I've trained a model and deployed it to ACI using Azure ML studio. It works as expected. Now I want to download the docker image and use it in my local environment. Is it possible to download the image using CLI?
Azure ML Studio must have pushed a container image somewhere before spinning up a container instance on ACI. You might be able to find out the image name by using Docker's ACI integration. For instance, you could run...
$ docker login azure
$ docker context create aci myacicontext
$ docker ps
... and check the IMAGE value of your running container, and see if you can pull that image to your local machine. If not, you might be able to create a new one using docker commit.
Now I want to download the docker image and use it in my local
environment. Is it possible to download the image using CLI?
It's possible to download the Docker image via CLI. When you trained a model and deployed it to ACI using Azure ML studio, there must be a place to store the images. Private registry or the public registry. You can see the tutorial, you can use a private registry such as the ACR, or other private registries. You can also use the Azure Machine Learning base images stored in the Microsoft registry, it's similar to the Docker hub.
If you have known where is the docker images stored, then you can download the docker images to your local environment.
From the public registry such as the Docker hub, you can pull the images directly:
docker pull image:tag
If it's a private registry, you need to log in with the credential first, for example, you use the Azure Container Registry:
docker login myacr.azurecr.io -u username -p password
docker pull myacr.azurecr.io/image:tag
Of course, you need to install the Docker server in your local environment first.
Related
I created an Azure Container Registry and added image to it.
Using the same resource group as Azure Container Registry, I am trying to add an Azure Container instance resource type. Both the resources are in same resource group. From the Registry dropdown, I am unable to select any registry as it is empty. Do I need to add any permission explicitly ?
I tried to reproduce the issue in my environment and got the below output
I have pulled the image from Docker hub
example image I am using
docker pull httpd
Created the container registry with name "NEWIMAGE"
I have tagged the image for determine where to push the image using below command
docker tag <image_name> registry_login_server(newimage.azurecr.io)/image
Pushed the image into container registry
docker push registry_login_server/image
While pushing the image to container registry if you get any error like below
We have to login to registry server using below commands
docker login login_server_container_registry
username:XXXXXX
password:XXXXXX
Before creating the container instance I have enabled the admin
user access keys
After that created the the container instance with same Resource Group
Note: we will get the issue because of two reasons
1). We have to tag the image before pushing into container registry
2). We have to enable the admin user access keys in the container registry.
I currently use kubectl ctr to import my image files into the containerd registry for my local vm k3s setup.
sudo /usr/local/bin/k3s ctr image import file.image
However, i am now trying to use azure kubernetes service (aks) going forward but i still don't want to use docker. Most documentations i found online on pushing images to AKS involved using docker registry which is not an option for me for now.
My question is:
How can i use ctr or any other containerd operation to push file.image to the azure container registry without involving docker or docker hub. Is there a way to transfer images from my local containerd registry to the azure container registry?
You can still use ctr to manage your container images with the below functionalities including push and tag actions that you are looking for
Please have a look at documentation;
https://www.mankier.com/8/ctr#images,_image,_i
I have a azure app service to host a docker image from out Azure Container Registry.
The full process is as follow:
Run Pipeline
Run Release pipeline
Azure app pulls the latest release from azure container registry
But what happen is that after Each realise, for some reason, the app service tries to pull the image from Docker Hubinstead of pulling from azure Container Registry.
Can somebody help to understand where is the issue here?
For your issue, I can guess the problem you made, you must set the image with the tag as, for example, nginx:latest. But if you push the image in the ACR and need to pull it from the ACR, you must set the image with the tag as myacr.azurecr.io/nginx:latest. In addition, you also need to configure the credential for your ACR.
I have a bunch of repositories in an Azure container registry. Each repository can have several versions of an image, tagged like this, imagename:v_1_0 or imagename:v_1_2. Almost all of these images uses the base image mcr.microsoft.com/dotnet/aspnet:5.0-buster-slim.
My question is, how do I create an acr task that updates all of my images when that base image is updated by microsoft? I have seen tutorials on creating an acr task but almost all of them assume that the source code is pushed from github and that I am only updating a single image. I would like to avoid creating a task for n number of images in each repository but I suppose I could create a job that automatically creates a task whenever I publish from visual studio.
Has anyone else solved this problem?
So, if you are building your images via ACR tasks they do that automatically for the following base images:
The same Azure container registry where the task runs
Another private Azure container registry in the same or a different region
A public repo in Docker Hub
A public repo in Microsoft Container Registry
https://learn.microsoft.com/en-us/azure/container-registry/container-registry-tasks-base-images#base-image-notifications
if you are building them outside of ACR and pushing to ACR - you probably need to handle that in the same place you are building them. ACR cant do that for images its not building (seems fair).
I created a docker image in Azure Machine Learning Service Workspace.
The image is successfully created.
What I need at the moment is to pull the image from that workspace to my local machine and run it locally using powershell.
When I pull an image from a container registry, it works fine.
I tried to pull it using this command:
docker pull myregistry.azurecr.io/myimage:v1.0.0
but I get this error message:
"Error response from daemon: manifest for myregistry.azurecr.io/myimage:v1.0.0 not found"
From the error, it means that there is no image which you want to pull in the registry. So you should check if the image is already in your registry. If exist, perhaps you use a wrong tag. If not, push the image to the registry, then you can pull the image locally.