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Automated blue-green rollout

This tutorial shows how Iter8 can be used to implement a blue-green rollout of a Kubernetes application. In a blue-green rollout, a percentage of requests are directed to a candidate version of the application. The remaining requests go to the primary, or initial, version. Iter8 enables a blue-green rollout by automatically configuring routing resources to distribute requests.

After a one-time initialization step, the end user merely deploys candidate versions, evaluates them, and either promotes or deletes them. Optionally, the end user can modify the percentage of requests being sent to the candidate. Iter8 automatically handles all underlying routing configuration.

Blue-Green rollout

Before you begin
  1. Ensure that you have the kubectl CLI.
  2. Install Istio. You can install the demo profile.

Install Iter8

helm install --repo https://iter8-tools.github.io/iter8 iter8 traffic
helm install --repo https://iter8-tools.github.io/iter8 iter8 traffic \
--set clusterScoped=true
kubectl apply -k 'https://github.com/iter8-tools/iter8.git/kustomize/iter8/namespaceScoped?ref=v0.15.3'
kubectl apply -k 'https://github.com/iter8-tools/iter8.git/kustomize/iter8/clusterScoped?ref=v0.15.3'

Initialize primary

Application

Deploy the primary version of the application. In this tutorial, the application is a Kubernetes Deployment. We use httpbin as our application. Initialize the resources for the primary version (v0) as follows:

kubectl create deployment httpbin-0 --image=kennethreitz/httpbin --port=80
kubectl label deployment httpbin-0 app.kubernetes.io/version=v0
kubectl label deployment httpbin-0 iter8.tools/watch=true
kubectl expose deployment httpbin-0 --port=80
About the primary

Naming the instance with the suffix -0 (and the candidate with the suffix -1) simplifies the routing initialization (see below). However, any name can be specified.

The label iter8.tools/watch: "true" is required. It lets Iter8 know that it should pay attention to changes to this application resource.

The label app.kubernetes.io/version is not required; we include it here as a means to distinguish between deployed versions.

You can inspect the deployed Deployment. When the AVAILABLE field becomes 1, the application is fully deployed.

kubectl get deployment httpbin-0

Routing

Initialize the routing resources for the application to use a blue-green rollout strategy:

cat <<EOF | helm template routing --repo https://iter8-tools.github.io/iter8 routing-actions -f - | kubectl apply -f -
appType: deployment
appName: httpbin
action: initialize
strategy: blue-green
EOF

The initialize action (with strategy blue-green) configures the (Istio) service mesh to route all requests to the primary version of the application (httpbin-0). It further defines the routing policy that will be used when changes are observed in the application resources. By default, this routing policy splits requests 50-50 between the primary and candidate versions. For detailed configuration options, see the Helm chart.

Verify routing

To verify the routing configuration, you can inspect the VirtualService:

kubectl get virtualservice -o yaml httpbin

To send inference requests to the model:

  1. Create a "sleep" pod in the cluster from which requests can be made:

    curl -s https://raw.githubusercontent.com/iter8-tools/docs/v0.15.2/samples/kserve-serving/sleep.sh | sh -
    

  2. exec into the sleep pod:

    kubectl exec --stdin --tty "$(kubectl get pod --sort-by={metadata.creationTimestamp} -l app=sleep -o jsonpath={.items..metadata.name} | rev | cut -d' ' -f 1 | rev)" -c sleep -- /bin/sh
    

  3. Send requests:

    curl httpbin.default -s -D - \
    | grep -e HTTP -e app-version
    

  1. In a separate terminal, port-forward the ingress gateway:

    kubectl -n istio-system port-forward svc/istio-ingressgateway 8080:80
    

  2. Send requests:

    curl -H 'Host: httpbin.default' localhost:8080 -s -D - \
    | grep -e HTTP -e app-version
    

Note that the model version responding to each inference request is noted in the response header app-version. In the requests above, we display only the response code and this header.

Deploy candidate

Deploy a candidate model using a second Deployment:

kubectl create deployment httpbin-1 --image=kennethreitz/httpbin --port=80
kubectl label deployment httpbin-1 app.kubernetes.io/version=v1
kubectl label deployment httpbin-1 iter8.tools/watch=true
kubectl expose deployment httpbin-1 --port=80
About the candidate

In this tutorial, the image is the same as for the primary version. In a real world example, it would be different.

Verify routing changes

The deployment of the candidate triggers an automatic routing reconfiguration by Iter8. Inspect the VirtualService to see that the routing has been changed. Inspect the VirtualService to see that the routing has been changed. Requests are now distributed between the primary model and the secondary model:

kubectl get virtualservice httpbin -o yaml

You can send additional inference requests as described above. They will be handled by both versions of the model.

Modify weights (optional)

You can modify the weight distribution of inference requests as follows:

cat <<EOF | helm template routing --repo https://iter8-tools.github.io/iter8 routing-actions -f - | kubectl apply -f -
appType: deployment
appName: httpbin
action: modify-weights
strategy: blue-green
appVersions:
  - weight: 20
  - weight: 80
EOF

Note that using the modify-weights action overrides the default traffic split for all future candidate deployments.

As above, you can verify the routing changes.

Promote candidate

Promoting the candidate involves redefining the primary version of the application and deleting the candidate version.

Redefine primary

kubectl set image deployment/httpbin-0 httpbin=kennethreitz/httpbin
kubectl label deployment httpbin-0 app.kubernetes.io/version=v1 --overwrite
What is different?

The version label (app.kubernets.io/version) was updated. In a real world example, the image would also have been updated.

Delete candidate

Once the primary has been redeployed, delete the candidate:

kubectl delete deployment/httpbin-1 service/httpbin-1

Verify routing changes

Inspect the VirtualService to see that the it has been automatically reconfigured to send requests only to the primary.

Cleanup

If not already deleted, delete the candidate:

kubectl delete deployment/httpbin-1 service/httpbin-1

Delete routing:

cat <<EOF | helm template routing --repo https://iter8-tools.github.io/iter8 routing-actions -f - | kubectl delete -f -
appType: deployment
appName: httpbin
action: initialize
strategy: blue-green
EOF

Delete primary:

kubectl delete deployment/httpbin-0 service/httpbin-0

Uninstall Iter8:

helm delete iter8
kubectl delete -k 'https://github.com/iter8-tools/iter8.git/kustomize/iter8/namespaceScoped?ref=v0.15.3'
kubectl delete -k 'https://github.com/iter8-tools/iter8.git/kustomize/iter8/clusterScoped?ref=v0.15.3'