Simple Tensorflow Serving Operator

Kubernetes is a powerful and highly extensible system for managing containerized workloads and services. It has two main components, the Master Components and the Node Componenets, and extensions. The Master Components: Kube-apiserver, the API server is the front end for the Kubernetes control plane. etcd, is a highly-available key value store used as Kubernetes’ backing store for all cluster data. kube-scheduler, is the component of the master that watches newly created pods that have no node assigned, and selects a node for them to run on.
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Part 4: Microservices - Deploy on GKE + Istio

This the last blog post from a series of 5, where I dived into the process of creating and deploying a microservice project, named League App. It is a toy project but my intention was to showcase the technologies I used along the path from creation to deployment. In the previous blog post I deployed the League App locally, which is fine for fast development. But you’ll get into a point where you want to make the App available for the rest of the world.
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Part 3: Microservices - Deploy on Minikube

In my previous blog posts I described the architecture I used to create the League App microservice and the communication between the services. Meantime, I have extended the League App by adding new services, which play specific roles. PlayerOps service perform CRUD operation over the player database, I have implemeneted just Create and Delete player functions but this can be extended easily to Read and Update . Transfer service is used to move a player from one team to another, affecting receiving/outgoing team’s capital.
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