[DEPRECATED] TFX on Cloud AI Platform Pipelines Reviews

Check my progress not working for task 5 even after completing the tasks.

Kesavan N. · Reviewed over 2 years ago

Some Issues

Yazeed P. · Reviewed over 2 years ago

progress not updating even after executing the steps mentioned.

Anand R. · Reviewed over 2 years ago

Doesn`' work

Ivan R. · Reviewed over 2 years ago

pravalika a. · Reviewed over 2 years ago

I couldnt finish the lab because after creating kubwflow service, the corresponding pipeline dissapeared

Jarmi R. · Reviewed over 2 years ago

For anyone having trouble with getting the endpoint, execute the following code in cloud shell to get the endpoint after successfully deploying the pipeline(make any necessary changes): gcloud container clusters \ get-credentials CLUSTER_NAME \ --zone ZONE --project \ YOUR_PROJECT_ID kubectl describe configmap inverse-proxy-config -n default | grep googleusercontent.com

Daniel R. · Reviewed over 2 years ago

I still have lots of errors , I could find the solution and update the TFX version a bit

atoosa b. · Reviewed over 2 years ago

run into the quota error below that i was unable to clear. Google Compute Engine: Not all instances running in IGM after 34m36.491282061s. Expected 3, running 0, transitioning 3. Current errors: [GCE_STOCKOUT]: Instance 'gke-cluster-1-default-pool-b8f891d3-3s8t' creation failed: The zone 'projects/qwiklabs-gcp-03-b2b1417de471/zones/us-central1-a' does not have enough resources available to fulfill the request. Try a different zone, or try again later.; [GCE_STOCKOUT]: Instance 'gke-cluster-1-default-pool-b8f891d3-jwdr' creation failed: The zone 'projects/qwiklabs-gcp-03-b2b1417de471/zones/us-central1-a' does not have enough resources available to fulfill the request. Try a different zone, or try again later.; [GCE_QUOTA_EXCEEDED]: Instance 'gke-cluster-1-default-pool-b8f891d3-k39t' creation failed: Quota 'SSD_TOTAL_GB' exceeded. Limit: 500.0 in region us-central1.

Bernie O. · Reviewed over 2 years ago

run into the quota error below that i was unable to clear. Google Compute Engine: Not all instances running in IGM after 34m36.491282061s. Expected 3, running 0, transitioning 3. Current errors: [GCE_STOCKOUT]: Instance 'gke-cluster-1-default-pool-b8f891d3-3s8t' creation failed: The zone 'projects/qwiklabs-gcp-03-b2b1417de471/zones/us-central1-a' does not have enough resources available to fulfill the request. Try a different zone, or try again later.; [GCE_STOCKOUT]: Instance 'gke-cluster-1-default-pool-b8f891d3-jwdr' creation failed: The zone 'projects/qwiklabs-gcp-03-b2b1417de471/zones/us-central1-a' does not have enough resources available to fulfill the request. Try a different zone, or try again later.; [GCE_QUOTA_EXCEEDED]: Instance 'gke-cluster-1-default-pool-b8f891d3-k39t' creation failed: Quota 'SSD_TOTAL_GB' exceeded. Limit: 500.0 in region us-central1.

Bernie O. · Reviewed over 2 years ago

no worky. cluster never finished deploing, certainly not in 3-5 minr

Will H. · Reviewed over 2 years ago

Rhon Joshua C. · Reviewed over 2 years ago

I think this lab is in transition phase.

Saeed E. · Reviewed over 2 years ago

Narayanaswami b. · Reviewed over 2 years ago

Caution. No endpoint created. Waste of time. AI platform now deprecated.

R M. · Reviewed over 2 years ago

can't find the Endpoint to AI Platform Pipeline instance

Susan F. · Reviewed over 2 years ago

Completed the lab 2 times still the status is not marked green.

Vijay S. · Reviewed over 2 years ago

YOU HAVE DECOMMISSIONED AI PLATFORM PIPELINES. Fix these labs - they don't work.

Holger M. · Reviewed over 2 years ago

Ken G. · Reviewed over 2 years ago

have to use us-central1-b for this to work, The install file uses use-central1-a.

Jennifer M. · Reviewed over 2 years ago

Provisioning of Kubeflow Pipeline does not work

Gerlando R. · Reviewed over 2 years ago

Jose R. · Reviewed over 2 years ago

none of the components in AI platform works pathetic experience

sunny s. · Reviewed over 2 years ago

This lab is a huge waste of time... Creating the cluster for the Kubeflow pipeline takes forever (20-30mn), and even when it is created the pipeline doesn't appear in AI Platform...

Josselin S. · Reviewed over 2 years ago