I want to use Docker in a production context. I want to let my collaborators pulling the latest image that I built, directly from Docker Hub. and I wonder if there is any restriction on pull number and image size in Docker Hub. I look at Docker Hub website but I didn't find an answer to my question
All you have to do to avoid Docker's new rate-limit error is authenticate to your Docker Hub account. After you've authenticated to the account, you won't be pulling the image as an anonymous user but as an authenticated user.
You have reached your pull rate limit. You may increase the limit by authenticating and upgrading: https://www.docker.com/increase-rate-limits. You must authenticate your pull requests. To increase your pull rate limits you can upgrade your account to a Docker Pro or Team subscription.
Copy public images into an Amazon ECR private registry Create an Amazon Elastic Container Registry (Amazon ECR) repository, and then push the image into this new repository. With this approach, you might avoid exceeding the Docker Hub pull limit by pulling the images from the Amazon ECR repository.
By default, docker pull pulls a single image from the registry. A repository can contain multiple images. To pull all images from a repository, provide the -a (or --all-tags ) option when using docker pull .
Effective from 1st November 2020, the following restrictions apply to Docker Hub:
The pull limit is per requesting user - not per image. Anonymous users are identified by their IP address.
A pull is defined as a request to GET the manifest of an image. This means even if you already have all the latest layers locally, running docker pull
will still count towards the quota, even though nothing new needs downloading.
Images not pulled or pushed in the past 6 months are classified as inactive.
There isn't any hard limit on number of pulls or image size. However, if you have very large image (several Gigs), it might tremendously slow down your push/pull.
And if you are using Automated builds on Docker Hub, the current limits are:
* 2 hours
maximum build time
* 2 GB
RAM
* 1
CPU
* 30 GB
Disk Space
For larger Automated builds you could either break them into several Automated Builds connected by FROM statements and Repository Links, or build them locally on your machine and push them.
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