Do you know if it is possible to mount a local folder to a Kubernetes running container.
Like docker run -it -v .:/dev some-image bash I am doing this on my local machine and then remote debug into the container from VS Code.
Update: This might be a solution: telepresence
Link: https://kubernetes.io/docs/tasks/debug-application-cluster/local-debugging/
Do you know it it is possible to mount a local computer to Kubernetes. This container should have access to a Cassandra IP address.
Do you know if it is possible?
Kubernetes Volume
Using hostPath would be a solution: https://kubernetes.io/docs/concepts/storage/volumes/#hostpath
However, it will only work if your cluster runs on the same machine as your mounted folder.
Another but probably slightly over-powered method would be to use a distributed or parallel filesystem and mount it into your container as well as to mount it on your local host machine. An example would be CephFS which allows multi-read-write mounts. You could start a ceph cluster with rook: https://github.com/rook/rook
Kubernetes Native Dev Tools with File Sync Functionality
A solution would be to use a dev tool that allows you to sync the contents of the local folder to the folder inside a kubernetes pod. There, for example, is ksync: https://github.com/vapor-ware/ksync
I have tested ksync and many kubernetes native dev tools (e.g. telepresence, skaffold, draft) but I found them very hard to configure and time-consuming to use. That's why I created an open source project called DevSpace together with a colleague: https://github.com/loft-sh/devspace
It allows you to configure a real-time two-way sync between local folders and folders within containers running inside k8s pods. It is the only tool that is able to let you use hot reloading tools such as nodemon for nodejs. It works with volumes as well as with ephemeral / non-persistent folders and lets you directly enter the containers similar to kubectl exec and much more. It works with minikube and any other self-hosted or cloud-based kubernetes clusters.
Let me know if that helps you and feel free to open an issue if you are missing something you need for your optimal dev workflow with Kubernetes. We will be happy to work on it.
As long as we talk about doing stuff like docker -v a hostPath volume type should do the trick. But that means that you need to have the content you want to use stored on the Node that the Pod will run upon. Meaning that in case of GKE it would mean the code needs to exist on google compute node, not on your workstation. If you have local k8s cluster provisioned (minikube, kubeadm...) for local dev, that could be set to work as well.
Related
In my scenario, our package from gitlab is already implemented pipeline to deploy kubernetes pod on remote host server. If I want to edit/open folder on kubernetes pod of the container using vscode, is it doable for vscode?
Official Visual Studio Code documentation shows how to attach to a running container, also inside Kubernetes cluster.
However, using Persisent Volumes may be a better approach.
Files modified in a "local" directory are simultaneously modified in attached volume (this is a bit more complicated but lets go with that for the sake of example), and they persist between pod restarts.
I am using Docker desktop to run a application in kubernetes platform where i need location to store files how can i use my local directory(c:\app-data) to be pointed to application running in kubernetes.
I had a similar problem. Docker contains are usually meant to be throwaway/gateway containers normally, so people don't usually use them for storing files.
That being said, you have two options:
Add path and files to docker container, which will cause your docker container to be massive in size (NOT RECOMMENDED). Docker build will require substantial time and memory, as all the files will be copied. Here's an example of creating a local ubuntu container with docker. https://thenewstack.io/docker-basics-how-to-share-data-between-a-docker-container-and-host/
Host your files through another server/api, and fetch those files using simple requests in your app. I used this solution. The only caveat is you need
to be able to host your files somehow. This is easy enough, but may require extra payment. https://www.techradar.com/best/file-hosting-and-sharing-services
You can't really do this. The right approach depends on what the data you're trying to store is.
If you're just trying to store data somewhere – perhaps it's the backing data for a MySQL StatefulSet – you can create a PersistentVolumeClaim like normal. Minikube includes a minimal volume provisioner so you should automatically get a PersistentVolume created; you don't need to do any special setup for this. But, the PersistentVolume will live within the minikube container/VM; if you completely delete the minikube setup, it could delete that data, and you won't be able to directly access the data from the host.
If you have a data set on the host that your container needs to access, there are a couple of ways to do it. Keep in mind that, in a "real" Kubernetes cluster, you won't be able to access your local filesystem at all. Creating a PersistentVolume as above and then running a pod to copy the data into it could be one approach; as #ParmandeepChaddha suggests in their answer, baking the data into the image is another reasonable approach (this can be very reasonable if the data is only a couple of megabytes).
If the data is the input or output data to your process, you can also consider restructuring your application so that it transfers that data over a protocol like HTTP. Set up a NodePort Service in front of your application, and use a tool like curl to HTTP POST the data into the service.
