Manage Kubernetes in Google Cloud: Challenge Lab recensioni
22134 recensioni
Kamil Z. · Recensione inserita 10 giorni fa
경 민. · Recensione inserita 10 giorni fa
Yui K. · Recensione inserita 10 giorni fa
10
Caleb Isaí H. · Recensione inserita 10 giorni fa
BOPIT P. · Recensione inserita 11 giorni fa
Task 4 (Logs-based Metric & Alerting): [Status: Grader Issue] Action Taken: Successfully created a Logs-based Metric named pod-image-errors and an Alert Policy named Pod Error Alert. Verification: Confirmed the query textPayload:"InvalidImageName" was capturing logs. The Monitoring dashboard showed the alert "Firing" with a count of 5-6 incidents, crossing the threshold of 0. Impediment: Despite the metric and alert working perfectly in the GCP Console, the Lab Grader consistently returned 0/10 or 5/10, likely due to a strict metadata requirement for the Resource Type (Global vs. Kubernetes Pod) that didn't align with the automated check. Task 6 (Deployment v2 & Service): [Status: Grader/Sync Issue] Action Taken: Built and pushed the v2 image to Artifact Registry. Updated the helloweb deployment to use the v2 tag. Created a LoadBalancer service helloweb-service-34zz on port 8080. Verification: Running kubectl get pods confirmed the v2 image was Running (1/1). Running kubectl get endpoints showed the service was correctly mapped to the Pod's internal IP (10.60.x.x:8080). Impediment: The "Check My Progress" button failed to turn green. This is often caused by a delay in the Load Balancer's external IP propagation or a mismatch in the Grader's expected Label Selectors, even when the Kubernetes resources are technically correct.
pholavit C. · Recensione inserita 11 giorni fa
I was too stressed with the time limit. Hope it gets extended 30 more minutes
Sarvesh S. · Recensione inserita 11 giorni fa
Mohan Kumar G. · Recensione inserita 11 giorni fa
Alejandro V. · Recensione inserita 11 giorni fa
Tejpal A. · Recensione inserita 11 giorni fa
At the end of the lab, my GKE cluster entered provisioning status because us-central1-a likely ran out of resources. "Can't scale up due to the current unavailability of a Compute Engine resource, for example, GPUs or CPUs in the requested zone." I think you don't need to check the cluster status if all other checkpoints have been completed.
Nikita E. · Recensione inserita 11 giorni fa
Patanin P. · Recensione inserita 11 giorni fa
MUKUNDHAN C. · Recensione inserita 11 giorni fa
Mohan Kumar G. · Recensione inserita 11 giorni fa
Mohan Kumar G. · Recensione inserita 11 giorni fa
Alejandro V. · Recensione inserita 11 giorni fa
Panuts M. · Recensione inserita 11 giorni fa
Mohan Kumar G. · Recensione inserita 11 giorni fa
Mike T. · Recensione inserita 11 giorni fa
Nice Practice
Shivam V. · Recensione inserita 11 giorni fa
Chanatda K. · Recensione inserita 11 giorni fa
Kokiat K. · Recensione inserita 11 giorni fa
Mohd Dilshad K. · Recensione inserita 11 giorni fa
Deepak S. · Recensione inserita 11 giorni fa
Saw Wei F. · Recensione inserita 11 giorni fa
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