Data Science Model Deployments and Cloud Computing on GCP - Lab - Set Up Alerting for Cloud-Run Applications

The video tutorial guides viewers through deploying a Cloud Run application, monitoring its CPU and memory utilization, and creating dashboards and alerts in Google Cloud Platform (GCP). It explains how to set alert policies and test the application by overloading it with requests to observe alert triggers. The tutorial emphasizes understanding metrics and setting up monitoring tools effectively.

What is the purpose of deploying the application on Cloud Run?

Explain the difference between CPU utilization and memory utilization.

What steps are involved in creating a monitoring dashboard for the application?

What is the significance of the 99th percentile in monitoring metrics?

How do you set up an alert for memory utilization in Cloud Run?

What should you do if you do not see any data in your alerting policy?

Describe the process of testing the Cloud Run application with a Python script.