nginx-ingress-controller CrashLoopBackOff (Lab 9)
Hi All,
When I use multi cluster nodes (e.g. 1 master and 1 worker node), I’m getting the following error with the nginx-ingress-controller Pod:
$ kubectl get po -w
NAME READY STATUS
nginx-ingress-controller-p86r8 1/1 Running
nginx-ingress-controller-p86r8 0/1 Error
nginx-ingress-controller-p86r8 0/1 CrashLoopBackOff
nginx-ingress-controller-p86r8 1/1 Running
nginx-ingress-controller-p86r8 0/1 Error
nginx-ingress-controller-p86r8 0/1 CrashLoopBackOff
$ kubectl get po,rc,svc
NAME READY STATUS
po/default-http-backend-29mvr 1/1 Running
po/nginx-ingress-controller-p86r8 0/1 Error
NAME DESIRED CURRENT READY
rc/default-http-backend 1 1 1
rc/nginx-ingress-controller 1 1 1
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S)
svc/default-http-backend ClusterIP 10.106.8.239 <none> 80/TCP
svc/kubernetes ClusterIP 10.96.0.1 <none> 443/TCP
I’m using the backend.yaml manifest provided in Lab9.
(I have to mention that the Pod-to-Pod network has been configured with Weave Net add-on and all works fine. So, I don’t think the issue is related to Weave Net).
However, when using minikube all works fine.
Does anyone had the same issue? Any solution?
Thanks,
Angelo
Comments
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$ kubectl get nodes -o wide
NAME STATUS ROLES AGE VERSION EXTERNAL-IP OS-IMAGE KERNEL-VERSION CONTAINER-RUNTIME
ubuntu-master.example.com Ready master 4d v1.8.4 <none> Ubuntu 16.04.2 LTS 4.4.0-62-generic docker://1.13.1
ubuntu-node1.example.com Ready <none> 4d v1.8.4 <none> Ubuntu 16.04.2 LTS 4.4.0-62-generic docker://1.13.10 -
Have the same issue on minikube and server version 1.9.0 and 1.8.0.
If you delete and create a fresh platform and then follow the instructions in lab9, you see this exact issue.
0 -
Please make sure you have access to the latest lab exercises, which went live Thursday. All older labs were replaced with new and improved ones. Clear your cache to make sure you have access to these new labs.0
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The manifests that I was creating caused the creation of an ingress controller and default backend. In 1.9.0, it appears that there are workloads for that out of the box in kube-system namespace.
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Hello,
Just wondering if you have had the issue with v1.9.1, the version the updated labs were written for, and using flannel or Calico. Just trying to find out if this remains an issue and narrow down differences to start the troubleshooting process.
Regards,
0
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