Data Science Model Deployments and Cloud Computing on GCP - Section Introduction

This video tutorial covers Docker, Cloud Run, and Cloud Build. It begins with an introduction to Docker, explaining its conceptual and practical applications. The tutorial then transitions to deploying applications using Cloud Run and understanding Cloud Build. Finally, it demonstrates continuous deployment using Cloud Run, Cloud Build, and GitHub. The video concludes with a brief thank you.

What is the primary purpose of using Docker in application development?

• To create virtual machines

• To manage databases

• To deploy and ship applications efficiently

• To design user interfaces

Which service is used to deploy applications in the cloud as mentioned in the video?

• Azure Functions

• Heroku

• AWS Lambda

• Cloud Run

What is Cloud Build primarily used for?

• To monitor application performance

• To build and test applications

• To manage cloud storage

• To design application interfaces

Which version control system is mentioned for use with Cloud Build in continuous deployment?

• Bitbucket

• Mercurial

• GitHub

• Subversion

What is the main benefit of continuous deployment as discussed in the video?

• Increased manual testing

• Faster release cycles

• Simplified user interface design

• Reduced server costs