Within your course repository, create a directory "hw3". Commit and push to your remote repository.

cd <path_to_repo>
mkdir hw3
touch hw3/Dockerfile.large
touch hw3/Dockerfile.small
touch hw3/screenshots.pdf
git add hw3
git commit -m "initial commit for hw3"
git push

Dockerfile.large

• This file should take your application in hw2 and construct a container that employs Ubuntu 22.04 as a base Linux image. The command below should successfully build your container locally:

docker build -f Dockerfile.large -t <dockerhub_id>/hw3large .

Dockerfile.small

• This file should take your application in hw2 and construct a container that employs a base Linux image that is as small as possible. Possible alternatives include Alpine, Busybox, and Minimal Ubuntu. Tips for shrinking containers can be found here, here, and here. The command below should successfully build your container locally.

docker build -f Dockerfile.small -t <dockerhub_id>/hw3small .

Docker Hub submission

• Upload both images to your Docker Hub account

docker push <dockerhub_id>/hw3large
docker push <dockerhub_id>/hw3small

screenshots.pdf

Create a Google Doc for the assignment to capture your screenshots in

• Show (via 2 screenshots) the size of both containers on Docker Hub by clicking on "Tags".

On your Ubuntu VM, delete all containers and container images using docker ps, docker stop, docker rm, and docker rmi. Then, use docker run to instantiate each of your container images on Docker Hub and ensure it maps the Ubuntu VM's port 8000 to the container's port 5000.

• Show the console output displaying the container image layers being pulled.

Perform a wget to your container (e.g. http://localhost:8000) and send the output to a file.

• Perform a cat on the file to show that it returns your landing page.

Export the Google Doc containing your screenshots to hw3/screenshots.pdf. Add and push the file to your repository.

The following rubric will be used to evaluate your homework submission: