Data Science Model Deployments and Cloud Computing on GCP - Cloud Run Application Scalability Parameters

The video tutorial covers key parameters for deploying applications on Cloud Run, including concurrency, CPU utilization, and instance management. It explains how to manage minimum and maximum instances, platform options, and timeout settings. The tutorial also discusses scaling behavior, request queuing, and monitoring metrics for performance. Finally, it provides recommendations for further learning on auto-scaling and concurrency in Cloud Run.

What is the default maximum number of concurrent requests allowed per container instance in Cloud Run?

• 100

• 50

• 80

• 1000

Which of the following is NOT a platform option for deploying applications on Cloud Run?

• Docker

• Kubernetes

• GKE

• Managed

What happens to incoming requests if the maximum instance limit is reached in Cloud Run?

• They are processed with a delay.

• They are immediately rejected.

• They are queued for 10 seconds.

• They are redirected to another service.

How long does Cloud Run keep idle instances before shutting them down to minimize cold start impact?

• 10 minutes

• 5 minutes

• 20 minutes

• 15 minutes

Which metric indicates the total number of incoming requests handled by a Cloud Run application?

• Container instance count

• CPU utilization

• Request latency

• Request count

What does 'container startup latency' measure in Cloud Run metrics?

• Time taken for a request to be processed

• Time taken for a new instance to start

• Time taken for an instance to shut down

• Time taken for data to be sent

Which metric should you monitor to understand if there was a spike in resource usage in Cloud Run?

• Send bytes

• CPU utilization

• Container startup latency

• Request count