cosign VS Poetry

Cosign: In this context, Cosign from the Sigstore project offers a compelling solution. Its simplicity, registry compatibility, and effective link between images and their signatures provide a user-friendly and versatile approach. The integration of Fulcio for certificate management and Rekor for secure logging enhances Cosign's appeal, making it particularly suitable for modern development environments that prioritize security and agility.

sigstore is another suite of tools that focuses on attestation and provenance. Within the suite are two tools I heard mentioned a few times at KubeCon: Cosign and Rekor.

Since we can distribute Spin applications using popular registry services, we can also take advantage of ecosystem tools such as Sigstore and Cosign, which address the software supply chain issue by signing and verifying applications using Sigstore's new keyless signatures (using OIDC identity tokens from providers such as GitHub).

Use distroless images (which contain only application and its runtime dependencies, and don't include package managers/shells or any other programs you would expect to find in a standard Linux distribution). All distroless images are signed by cosign.

$ COSIGN_EXPERIMENTAL=1 cosign verify-blob --cert https://github.com/sigstore/cosign/releases/download/v1.13.1/cosign-linux-amd64-keyless.pem --signature https://github.com/sigstore/cosign/releases/download/v1.13.1/cosign-linux-amd64-keyless.sig https://github.com/sigstore/cosign/releases/download/v1.13.1/cosign-linux-amd64

Another thing to look for is, whether the image is signed using something like cosign (https://github.com/sigstore/cosign). This lets the publisher digitally sign the image, so you at least know that what's on the registry is what they intended to put there. Handy to avoid the risks of attackers squatting similar names and catching typos.

i’m late but surprised no one has mentioned cosign

name: Docker # This workflow uses actions that are not certified by GitHub. # They are provided by a third-party and are governed by # separate terms of service, privacy policy, and support # documentation. on: push: branches: [ "main" ] # Publish semver tags as releases. tags: [ 'v*.*.*' ] pull_request: branches: [ "main" ] paths: - src/MamisSolidarias.WebAPI.Campaigns/Dockerfile - .github/workflows/docker-publish.yml workflow_dispatch: env: # Use docker.io for Docker Hub if empty REGISTRY: ghcr.io IMAGE_NAME: mamis-solidarias/campaigns jobs: build: runs-on: ubuntu-latest permissions: contents: read packages: write # This is used to complete the identity challenge # with sigstore/fulcio when running outside of PRs. id-token: write steps: - name: Checkout repository uses: actions/checkout@v3 # Install the cosign tool except on PR # https://github.com/sigstore/cosign-installer - name: Install cosign if: github.event_name != 'pull_request' uses: sigstore/cosign-installer@main with: cosign-release: 'v1.13.1' - name: Set up QEMU uses: docker/setup-qemu-action@v2 with: platforms: 'arm64' # Workaround: https://github.com/docker/build-push-action/issues/461 - name: Setup Docker buildx uses: docker/setup-buildx-action@v2 # Login against a Docker registry except on PR # https://github.com/docker/login-action - name: Log into registry ${{ env.REGISTRY }} if: github.event_name != 'pull_request' uses: docker/login-action@v2 with: registry: ${{ env.REGISTRY }} username: ${{ github.actor }} password: ${{ secrets.GITHUB_TOKEN }} # Extract metadata (tags, labels) for Docker # https://github.com/docker/metadata-action - name: Extract Docker metadata id: meta uses: docker/metadata-action@v4 with: images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }} tags: | type=schedule type=ref,event=branch type=ref,event=pr type=semver,pattern={{version}} type=semver,pattern={{major}}.{{minor}} type=semver,pattern={{major}} type=sha # Build and push Docker image with Buildx (don't push on PR) # https://github.com/docker/build-push-action - name: Build and push Docker image id: build-and-push uses: docker/build-push-action@v3 with: context: . platforms: linux/amd64, linux/arm64 file: src/MamisSolidarias.WebAPI.Campaigns/Dockerfile push: ${{ github.event_name != 'pull_request' }} tags: ${{ steps.meta.outputs.tags }} labels: ${{ steps.meta.outputs.labels }} # Sign the resulting Docker image digest except on PRs. # This will only write to the public Rekor transparency log when the Docker # repository is public to avoid leaking data. If you would like to publish # transparency data even for private images, pass --force to cosign below. # https://github.com/sigstore/cosign - name: Sign the published Docker image if: ${{ github.event_name != 'pull_request' }} env: COSIGN_EXPERIMENTAL: "true" # This step uses the identity token to provision an ephemeral certificate # against the sigstore community Fulcio instance. run: echo "${{ steps.meta.outputs.tags }}" | xargs -I {} cosign sign {}@${{ steps.build-and-push.outputs.digest }}

