Comments (3)
meocong
commented on July 22, 2024
@vantam164 We've already thought about supporting autoscaling in Mlchain Library last year, but finally we come up with Kubernetes + Queue to manage and autoscale, we are testing to public it soon.
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meocong
commented on July 22, 2024
@vantam164 And if you have any idea to implement it, please don't hesitate to help us, many thanks!
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Phelan164
commented on July 22, 2024
yes, I also prefer go with K8S.
Recently, I really surprised with this one https://render.com/
super easy to deploy within second at scale
Maybe there something interesting inside
One super cool feature: CI/CD, i.e. when we update source code it auto deploy
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Related Issues (20)
- Environment variable CUDA_VISIBLE_DEVICES don't have effect when running with MLChain
- Merge conflict not resolved yet
- Compress css files
- Remove + compress js files
- CI/CD for documentations on release
- Auto parse argument of mlchain run to mlconfig HOT 1
- PyYAML Breaking Dependency
- ModuleNotFoundError: No module named 'code.server'; 'code' is not a package HOT 1
- TensorFlow 1 Session hanging when run with pure python but not with CLI
- objc[28043]: +[__NSCFConstantString initialize] may have been in progress in another thread when fork() was called. HOT 1
- Need to expose sock from Gunicorn wrapper
- Update mlchain init mlconfig.yml
- Better mlchain exported variables converter
- Sentry integration
- Support on ARM
- Support Starlette
- TypeError: 'coroutine' object is not iterable HOT 1
- Support full CI matrix build for x86 HOT 1
- Defining api routes HOT 3
- ImportError: cannot import name 'ResponseClosed' from 'httpx' HOT 1
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