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

Charles S. · Reviewed about 3 years ago

Yutaro S. · Reviewed about 3 years ago

Michael M. · Reviewed about 3 years ago

Senzeyu Z. · Reviewed about 3 years ago

Rob S. · Reviewed about 3 years ago

Ismail S. · Reviewed about 3 years ago

Jean-Christophe B. · Reviewed about 3 years ago

Rafael G. · Reviewed about 3 years ago

Yaraslau K. · Reviewed about 3 years ago

The screenshot for serving from model ResNet50 is wrong, it shows a probability of 94% whereas it should be 45%. You correctly mentioned right afterward as a comment to the results that it'll show 45%, which is correct. So just use a screenshot with the correct probabilities. You also have a wrong line break in the command ``` kubectl label namespace default istio-injection- istio.io/rev=$REVISION --overwrite ``` It should be one line: ``` kubectl label namespace default istio-injection-istio.io/rev=$REVISION --overwrite ```

Mohamed N. · Reviewed about 3 years ago

Krzysztof K. · Reviewed about 3 years ago

Mitch Q. · Reviewed about 3 years ago

Mikail S. · Reviewed about 3 years ago

Sungwon H. · Reviewed about 3 years ago

Francisco J. · Reviewed about 3 years ago

Ali O. · Reviewed about 3 years ago

Gustavo B. · Reviewed about 3 years ago

Well structured - This lab has some esoteric concepts which make it harder but practice will make perfect.

Harvey S. · Reviewed about 3 years ago

Usama I. · Reviewed about 3 years ago

MARIO A. · Reviewed about 3 years ago

there are some errors while applying the 70% Resnet50 and 30% Resnet 100. Doesn't work as it's supposed to after this part of the lab.

Fernando D. · Reviewed about 3 years ago

Alesia B. · Reviewed about 3 years ago

Abdoulaye K. · Reviewed about 3 years ago

Vivek P. · Reviewed about 3 years ago

James G. · Reviewed about 3 years ago