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

Fernando C. · Reviewed over 3 years ago

ABDELRAHMAN M. · Reviewed over 3 years ago

Mahendra P. · Reviewed over 3 years ago

check assessment button worked only after a few clicks although the task was done. The deployments never turned to ready.

Arina C. · Reviewed over 3 years ago

Bart D. · Reviewed over 3 years ago

Arthur B. · Reviewed over 3 years ago

Ruben A. · Reviewed over 3 years ago

Hải N. · Reviewed over 3 years ago

In Task 6, deployment is not updating to 1/1. Pod is in Crashloopbackoff.

Siddesh A. · Reviewed over 3 years ago

Siddesh A. · Reviewed over 3 years ago

Harish F. · Reviewed over 3 years ago

Hahm T. · Reviewed over 3 years ago

Mohammed A. · Reviewed over 3 years ago

SANG K. · Reviewed over 3 years ago

sailin p. · Reviewed over 3 years ago

Agialdi D. · Reviewed over 3 years ago

saad a. · Reviewed over 3 years ago

Arnab C. · Reviewed over 3 years ago

Ricardo Y. · Reviewed over 3 years ago

Chaitanya D. · Reviewed over 3 years ago

Giannis K. · Reviewed over 3 years ago

only issue was that we got this message student_03_2aac2843b676@cloudshell:~/tfserving-canary (qwiklabs-gcp-01-808ea5db7996)$ curl -d @payloads/request-body.json -X POST http://$GATEWAY_URL/v1/models/image_classifier:predict no healthy upstreamstudent_03_2aac2843b676@cloudshell:~/tfserving-canary (qwiklabs-gcp-01-808ea5db7996)$ therefore, we couldn't verify our work by getting actual results

Theocharis T. · Reviewed over 3 years ago

Galina B. · Reviewed over 3 years ago

Alexandre L. · Reviewed over 3 years ago

Marcelo da Silva P. · Reviewed over 3 years ago