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BentoML-0.5.4
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@parano parano released this 19 Dec 17:03
v0.5.4
db783a0

  • Prometheus metrics improvements in API server

    • metrics now work in multi-process mode when running with gunicorn
    • added 3 default metrics including to BentoAPIServer:
      • request latency
      • request count total labeled by status code
      • request gauge for monitoring concurrent prediction requests

  • New Tensorflow TensorHandler!

    • Receive tf.Tensor data structure within your API function for your Tensorflow and Keras model
    • TfSavedModel now can automatically transform input tensor shape based on tf.Function input signature

  • Largely improved error handling in API Server

    • Proper HTTP error code and message
    • Protect user error details being leaked to client-side
    • Introduced Exception classes for users to use when customizing BentoML handlers

  • Deployment guide on Google Cloud Run

  • Deployment guide on AWS Fargate ECS

  • AWS Lambda deployment improvements

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