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Docker image for SLIMSGate Remote Service

User story

As a dev ops engineer, I want to build a docker container for the slimsgate remote service, so I can deploy it to our k8s namespace

Acceptance criteria

  • A folder for slims_gate_remote
  • A Dockerfile that builds an image to run the SlimsGateRemoteService
  • Given an opts folder in s3, add instructions to inform a user that they need to pull down the zipped file from s3, and then the Dockerfile will have a command to ADD that file during the build
  • The Docker container running the image will run the command to start the service an init

Sprint Ready Checklist

  • 1. Acceptance criteria defined
  • 2. Team understands acceptance criteria
  • 3. Team has defined solution / steps to satisfy acceptance criteria
  • 4. Acceptance criteria is verifiable / testable
  • 5. External / 3rd Party dependencies identified
  • 6. Ticket is prioritized and sized

Notes

Add any helpful notes here.

Create docker image for horta deployment

As an devops engineer, I want an easy and consistent way to deploy hortacloud.

  • Add a folder to this repo hortacloud-deployment that contains
  • A Readme file with instructions on how to deploy hortacloud via
  • A Dockerfile
  • The Dockerfile should be based on node16 and have commands to install aws cli and cdk
  • (Optional?) Publish the docker image

Actions workflow for publishing a docker image fails upon PR merge

Describe the bug
A tag job fails due to the absence of pyproject.toml file

To Reproduce
Steps to reproduce the behavior:

  1. Merge to main branch
  2. See Actions

Expected behavior
A docker image should be published to ghcr

Screenshots

Run pkg_name=$(grep -P 'version = \{attr = .*\}' pyproject.toml | grep -oP '\w+.__version__')
grep: pyproject.toml: No such file or directory
Error: Process completed with exit code 1.

set up base image for johannes

build an environment that includes, pytorch, tensorflow, jax (I think that comes automatically with tensorflow), and jupyterlab? Probably py3.10 and cuda>=12.0

Create airflow image

Is your feature request related to a problem? Please describe.
We may need to pip install extra core packages for airflow service. The recommendation is to extend the base docker image.

Describe the solution you'd like
https://github.com/airflow-helm/charts/blob/main/charts/airflow/docs/faq/configuration/extra-python-packages.md

Describe alternatives you've considered
We can build an env every time a container is spun up, but that can lead to unexpected breaking.

Additional context
Add any other context or screenshots about the feature request here.

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