Skip to main content
Redhat Developers  Logo
  • AI

    Get started with AI

    • Red Hat AI
      Accelerate the development and deployment of enterprise AI solutions.
    • AI learning hub
      Explore learning materials and tools, organized by task.
    • AI interactive demos
      Click through scenarios with Red Hat AI, including training LLMs and more.
    • AI/ML learning paths
      Expand your OpenShift AI knowledge using these learning resources.
    • AI quickstarts
      Focused AI use cases designed for fast deployment on Red Hat AI platforms.
    • No-cost AI training
      Foundational Red Hat AI training.

    Featured resources

    • OpenShift AI learning
    • Open source AI for developers
    • AI product application development
    • Open source-powered AI/ML for hybrid cloud
    • AI and Node.js cheat sheet

    Red Hat AI Factory with NVIDIA

    • Red Hat AI Factory with NVIDIA is a co-engineered, enterprise-grade AI solution for building, deploying, and managing AI at scale across hybrid cloud environments.
    • Explore the solution
  • Learn

    Self-guided

    • Documentation
      Find answers, get step-by-step guidance, and learn how to use Red Hat products.
    • Learning paths
      Explore curated walkthroughs for common development tasks.
    • Guided learning
      Receive custom learning paths powered by our AI assistant.
    • See all learning

    Hands-on

    • Developer Sandbox
      Spin up Red Hat's products and technologies without setup or configuration.
    • Interactive labs
      Learn by doing in these hands-on, browser-based experiences.
    • Interactive demos
      Click through product features in these guided tours.

    Browse by topic

    • AI/ML
    • Automation
    • Java
    • Kubernetes
    • Linux
    • See all topics

    Training & certifications

    • Courses and exams
    • Certifications
    • Skills assessments
    • Red Hat Academy
    • Learning subscription
    • Explore training
  • Build

    Get started

    • Red Hat build of Podman Desktop
      A downloadable, local development hub to experiment with our products and builds.
    • Developer Sandbox
      Spin up Red Hat's products and technologies without setup or configuration.

    Download products

    • Access product downloads to start building and testing right away.
    • Red Hat Enterprise Linux
    • Red Hat AI
    • Red Hat OpenShift
    • Red Hat Ansible Automation Platform
    • See all products

    Featured

    • Red Hat build of OpenJDK
    • Red Hat JBoss Enterprise Application Platform
    • Red Hat OpenShift Dev Spaces
    • Red Hat Developer Toolset

    References

    • E-books
    • Documentation
    • Cheat sheets
    • Architecture center
  • Community

    Get involved

    • Events
    • Live AI events
    • Red Hat Summit
    • Red Hat Accelerators
    • Community discussions

    Follow along

    • Articles & blogs
    • Developer newsletter
    • Videos
    • Github

    Get help

    • Customer service
    • Customer support
    • Regional contacts
    • Find a partner

    Join the Red Hat Developer program

    • Download Red Hat products and project builds, access support documentation, learning content, and more.
    • Explore the benefits

How to work around Docker's new download rate limit on Red Hat OpenShift

February 18, 2021
Joel Lord
Related topics:
ContainersKubernetesOpen source

    Have you recently tried running oc new-app <docker-image>on Red Hat OpenShift and received a similar error message to the one below?

    W0216 12:21:52.014221  671649 dockerimagelookup.go:237] container image registry lookup failed: docker.io/username/image:latest: toomanyrequests: You have reached your pull rate limit. You may increase the limit by authenticating and upgrading: https://www.docker.com/increase-rate-limit
    

    If so, you do not need to upgrade your Docker account to a paid one. Instead, you can use a secret to pull your images as an authenticated Docker Hub user.

    Docker's new rate limit

    Docker recently changed its policy for downloading images as an anonymous user. The company now has a limit of 100 downloads every six hours from a single IP address.

    If you are using the OpenShift Developer Sandbox to experiment with a free OpenShift cluster, like I was recently, then you might encounter the error message shown in Figure 1.

    The new rate limit error message from Docker
    Figure 1: The new rate limit error message from Docker.

    You might receive this error message after trying to create a new application with the $ oc new-app command or from the user interface (UI). The issue is that many users are using the same cluster at the same time. Whenever someone tries to create a new application from a Docker image, the cluster downloads the image as an anonymous user, which counts toward the new rate limit. Eventually, the limit is reached, and the error message pops up.

    Fortunately, the workaround is easy.

    Authenticate to your Docker Hub account

    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. The image download will count against your personal limit of 200 downloads per six hours instead of the 100 downloads shared across all anonymous cluster users.

    You can use the following command to authenticate:

    $ oc create secret docker-registry docker --docker-server=docker.io --docker-username=<username> --docker-password=<password> --docker-email=<email>
    $ oc secrets link default docker --for=pull
    $ oc new-app <username>/<image> --source-secret=docker
    

    Note that it is recommended that you use an access token here instead of your actual password. Using an access token is also the only way to authenticate if you have two-factor authentication set up on your account.

    If you prefer to use the UI, as I do, click Create an image pull secret, as shown in Figure 2.

    Adding a pull secret from the Docker UI
    Figure 2: Adding a pull secret from the Docker UI.

    Either way, you can quickly create an image pull secret, authenticate to your Docker Hub account, and get back to experimenting in the OpenShift Developer Sandbox.

    Conclusion

    Docker's new download rate limit has caught a few of us by surprise, but the workaround is easy. This article showed you how to use a secret to pull your images as an authenticated Docker Hub user. Once you've done that, you will be able to download images without hitting the rate limit error.

    Last updated: February 17, 2021

    Recent Posts

    • Protect data offloaded to GPU-accelerated environments with OpenShift sandboxed containers

    • Case study: Measuring energy efficiency on the x64 platform

    • How to prevent AI inference stack silent failures

    • Preventing GPU waste: A guide to JIT checkpointing with Kubeflow Trainer on OpenShift AI

    • How to manage TLS certificates used by OpenShift GitOps operator

    Red Hat Developers logo LinkedIn YouTube Twitter Facebook

    Platforms

    • Red Hat AI
    • Red Hat Enterprise Linux
    • Red Hat OpenShift
    • Red Hat Ansible Automation Platform
    • See all products

    Build

    • Developer Sandbox
    • Developer tools
    • Interactive tutorials
    • API catalog

    Quicklinks

    • Learning resources
    • E-books
    • Cheat sheets
    • Blog
    • Events
    • Newsletter

    Communicate

    • About us
    • Contact sales
    • Find a partner
    • Report a website issue
    • Site status dashboard
    • Report a security problem

    RED HAT DEVELOPER

    Build here. Go anywhere.

    We serve the builders. The problem solvers who create careers with code.

    Join us if you’re a developer, software engineer, web designer, front-end designer, UX designer, computer scientist, architect, tester, product manager, project manager or team lead.

    Sign me up

    Red Hat legal and privacy links

    • About Red Hat
    • Jobs
    • Events
    • Locations
    • Contact Red Hat
    • Red Hat Blog
    • Inclusion at Red Hat
    • Cool Stuff Store
    • Red Hat Summit
    © 2026 Red Hat

    Red Hat legal and privacy links

    • Privacy statement
    • Terms of use
    • All policies and guidelines
    • Digital accessibility

    Chat Support

    Please log in with your Red Hat account to access chat support.