After inspecting the layers i think you should start thinking about signing your images: https://github.com/sigstore/cosign/

cosign

You can manage dependencies in Python with the package manager pip, which comes pre-installed with Python. Pip allows you to install and uninstall Python packages, and it uses a requirements.txt file to keep track of which packages your project depends on. However, pip does not have robust dependency resolution features or isolate dependencies for different projects; this is where tools like pipenv and poetry come in. These tools create a virtual environment for each project, separating the project's dependencies from the system-wide Python environment and other projects.

Poetry provides packaging and dependency management for Python. If you haven't already, install poetry via pip:

Poetry

The Semantify repository provides an example Astro.js project. Ensure you have poetry installed, then build the project from the root of the repository:

Has anyone else been paying attention to how hilariously hard it is to package PyTorch in poetry?

https://github.com/python-poetry/poetry/issues/6409

Based on this comment 5 days ago[0], it's working? I'm not sure didn't dig in too far but based on that comment it seems fair to say that it's not fully Poetry's fault because torch removed hashes (which poetry needs to be effective) for a while only recently adding it back in.

Not sure where I would stand if I fully investigated it tho.

[0] https://github.com/python-poetry/poetry/issues/6409#issuecom...

We will be running this project in Python 3.10 on Mac/Linux, and we will use Poetry to manage our dependencies. Later, we will bundle our app into a container using docker for deployment.

Here are the two main packaging issues I run into, specifically when using Poetry:

1) Lack of support for building extension modules (as mentioned by the article). There is a workaround using an undocumented feature [0], which I've tried, but ultimately decided it was not the right approach. I still use Poetry, but build the extension as a separate step in CI, rather than kludging it into Poetry.

2) Lack of support for offline installs [1], e.g. being able to download the dependencies, copy them to another machine, and perform the install from the downloaded dependencies (similar to using "pip --no-index --find-links=."). Again, you can work around this (by using "poetry export --with-credentials" and "pip download" for fetching the dependencies, then firing up pypiserver [2] to run a local PyPI server on the offline machine), but ideally this would all be a first class feature of Poetry, similar to how it is in pip.

I don't have the capacity to create Pull Requests for addressing these issues with Poetry, and I'm very grateful for the maintainers and those who do contribute. Instead, on the linked issues I share my notes on the matter, in the hope that it may at least help others and potentially get us closer to a solution.

Regardless, I'm sticking with Poetry for now. Though to be fair, the only other Python packaging tools I've used extensively are Pipenv and pip/setuptools. It's time consuming to thoroughly try out these other packaging tools, and is generally lower priority than developing features/fixing bugs, so it's helpful to read about the author's experience with these other tools, such as PDM and Hatch.

[0] https://github.com/python-poetry/poetry/issues/2740

[1] https://github.com/python-poetry/poetry/issues/2184

[2] https://pypi.org/project/pypiserver/

We believe that poetry is currently the best tool for this purpose, besides of being the most popular one at the moment. This is why we will use poetry to manage the dependencies of our project throughout this series of posts. Poetry allows you to declare the libraries your project depends on, and it will manage (install/update) them for you. Poetry also allows you to package your project into a distributable format and publish it to a repository, such as PyPI. We strongly recommend you to learn more about this tool by reading the official documentation.

I started using poetry. The problem is poetry will not install if there is dependency conflict and there is no way to ignore: github