Finally, you could be considering a setup where all of the important data is local: you have some batch files on the local system, the job's purpose is to convert some local files to other local files, and it's just that the program is in minikube. (Or, similarly, you're trying to develop your application and the source files are on your local system.) In this case Kubernetes, as a distributed, clustered container system, isn't the right tool. Running the application directly on your system is the best approach; you can simulate this with a docker run -v bind mount, but this is inconvenient and can lead to permission and environment problems.
(In theory you can use a hostPath volume too, and minikube has some support to mount a host directory into the VM. In practice, the setup required to do this is as complex as the rest of your Kubernetes setup combined, and it won't be portable to any other Kubernetes installation. I wouldn't attempt this.)
You can mount your local directory to your kubernetes Pod using hostPath. Your path c:\app-data on your Windows host should be represented as either /C/app-data or /host_mnt/c/app-data, depending on your Docker Desktop version as suggested in this comment.
You may also want to take a look at this answer.
We are Containerizing dotnet application on GKE cluster(Windows node-pool). We have a requirement, where multiple pods can access same shared space(persistent volume). Also it should support "ReadWriteMany" AccessMode. We have explored below option:
GCE Persistent disk accessed by Persistent volume.(It doesn't support ReadWriteMany. Only one pod can access the disk).
Network File Share(NFS). Currently not supported for windows node pools.
Filestore fits the solutions but expensive and managed by google.
We are looking other options to fit our requirement. Please help.
You are right by saying that NFS isn't yet supported on Windows, at least, not for the built-in client v4. So as long as there is no support for NFS v4, Kubernetes team could not start up this work in k8s. source
With this constraint, the only solution I can see remains the Filestore.
I've been trying to solve the same problem - accessing shared filesystem from 2 Windows pods (ASP.NET application on IIS + console application). I wasn't able to use the Filestore because it requires an NFSClient (Install-WindowsFeature NFS-Client) and I couldn't install it into the containers (during container build or runtime) since it requires a computer restart - maybe i'm missing sth here.
The options I've found:
If you need to create a simple temporary demo application that can run on single VM you can run both pods on a single instance, create a Persistent Disk, attach it to the instance with gcloud compute instances attach-disk, RDP into the instance, mount the disk and provide the disk to the pods as a hostPath.
That's the solution I'm using now.
Create an SMB share (on a separate VM or using a Docker container https://hub.docker.com/r/dperson/samba/ and access it from the pods using New-SmbMapping -LocalPath $shareletter -RemotePath $dhcpshare -Username $shareuser -Password $sharepasswd -Persistent $true. This solution worked for my console application but the web application couldn't access the files (even though I've set the application pool on IIS to run as Local System). The SMB could also be mounted from the instance using the New-SmbGlobalMapping - the flexvolume does that https://github.com/microsoft/K8s-Storage-Plugins/tree/master/flexvolume/windows. I haven't explored that option and I think it would have the same problem (IIS not seeing the files).
I think the best (most secure and reliable) solution would be to setup an Active Directory Domain Controller and SMB share on separate VM and provide access to it to the containers using gMSA: https://learn.microsoft.com/en-us/virtualization/windowscontainers/manage-containers/manage-serviceaccounts
https://kubernetes.io/docs/tasks/configure-pod-container/configure-gmsa/
That doesn't seem easy though.
I am not sure if this is possible, but if it is and someone have the experience to do so, could we not create a docker image for windows that represent an node?
I imaging that we will have a folder with configuration files, that can be mounted with docker -v
then if one needed a 5 node cluster, i would just run
docker run -v c:/dev/config:c:/config microsoft/servicefabric create-node --someOptions
for each node we wanted.
Is there any barriers for doign this? have anyone create the docker images for doign so? This would really simplify setting up a cluster on premise.
Using the 6.1 release you can run a cluster in a container, for dev/test purposes.
I'm not sure if you can get it to work with multiple containers though.
Service Fabric Linux Clusters in a Container
We have provided a
pre-configured Docker container image to run Service Fabric Linux
clusters in a container. The main scenario is to provide a
light-weight development experience for MacOS, but the container will
also run on Linux and Windows, using Docker CE.
To get started, follow the directions here:
https://learn.microsoft.com/en-us/azure/service-fabric/service-fabric-get-started-mac
and
https://learn.microsoft.com/en-us/azure/service-fabric/service-fabric-local-linux-cluster-windows
I am using docker diff in my application in order to find all changed files in a container. Now, my application manages containers through Kubernetes and don't have a direct access to them. I found Kubernetes implementations for several docker commands (like kubectl logs), bit docker diff is missed.
Is there a way to execute docker diff for a pod through Kubernetes?
Many thanks
Kubernetes (kubectl) does not offer an equivalent command. Ideally you should not be using this command at all outside your local development environment (which is docker)
The best practice is to start containers with readonly root filesystem, so that you avoid storing any important state in containers. Kubernetes can kill and restart your pod in another node as a new container, so you should not care about the docker diff that happens on the container.