Let's talk Thoth Tech
Channel: Thoth Station
Date: 05/11/2021

Using GitHub to show deployments
https://github.com/thoth-station/workflow-helpers/pull/350
Example: https://github.com/thoth-station/srcops-testing/deployments 
Goal would be to have a landing place to see the deployed versions
Existing integration: there are various integration points:
Kebechet for a new release : responds with version
ArgoCD to chat bot: responds with deployment 
Example: https://github.com/thoth-station/thoth-application/blob/b9e4626ef37d1af4c491dea332b7fd274840875d/adviser/overlays/moc-prod/thoth-notification.yaml#L34 

Solving aarch64 python modules
Right now we recommend certain packages based on gpu availability (gpu vs cpu). Something similar could be used for target architectures?
Solver can stay untouched, 
Find a aarch64 host (VM) for us and run some solver (manually) on it, let’s learn what will be in the solver documents
Check if Solver document are platform aware (hardware part of the runtime env info)
Do we want architecture-specific tables in the database?
https://pypi.org/project/tensorflow-aarch64/2.7.0rc1/ linaro builds of TensorFlow available on PyPI
https://archlinuxarm.org/packages/aarch64/python-pip pip seems to be installed from this source instead of pypi.
https://quay.io/repository/pypa/manylinux2014_aarch64 
Building and Delivering aarch64 python modules 
Pipelines to cover building for different target architectures
Needs aarch64 worker nodes to build
Should we have our own package repo for ARM packages?
Linaro has arm content on pypi e.g. https://pypi.org/project/tensorflow-aarch64/2.7.0rc1/