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GKE gateway #142
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I think I have another idea |
当然可以。以下是一个使用HTTPS的HTTPRoute配置示例,其中后端服务名称为 apiVersion: gateway.networking.k8s.io/v1beta1
kind: HTTPRoute
metadata:
name: http-route-example
spec:
parentRefs:
- name: your-gateway
hostnames:
- "example.com"
rules:
- matches:
- path:
type: PathPrefix
value: "/"
backendRefs:
- name: svc-test
port: 443 在这个例子中, 请确保您的Gateway已经配置了相应的监听器来处理HTTPS请求,并且您的 希望这个例子能帮助您配置您的HTTPRoute。如果您有任何疑问或需要进一步的帮助,请随时告诉我!¹ Source: Conversation with Bing, 5/15/2024 好的,根据您之前提供的HTTPRoute配置示例,这里有一个对应的Gateway配置文件示例,用于处理HTTPS请求: apiVersion: networking.x-k8s.io/v1alpha1
kind: Gateway
metadata:
name: example-gateway
spec:
gatewayClassName: example-gateway-class
listeners:
- name: https
protocol: HTTPS
port: 443
tls:
mode: Terminate
certificateRef:
kind: Secret
name: example-secret
routes:
kind: HTTPRoute
selector:
matchLabels:
gateway: example-gateway 在这个配置中:
请确保您已经创建了一个名为 这只是一个基本的示例,您可能需要根据您的具体需求调整配置。如果您需要更多帮助,请随时告诉我!³ Source: Conversation with Bing, 5/15/2024 抱歉造成了混淆。确实,我在之前的Service配置中没有包含 apiVersion: v1
kind: Service
metadata:
name: svc-test
spec:
type: LoadBalancer
selector:
app: your-app-name # 确保这里的标签与您的Deployment中的Pod标签匹配
ports:
- protocol: TCP
port: 443 # Service对外暴露的端口
targetPort: 8443 # Pod内部的端口 在这个配置中, 请确保您的云提供商支持负载均衡器,并且您已经按照提供商的指南来配置了所需的资源和权限。更多关于Kubernetes Service的负载均衡器类型配置,您可以参考官方文档¹。 如果您有任何疑问或需要进一步的帮助,请随时告诉我! Source: Conversation with Bing, 5/15/2024 在Kubernetes中,Gateway API允许您定义如何将流量路由到您的服务。根据您提供的两个页面,Gateway API不会强制要求特定的负载均衡器类型,但通常会根据您的部署环境和需求来选择。例如,如果您需要从集群外部访问服务,通常会使用 在Google Kubernetes Engine (GKE) 中部署Gateway时,通常会使用 如果您的服务需要从集群外部访问,并且您希望使用Gateway API,那么您可能需要在Service配置中指定 请根据您的具体需求和部署环境来选择合适的负载均衡器类型。如果您需要更多帮助或有其他问题,请随时告诉我! Source: Conversation with Bing, 5/15/2024 |
当然可以。以下是一个使用Mermaid语法描述的访问流程图,它展示了客户端通过Gateway和HTTPRoute访问后端服务 graph LR
client[客户端] -- HTTPS请求 --> |443端口| gateway[Gateway]
gateway -- 路由请求 --> httproute[HTTPRoute]
httproute -- 转发请求 --> svc[Service: svc-test]
svc -- 代理请求 --> pod[Pod: 8443端口]
在这个流程中:
请确保您的Gateway和HTTPRoute配置与您的Service和Deployment设置相匹配,以确保流量能够正确地流经整个路径。 如果您需要进一步的帮助或有任何问题,请随时告诉我! |
如果您在部署了 Gateway 和 HTTPRoute 后遇到 503 错误,并且发现后台的 backend service 状态不正常,这通常意味着请求没有成功地到达预期的后端服务。以下是一些可能导致此问题的原因,以及相应的排查步骤:
排查步骤:
根据您提供的链接,您可能已经了解了 Gateway API 和如何在 Google Kubernetes Engine (GKE) 上部署 Gateways 的基本概念和步骤。如果问题依然存在,您可能需要根据上述排查步骤进行更深入的调查,或者查看 GKE 的官方文档和社区支持以获取更多帮助。 |
GKE Gateway does not support Wildcards, regular expressions, and dynamic URLs. kubectl get gatewayclass |
参考下面两个文章,我部署了一个gateway https 的
Gateway and httproute
而且我后面的 svc 和deployment 状态也是正常的?
