Cloud Native Orchestration

Capstone project for Udacity's Cloud DevOps Nanodegree

We will prepare an image recognition service. This service constitues a react frontend, a golang gRPC API serving and a Tensorflow ModelServer. (TensorFlow Serving is a flexible, high-performance serving system for machine learning models, designed for production environments.)

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Application Architecture

A user submits an image url to the frontend service. The service makes a POST request and displays the result. The result is acquired when, the api sends a proto request and receives a proto response.

A result looks like this:

Pipeline

Deployment Strategy

We will be using a rolling update strategy for all microservices to ensure that we always have available instances. The following snippet show's how this is done in kubernetes:

spec:
  replicas: 2
  strategy:
    **type: RollingUpdate**
    rollingUpdate:
      maxUnavailable: 50%
      maxSurge: 1

Infrastructure Architecture

Creating Cluster

We will be using eksctl to create our EKS Cluster.

eksctl create cluster -f cluster.yaml

Create kubeconfig

aws eks --region us-west-2 update-kubeconfig --name KubernetesCluster

Enable GitOps

By install a flux agent in our cluster, any changes to this repo are picked up automatically and applied on the cluster

EKSCTL_EXPERIMENTAL=true
eksctl enable repo
--git-url git@github.com:mansong1/eks-cloudformation.git
--git-email martin.ansong@gmail.com
--cluster KubernetesCluster
--region us-west-2 --with-helm=false