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

This video tutorial guides viewers through creating a monitoring dashboard and alert system for an application deployed on Google App Engine. It covers deploying the application, setting up a monitoring dashboard to track response latency, and creating alert policies to notify via email when certain conditions are met. The tutorial also includes testing the setup using a Python script to simulate application requests and verify the alert system.

What is the purpose of the Python Big Query Simple application mentioned in the video?

• To manage user authentication

• To process large datasets in real-time

• To accept a parameter from the URL and fetch data from Big Query

• To perform complex data analysis

Which metric is crucial for monitoring in the dashboard setup?

• Disk I/O

• Response latency

• Memory consumption

• CPU usage

What aggregator is used for the response latency metric in the dashboard?

• Mean

• Sum

• Maximum

• Minimum

Which notification channel is configured for alerting in the video?

• SMS

• Webhook

• Slack

• Email

What is the threshold value set for triggering an alert based on response latency?

• 1000 milliseconds

• 2000 milliseconds

• 500 milliseconds

• 100 milliseconds

What does the Python script do to test the alert system?

• It generates random data for analysis

• It simulates user login attempts

• It repeatedly calls the application endpoint

• It sends emails to test notification channels

Where should you check if you do not receive the alert email in your inbox?

• Trash folder

• Drafts folder

• Spam folder

• Sent folder