Recently, the popularity of containerized applications has been exploding. That is because containerizing an application offers a lot of advantages such as portability, the possibility to have multiple different containerized applications running simultaneously, and hardware platform independence. The most common and most used container engine is Docker. In this lab, you will create a Python application and you will create a Dockerfile that specifies how to build the Docker image. You will then containerize the application and create a Docker image that will be stored in the Container Registry. You will then deploy the Docker image on a Compute Engine instance that will run your container application. The Compute Engine instance runs a particular Google OS named container-optimized OS. It's been designed and developed by Google and it's the best choice if you want to run containers on your VM. If you want more information about this OS, follow this link.

Learning Objectives

Upon completion of this lab you will be able to:

• Create an application and build a Docker image that represents it
• Deploy a container application to a Google Compute Engine instance
• Allow public traffic to the container application

Intended Audience

This lab is intended for:

• Google Cloud Professional Cloud Developer (PCD) certification candidates
• Individuals who want to improve their skills with container application deployment
• Solutions architects who want to migrate their existing applications into containers

Prerequisites

Basic knowledge of Docker is a plus but it is not required.