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MLOps Academy · Lesson

Push Your Image to a Registry

Store the container in ECR, GCR, or Docker Hub.

Push Your Image to a Registry is a free MLOps Academy lesson on CoddyKit — lesson 1 of 4. You can read the complete lesson below for free — then practise it hands-on in the browser with a built-in code editor and a 24/7 AI tutor. It is part of the MLOps Academy learning path, one of 4 lessons in the course, and your progress syncs across the web and the CoddyKit app.

Where Images Live

The cloud cannot pull an image off your laptop. You first push it to a container registry, a shared place that runtimes can pull from. 🚀

Pick a Registry

Each cloud has its own: AWS uses ECR, Google uses Artifact Registry, and Docker Hub works everywhere. Pick the one near your runtime.

Image Names Carry the Address

A full image name encodes its registry host, repository, and tag. The runtime reads that address to know exactly where to pull from.

registry.example.com/team/model-api:1.0.0

Tag Before You Push

Use docker tag to give your local image its full registry name. The push command uses this name to find the destination.

docker tag model-api registry.example.com/team/model-api:1.0.0

Log In First

Registries are private by default. Run docker login with your credentials so the daemon is allowed to push and pull images.

docker login registry.example.com

Push the Image

Now docker push uploads each layer to the registry. Shared base layers are skipped, so only your new code travels over the wire.

docker push registry.example.com/team/model-api:1.0.0

Never Rely on latest

The latest tag is a moving target, so two pulls can give different images. Always deploy a specific, immutable version tag.

Tag by Git Commit

A great trick is tagging images with the git commit SHA. Then any running container traces straight back to the exact source code.

docker tag model-api registry.example.com/team/model-api:$(git rev-parse --short HEAD)

Digests Are Truly Immutable

Tags can be overwritten, but a digest is a content hash that never moves. Pin production deploys to a digest for full certainty.

registry.example.com/team/model-api@sha256:9f86d0...

Confirm the Pull Works

From a clean machine, run docker pull on the full name. If it downloads cleanly, the cloud runtime will be able to pull it too.

docker pull registry.example.com/team/model-api:1.0.0

The Registry Is Your Handoff

Once the image is pushed and tagged, the registry becomes the single source the cloud deploys from. Your handoff to production is done.

Quick Check

Let us check what makes a deploy reproducible.

Recap

You tagged the image, logged in, and pushed it to a registry with an immutable version. The cloud can now pull your model anywhere. 🐳

Frequently asked questions

Is the “Push Your Image to a Registry” lesson free?

Yes — the full text of “Push Your Image to a Registry” is free to read here on the web, and the MLOps Academy course includes 4 lessons in total. To practise it interactively (a built-in code editor and a 24/7 AI tutor) and unlock the rest of the MLOps Academy course, upgrade to CoddyKit PRO.

What will I learn in “Push Your Image to a Registry”?

Store the container in ECR, GCR, or Docker Hub. You practise MLOps Academy with hands-on code you run directly in the browser, and a 24/7 AI tutor answers your questions as you work through the lesson.

Do I need any experience to start MLOps Academy?

No prior experience is required. MLOps Academy on CoddyKit is structured for beginners through advanced learners; this is — lesson 1 of 4, so you can start here or from the beginning and move at your own pace.

How long does the “Push Your Image to a Registry” lesson take?

Most CoddyKit lessons take about 5–10 minutes. Each one is bite-sized and interactive, so you make steady progress and pick up exactly where you left off across the web and the app.

Can I write and run code in this MLOps Academy lesson?

Yes. Every MLOps Academy lesson includes a built-in code editor, so you write and run real code right in your browser and get instant AI feedback — no local setup required.

All lessons in this course

  1. Push Your Image to a Registry
  2. Deploy to a Serverless Container Runtime
  3. Configure Autoscaling and Concurrency
  4. Manage Secrets and Config in the Cloud
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