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.
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 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'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.
I'm using terraform to create container on Azure using azure_container_group. My container is based on a docker image stored on a private registry. When I update this image by pushing a new version with the latest tag my docker image have a new SHA256 ... but terraform seems not able to trigger this update.
Am i missing something ?
Thanks,
Dan
First of all, Azure Container Instance does not have the feature that automatically updates the images. So you need to update the images yourself manually. And Terraform is just a tool to create the Azure Container Instance, you can use it to create a trigger to update the images, but you cannot use Terraform itself to do it.
To automatically update the images, I recommend you use the Azure Container Registry, it provides the trigger on the commit to update the images. Take a look at Automate container image builds in the cloud when you commit source code.
I have an application container pushed to a gitlab container registry. I am trying to deploy it into azure web app service as a container. I did the configuration as best as I could understand based on the documentation from azure. But I don't understand what I am missing because azure logs show azure still trying to connect to docker hub registry.
In the logs I get the following
2019-05-13 09:21:49.741 ERROR - DockerApiException: Docker API responded with status code=InternalServerError, response={"message":"Get https://registry-1.docker.io/v2/library/<image-name>/manifests/latest: unauthorized: incorrect username or password"}
2019-05-13 09:21:49.743 ERROR - Pulling docker image <image-name> failed:
2019-05-13 09:21:49.743 INFO - Pulling image from Docker hub: library/<image-name>
2019-05-13 09:21:50.795 ERROR - DockerApiException: Docker API responded with status code=NotFound, response={"message":"pull access denied for <image-name>, repository does not exist or may require 'docker login'"}
2019-05-13 09:21:50.797 ERROR - Image pull failed: Verify docker image configuration and credentials (if using private repository)
Can anyone tell me what I might be doing wrong here? I believe the problem is the registry url config. Any help would be appreciated.
For anyone else who faces the same problem, my problem was that I was giving only the image name, had to put the full name of the image registry registry.gitlab.com/<group name>/<image name>
Since it took me a while to fiddle that together, this is what helped me most. (Thanks #Hassaan for your answer that pointed me in the right direction)
GitLab
You need to be aware of your container registry located in GitLab.
Check image naming conventions for that.
If you are using GitLab Cloud registry URL is: https://registry.gitlab.com
Once you logged into GitLab check your project and navigate to "Packages & Registries" and click on "Container Registry".
If you already published an image, it will be shown there in the list. What you see there is what I will call "full-image-name".
It'll be most likely <namespace>/<project>/<image-name>.
We need that full-image-name later. Click on that image in that list to get a list of image tags. You will have to selecte a tag to use for later.
If you did not publish an image to that registry yet, check the docs to get started.
Azure Web App
Navigate to your App Service and find "Container settings (Classic)" in the left side menu.
Then simply fill in required data.
Server URL: https://registry.gitlab.com
Full Image Name and Tag: <full-image-name>:<tag> (see above)
If you are not sure what to put into login and password have a look at how to authenticate with the container registry.