google-kubernetes-engine

I am following the instructions as given here I used the command to get a running cluster, in gcloud console I typed: curl -sS https://get.k8s.io | bash as described in the link, after that I ran the command kubectl cluster-info from that I got: kubernetes-dashboard is running at https://35.188.109.36/api/v1/proxy/namespaces/kube- system/services/kubernetes-dashboard but when I go to that url from firefox, the message that comes is: User "system:anonymous" cannot proxy services in the namespace "kube-system".: "No policy matched." Expected behaviour: Should ask for admin name and password to

I'm attempting to create a cluster on Google Kubernetes Engine that runs nginx, RStudio server and two Shiny apps, following and adapting this guide . I have 4 workloads that are all green in the UI, deployed via: kubectl run nginx --image=nginx --port=80 kubectl run rstudio --image gcr.io/gcer-public/persistent-rstudio:latest --port 8787 kubectl run shiny1 --image gcr.io/gcer-public/shiny-googleauthrdemo:latest --port 3838 kubectl run shiny5 --image=flaviobarros/shiny-wordcloud --port=80 They were then all exposed as node ports via: kubectl expose deployment nginx --target-port=80 --type

I have created two node pools. A small one for all the google system jobs and a bigger one for my tasks. The bigger one should reduce its size to 0 after the job is done. The problem is: Even if there are no cron jobs, the node pool do not reduce his size to 0. Creating cluster: gcloud beta container --project "projectXY" clusters create "cluster" --zone "europe-west3-a" --username "admin" --cluster-version "1.9.6-gke.0" --machine-type "n1-standard-1" --image-type "COS" --disk-size "100" --scopes "https://www.googleapis.com/auth/cloud-platform" --num-nodes "1" --network "default" --enable

I have made a Dockerfile for deploying my node.js application into google container engine .It looks like as below FROM node:0.12 COPY google-cloud-sdk /google-cloud-sdk RUN /google-cloud-sdk/bin/gcloud init COPY bpe /bpe CMD cd /bpe;npm start I should use gcloud init inside Dockerfile because my node.js application is using gcloud-node module for creating buckets in GCS . When i am using the above dockerfile and doing docker built it is failing with following errors sudo docker build -t gcr.io/[PROJECT_ID]/test-node:v1 . Sending build context to Docker daemon 489.3 MB Sending build context to

Is it possible to create a Pod in the Google Container Engine where two ports are exposed: port 8080 is listening for incoming content and port 80 distributes this content to clients? The following command to create a Pod is given as example by Google: kubectl run hello-node --image=gcr.io/${PROJECT_ID}/hello-node --port=8080 I can't seem to define a listening port, and when adding a second "--port=" switch only one port is exposed. Is there a way to expose a second port or am I limited to one port per container? caesarxuchao No, you cannot specify multiple ports in kubectl run . But you can

In kubernetes I can use a PersistentVolumeClaim to create some storage, which I can later mount in some container. However if the user in the container is not root, that user will not be able to access that directory because it is owned by root. What is the right way to access such a volume? (I did not find any user/permission options both when creating and mounting that volume.) First, find out the UID number your process is running as. Then you can tell Kubernetes to chown (sort of) the mount point of the volume for your pod by adding .spec.securityContext.fsGroup : spec: ... securityContext