Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Cloud Service Mesh Reviews

Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Cloud Service Mesh Reviews

10254 reviews

Rizma R. · Reviewed 11 months ago

Kadek Arie Anggara Putra C. · Reviewed 11 months ago

Najwa Laila Anggraini C. · Reviewed 11 months ago

Rizma R. · Reviewed 11 months ago

yes

Mahmubin Haibah C. · Reviewed 11 months ago

Daffa F. · Reviewed 11 months ago

Amolika B. · Reviewed 11 months ago

Muhammad Rizki C. · Reviewed 11 months ago

Christine Hutabarat C. · Reviewed 11 months ago

Rizma R. · Reviewed 11 months ago

Fanny F. · Reviewed 11 months ago

David K. · Reviewed 11 months ago

Oktonius Zevanya Simanungkalit C. · Reviewed 11 months ago

Muhamad Arya Al Ghifari Wibowo C. · Reviewed 11 months ago

Wahyu Rizqi A. · Reviewed 11 months ago

Rizal J. · Reviewed 11 months ago

Nugroho Adi C. · Reviewed 11 months ago

Ivan Adi Prayoga C. · Reviewed 11 months ago

Oktonius Zevanya Simanungkalit C. · Reviewed 11 months ago

Reggi F. · Reviewed 11 months ago

Muhamad Nuralam C. · Reviewed 11 months ago

Zainal Arifin Fadliansyah C. · Reviewed 11 months ago

Sofia R. · Reviewed 11 months ago

very satisfied

Rhein K. · Reviewed 11 months ago

Spent a ton of time troubleshooting issues with this lab. For one, in step 3 this command: "kubectl apply -n $GATEWAY_NS -f samples/gateways/istio-ingressgateway", needed to be this command: "kubectl apply -n $GATEWAY_NS -f samples/gateways/istio-ingressgateway/autoscalingv2", and not long after, this command "kubectl label namespace default istio-injection- istio.io/rev=$REVISION --overwrite" has a very easy to miss space between "injection" and "istio". Very aggravating, particularly when this is a graded lab for a course.

Matt R. · Reviewed 11 months ago

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