![]() ![]() Kubernetes is a container orchestration platform that seeks to address these issues. Furthermore, it is difficult (some would say near impossible) to test entire deployment strategies locally, which makes issues such as networking hard to debug. This constitutes knowledge that needs to be acquired for every cloud provider. ![]() the deployment process and topology for Amazon Web Services is not the same as that for Microsoft Azure, which in-turn is not the same as that for Google Cloud Platform. The configuration details for a continuously available cloud deployment are specific to the targeted cloud provider(s) - e.g. fault-tolerance, auto-scaling, load balancing and rolling service updates. These can then deployed to a cloud environment for handling everything required for maintaining continuous availability - e.g. ML models trained using the SciKit Learn or Keras packages (for Python), that are ready to provide predictions on new data - is to expose these ML models as RESTful API microservices, hosted from within Docker containers.
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