但是我的测试请求返回结果是503
我登录后台查看backend service 状态不正常
那么可能的原因有哪些?我应该如何来排查这些问题?
https://cloud.google.com/kubernetes-engine/docs/concepts/gateway-api
https://cloud.google.com/kubernetes-engine/docs/how-to/deploying-gateways
You've deployed a Gateway and an HTTPRoute, and the backend SVC and Deployment are running normally, but you're getting a 503 error when testing the request. And when you log in to the backend, you see that the backend Service is not healthy. 😞
Here are some possible reasons for this issue:
spec.backendRefs
field in the HTTPRoute is correctly referencing the backend Service.spec.ports
field to ensure it's exposing the correct port.To troubleshoot this issue, you can try the following steps:
kubectl logs
to check the logs of the Gateway and HTTPRoute to see if there are any error messages indicating the cause of the 503 error.kubectl describe svc <backend-service-name>
to check the status of the backend Service and ensure it's running correctly.kubectl logs
to check the logs of the backend Pod to see if there are any error messages indicating the cause of the issue.kubectl debug
orcurl
can help you debug the issue by testing the request flow from the Gateway to the backend Service.By following these steps, you should be able to identify and resolve the issue causing the 503 error. 😊
By default, Kubernetes assumes that the backend Service is listening on port 80 for HTTP traffic, and therefore, it uses port 80 for health checks. This is why you're seeing health checks failing with a 404 error on port 80, even though your backend Service is not configured to listen on port 80.
To fix this, you need to configure the health checks to use the correct port that your backend Service is listening on. You can do this by specifying the
healthCheck
field in theService
manifest.For example, if your backend Service is listening on port 8080, you can configure the health checks as follows:
In this example, the
healthCheck
field specifies that the health checks should be performed using an HTTP GET request to the/healthz
path on port 8080.By configuring the health checks to use the correct port, you should be able to resolve the issue with the health checks failing on port 80.
Additionally, you can also specify the
healthCheck
field in theDeployment
manifest, which will apply to all Pods created by the Deployment.By configuring the health checks correctly, you should be able to resolve the issue with the Gateway not being able to route traffic to the backend Service due to failed health checks.
You are correct that the
healthCheck
field is not applicable to aService
resource, but rather to aPod
orDeployment
resource.In the context of a Gateway and HTTPRoute, the health checks are performed on the backend
Service
resource, not on the individualPods
orDeployments
.When you create a
Service
resource, Kubernetes automatically configures health checks for the Service using thereadinessProbe
andlivenessProbe
mechanisms. These probes are used to determine the health of the Pods backing the Service.By default, Kubernetes assumes that the Service is listening on port 80 for HTTP traffic, and therefore, it uses port 80 for health checks. If your Service is not listening on port 80, you can specify the correct port using the
port
field in theService
manifest.For example:
In this example, the Service is configured to listen on port 8080, and health checks will be performed on this port.
If you are still experiencing issues with health checks, I would recommend checking the Service logs and the Pod logs to determine why the health checks are failing.
Please let me know if you have any further questions or concerns!
根据您提供的信息和参考文档,可能的原因和排查步骤如下:
可能的原因:
后端服务(svc和deployment)虽然处于运行状态,但可能由于某些原因无法正常响应请求,例如资源不足、配置错误等。
Gateway和HttpRoute配置可能存在错误,导致流量无法正确路由到后端服务。
防火墙、网络或者集群网络策略设置可能阻止了流量访问。
后端服务的就绪(Readiness)探针或存活(Liveness)探针配置可能有问题,导致服务被视为不可用。
排查步骤:
检查后端服务的日志,查看是否有错误信息或异常。
检查Gateway和HttpRoute的配置,确保它们正确指向后端服务。查看日志中是否有相关错误信息。
检查集群网络策略、防火墙规则等,确保入口流量能够到达Gateway。
检查后端服务的就绪和存活探针配置是否正确。
尝试从集群内的其他Pod访问后端服务,排除网络问题。
查看Gateway的指标和日志,了解请求是否到达Gateway,以及Gateway是否将请求转发给后端服务。
如果问题无法解决,可以收集相关日志和配置,并向Google Cloud支持团队寻求帮助。
总的来说,需要逐步排查Gateway、HttpRoute、后端服务、网络等各个环节,确定问题所在,并根据具体情况进行调整和修复。
好的,根据您提供的额外信息"返回信息里面有一个Google头",说明请求确实已经到达了Gateway。并且"503 no upstream"的错误通常意味着Gateway无法将请求转发到上游后端服务。
在这种情况下,我们可以重点排查以下几个方面:
后端服务的可用性
Gateway和HttpRoute配置
Gateway与后端服务的网络连通性
Gateway指标和日志
通过排查上述几个方面,应该可以找到503错误的具体原因,解决Gateway到达后端服务的连通性问题。如果无法自行解决,可以将相关日志和配置提供给GCP支持团队协助分析。
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