Links to tools and resources for architectures not covered in this chapter are as follows:
- Using TensorFlow Serving in Docker: https://www.tensorflow.org/serving/docker
- Using TensorFlow Serving in Kubernetes: https://www.tensorflow.org/serving/serving_inception
- Luigi, a pipeline tool for batch jobs: https://github.com/spotify/luigi
- Using TensorFlow in Flask: https://guillaumegenthial.github.io/serving.html
- A Python framework for distributed task-queuing: http://www.celeryproject.org/community/
- How to use AWS lambdas with TensorFlow models: https://aws.amazon.com/blogs/machine-learning/how-to-deploy-deep-learning-models-with-aws-lambda-and-tensorflow/
