ml-tooling / opyrator

🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.

Home Page:https://opyrator-playground.mltooling.org

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Finalize production deployment capabilities

LukasMasuch opened this issue · comments

Feature description:

Finalize capabilities to deploy an Opyrator to a cloud platform.

Rolling out your Opyrators for production usage might require additional features such as SSL, authentication, API tokens, unlimited scalability, load balancing, and monitoring. Therefore, we provide capabilities to easily deploy your Opyrators directly on scalable and secure cloud platforms without any major overhead.

The deployment can be executed via command line:

opyrator deploy my_opyrator:hello_world <deployment-provider> <deployment-provider-options>

In the absence of this feature, is there a way to deploy this to Azure?

How and where we can deploy this?
Is it possible to deploy on streamlit?
What is the "deployment-provider-options" in below command-

opyrator deploy my_opyrator:hello_world <deployment-provider> <deployment-provider-options>

Except cloud platform like azure etc. Is there any other platform like streamlit to deploy Opyrator UI and API apps?

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