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Tailored docker images as a Service

Container Images

Our professional container images strengthen your Data Science and analytics infrastructure at its core building blocks. Work with a selection of tailored R and/or Python images that fit the needs of your team's CI/CD pipelines. Benefit from our curated and frequently updated images incorporating years of applied experience in data science and analytics.

Integrate Seamlessly With Our Posit Workbench and Connect Images

CI/CD images from cynkra allow you to seamlessly execute workflows, whether they have been developed within a managed Data Science Environment by cynkra or outside.

  • The same set of system dependencies as in our Posit Connect & Workbench images
  • Slimified and hardened for production use 
steps:
  install:
    image: ci-images/r-latest-rhel9
    commands:
      - R -q -e "install.packages ('tidyverse')"
  deploy:
    image: ci-images/r-latest-rhel9
    commands:
      - R -q -e "install.packages ('tidyverse')"

Example YAML pipeline definition from Woodpecker CI

Why Use Our Images?

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Available for Red Hat Enterprise Linux

Most free data science images for R and/or Python are based on Ubuntu or Debian. We also offer Red Hat Enterprise Linux (RHEL) images based on the Universal Base Images (UBI) from RedHat.

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Available for Ubuntu

If you prefer Ubuntu to Red Hat Enterprise Linux (RHEL), we also got you covered. We build our CI/CD images for the two latest Ubuntu LTS releases.

Pre-Installed System Dependencies

Our images come with the most commonly used system dependencies needed for data science CI/CD tasks such as Pandoc, Quarto, curl, git, etc.

Rebuilt Weekly

We rebuild all images once per week to incorporate the latest security updates from the respective upstream images.

 
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Dockerhub or AWS ECR

Images can be accessed securely from our private image repositories on Dockerhub or AWS. Customers can pull images into their own image artifactory for pre-usage vulnerability scanning.

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Stored Close To You

Images reside in our AWS registries in either Switzerland or Germany. This allows for fast pull times and secured private access.

Available Images

The table below shows all available combinations of operating systems and programming languages we currently offer. Images are rebuilt every week to incorporate the latest security updates. For Python images, we always use the latest patch version of the respective minor version.

Language Operating System Version Registries
R Ubuntu 20.04 / Ubuntu 22.04 / RHEL8 / RHEL9 4.1.3 (Old LTS), 4.2.3 (Current LTS), Latest AWS / Dockerhub
Python Ubuntu 20.04 / Ubuntu 22.04 / RHEL8 / RHEL9 3.8, 3.9, 3.10, 3.11 AWS / Dockerhub

Frequently Asked Questions

We will provide you with credentials to pull the images from our private repositories.

Yes, we run a vulnerability scanner on all images after they have been pushed to the repository. With credentials, you are able to inspect the vulnerability scan. Alternatively, you might want to pull the images into an artifactory of yours first and run your own vulnerability scan.

Not at the moment. You are, of course, free to use less images but the minimum package price includes three images.

Yes, of course. We are aware that our images might not suit the needs of specialized environments and are happy to build a custom image for your team. It doesn't matter if it's a specific R or Python version or a set of (uncommon) system dependencies - just please let us know and we'll do it.

As the Dockerfiles are the heart of the product, we cannot provide them alongside.

Sure! Our core mission is to accelerate your workflows using the right tools and approaches. If you are interested, please contact us and we'll get back to you.

We recommend using the operating system that you also use internally in your company. This way your data science pipelines run in the same environment as your data engineers and data analysts work with. Both Ubuntu and RHEL have their advantages and disadvantages.

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