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Status Not under consideration
Created by Guest
Created on Sep 11, 2018

RELATED IDEAS

Ability to move fully trained STT models between separate instances (i.e. DEV vs. PROD or separate accounts)

  • Customers for best practice reasons keep environments separate (DEV vs. PROD) for security, performance, testing & availability of the model. 
  • Training STT models can take hours to train.
  • Not utilizing fully trained models results in delays in providing updated STT models in PROD
  • Duplication of effort in DEV & PROD, increases operational impact & costs.
  • Post comment
  • Admin
    Marco Noel
    Nov 14, 2019

    This is under investigation for 2020

    Reply
  • Guest
    Sep 24, 2018

    This feature is currently in needed, especially by customers consuming STT with acoustic models which can be time consuming to retrain. From a dev ops governance standpoint customers need a way to cascade or copy the binary files only to insure all copies perform identically to the original.

    Reply
  • Guest
    Sep 11, 2018

    Having something that could be incorporated into a DevOps pipeline will move STT from a "curiosity" to something that we can claim we have a real SW engineering discipline around.  

    If this capability becomes available, then service availability in ANY environment could be guaranteed using a simple blue/green DevOps deployment technique.

    Reply
  • Guest
    Sep 11, 2018

    Service may be unavailable during cut over which would impact Customer's using this service experience

    Reply

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