work>npm init @vitejs/app @vitejs/create-app is deprecated, use npm init vite instead C:\Users\ychen\AppData\Local\npm-
参考1 参考2 解决方案 # 点击安装源 协议选择 http:// 路径填写 mirrors.aliyun.com/centos/8.3.2011/BaseOS/x86_64/os URL类型 软件库URL 其他路径 # 版本 7 mirrors.aliyun.com/centos/7/os/x86
报错1 [root@slave1 data_mocker]# kafka-console-consumer.sh --bootstrap-server slave1:9092 --topic topic_db [2023-12-19 18:31:12,770] WARN [Consumer clie
错误1 # 重写数据 hive (edu)> insert overwrite table dwd_trade_cart_add_inc > select data.id, > data.user_id, > data.course_id, > date_format(
错误1 hive (edu)> insert into huanhuan values(1,'haoge'); Query ID = root_20240110071417_fe1517ad-3607-41f4-bdcf-d00b98ac443e Total jobs = 1
报错1:执行到如下就不执行了,没有显示Successfully registered new MBean. [root@slave1 bin]# /usr/local/software/flume-1.9.0/bin/flume-ng agent -n a1 -c /usr/local/softwa
虚拟及没有启动任何服务器查看jps会显示jps,如果没有显示任何东西 [root@slave2 ~]# jps 9647 Jps 解决方案 # 进入/tmp查看 [root@slave1 dfs]# cd /tmp [root@slave1 tmp]# ll 总用量 48 drwxr-xr-x. 2
报错1 hive> show databases; OK Failed with exception java.io.IOException:java.lang.RuntimeException: Error in configuring object Time taken: 0.474 se
报错1 [root@localhost ~]# vim -bash: vim: 未找到命令 安装vim yum -y install vim* # 查看是否安装成功 [root@hadoop01 hadoop]# rpm -qa |grep vim vim-X11-7.4.629-8.el7_9.x
修改hadoop配置 vi /usr/local/software/hadoop-2.9.2/etc/hadoop/yarn-site.xml # 添加如下 <configuration> <property> <name>yarn.nodemanager.res