I am trying to persist the data of my pods on GKE (like a docker volume). I came across two methods and I don’t know which is the go to method. using jcsFuse. using persistent volume and persistent volume claims. Which is the method thata will allow me to mount my pods to google cloud ..
I’m trying to set up a task in Airflow that creates a pod in Google Kubernetes from a Docker image in Registry. The task fails and returns: Pod Launching failed: Pod took too long to start Which does not say much. In a similar question, someone suggested adding a tag to the image version when ..
Am bit confused with the terms Interoperability vs portability in container world. Containers are designed to be portable to run the application on any environment but then does it also solve the problem of interoperability? I guess, I do not understand what does interoperable really means but does the OCI specs solve the problem of ..
I have a Kubernetes cluster. Inside my cluster is a Django application which needs to connect to my Kubernetes cluster on GKE. Upon my Django start up (inside my Dockerfile), I authenticate with Google Cloud by using: gcloud auth activate-service-account $GKE_SERVICE_ACCOUNT_NAME –key-file=$GOOGLE_APPLICATION_CREDENTIALS gcloud config set project $GKE_PROJECT_NAME gcloud container clusters get-credentials $GKE_CLUSTER_NAME –zone $GKE_ZONE I ..
I am trying out to have a volume mount on Kubernetes. Currently I have a Docker image which I run like: docker run –mount type=bind,source="$(pwd)"<host_dir>,target=<docker_dir> container To have this run on Google Kubernetes cluster, I have: Create a Google Compute Disk Created a persistent volume which refers to the disk: kind: PersistentVolume … namespace: default ..
I have deployed a pool of self hosted GitHub runners as pods to my kubernetes cluster. Some of our pipelines contain jobs which run container actions. Is it possible to run those jobs in this type of runner? Docker in Docker is configured in the deployment, and I can build docker images and push them ..
I’m working on a machine learning application in python that will be contained in a docker on a kubernetes cluster. In this implementation I’ll be using Google Cloud Platform. A user will access the endpoint with a post command sending in the data they want to test against the model. The data could come in ..
I build a go program which displays all the constraint violations running in the cluster. I build it as a image and run it as pod. But constraints which running in my cluster is violating my pod. Iam not able to create a pod. How can create a pod that displays the constraint violation without ..
I need to create additional cluster in minikube. I searched for a while I haven’t got any resource on this.How to create a cluster in minikube? Source: Docker..
I build a image for a golang app which should all the constraint violations in the cluster. When I tried to run this Iam getting this error 2021/07/30 03:17:27 unable to load in-cluster configuration, KUBERNETES_SERVICE_HOST and KUBERNETES_SERVICE_PORT must be defined 2021/07/30 03:17:27 err: unable to load in-cluster configuration, KUBERNETES_SERVICE_HOST and KUBERNETES_SERVICE_PORT must be defined 2021/07/30 ..