Deployment of a Machine Learning Models on Google Cloud Platform with Google Kubernetes Engine.
Google Kubernetes Engine (GKE) is the implementation of open source Kubernetes on Google Cloud Platform.
GKE is used to manage the ML containers. A container is a software that packages up an application and all its dependencies to make it independent of the computing environment.
We shall containerize a locally trainer Machine Learning model and deploy the pipeline on Google Kubernetes Engine.
GKE is a platform designed to automatically manage the life cycle of containerized applications across a cluster of machines to ensure the performance, scalability is taken care for the ML models. The benefits of using GKE are: Load Balancing, Scaling, Self-healing, Automated Rollouts and Storage management for applications.
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