Data Science Model Deployments and Cloud Computing on GCP - Lab - Deploy Python Application to Cloud Run

This video tutorial covers deploying a Python Flask application to Cloud Run using two methods: Docker image and direct source code deployment. It explains the setup of the application, including the use of BigQuery, and details the deployment commands and configurations. The video also highlights the differences between the two deployment approaches and provides a step-by-step guide to deploying the application on Google Cloud Platform.

What is Cloud Run and what type of applications does it manage?

Describe the two approaches to deploy an application to Cloud Run.

What is the purpose of the Docker image in the deployment process?

Explain how the second approach of deploying from source code works.

What are the main components of the Python application mentioned in the video?

How does the application handle the POST ID parameter in the URL?

What libraries are required in the requirements.txt file for the application?

What command is used to deploy the application to Cloud Run after pushing the image to GCR?

What does the command 'gcloud run deploy' do when deploying from source code?

What are the differences in deployment time between the two approaches discussed?