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10.8 Deploying to EKS

In the section we'll create Elastic Kubernetes Service (EKS) cluster on Amazon using cli, publishing the image to ECR and configure kubectl.

To create cluster and manage on EKS we'll use a cli tool eksctl which can be downloaded from here. And next we'll follow these steps:

  • In the kube-config folder create eks config file eks-config.yaml:

    • apiVersion: eksctl.io/v1alpha5
kind: ClusterConfig

metadata:
  name: mlzoomcamp-eks
  region: ap-south-1

nodeGroups: # for our case, we need only one node group (CPU)
  - name: ng-m5-xlarge
    instanceType: m5.xlarge
    desiredCapacity: 1
    • Create eks cluster: eksctl create cluster -f eks-config.yaml

  • Publish local docker images to ECR:

    • Create aws ecr repository for eks cluster: aws ecr create-repository --repository-name mlzoomcamp-images
    • Bash commands to run in the teminal to push docker images to ecr repository: 
      • # Registry URI
ACCOUNT_ID=22782589
REGION=ap-south-123
REGISTRY_NAME=mlzoomcamp-images
PREFIX=${ACCOUNT_ID}.dkr.ecr.${REGION}.amazonaws.com/${REGISTRY_NAME}

# Tag local docker images to remote tag
GATEWAY_LOCAL=clothing-model-gateway:002 # gateway service
GATEWAY_REMOTE=${PREFIX}:clothing-model-gateway-002 # notice the ':' is replaced with '-' before 002
docker tag ${GATEWAY_LOCAL} ${GATEWAY_REMOTE}

MODEL_LOCAL=clothing-model:xception-v4-001 # tf-serving model
MODEL_REMOTE=${PREFIX}:clothing-model-xception-v4-001 # same thing ':' is replaced with '-' before xception
docker tag ${MODEL_LOCAL} ${MODEL_REMOTE}


# Push tagged docker images
docker push ${MODEL_REMOTE}
docker push ${GATEWAY_REMOTE}
      • Login to ecr and push images: $(aws ecr get-login --no-include-email), first push the model and then gateway remote image.
      • Get the uri of these images echo ${MODEL_REMOTE} and echo ${GATEWAY_REMOTE} and add them to model-deployment.yaml and gate-deployment.yaml respectively.
    • Apply all the yaml config files to remote node coming from eks (kubectl get nodes):
      • kubectl apply -f model-deployment.yaml
      • kubectl apply -f model-service.yaml
      • kubectl apply -f gateway-deployment.yaml
      • kubectl apply -f gateway-service.yaml
        • Testing the deployment pods and services should give us predictions.
    • Executing kubectl get service should give us the external port address which need to add in the test.py as access url for predictions (e.g., url = 'http://a3399e***-5180***.ap-south-123.elb.amazonaws.com/predict').

  • To delete the remote cluster: eksctl delete cluster --name mlzoomcamp-eks

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