Learn the optimal approach to deploying a containerized application on Google Cloud while minimizing infrastructure and operational overhead. Find out why deploying to Cloud Run is often the best choice.
Table of Contents
Question
You work for an ecommerce company. Your company is migrating multiple applications to Google Cloud, and you are assisting with the migration of one of the applications. The application is currently deployed on a VM without any OS dependencies. You have created a Dockerfile and used it to upload a new image to Artifact Registry. You want to minimize the infrastructure and operational complexity. What should you do?
A. Deploy the image to Cloud Run.
B. Deploy the image to a GKE Autopilot cluster.
C. Deploy the image to a GKE Standard cluster.
D. Deploy the image to a Compute Engine instance.
Answer
A. Deploy the image to Cloud Run.
Explanation
Cloud Run is a fully managed serverless platform for running stateless containers. It abstracts away the underlying infrastructure, so you don’t have to provision or manage any servers, clusters, or other resources. Simply push your container image to Artifact Registry and deploy it to Cloud Run. The platform automatically scales your application up and down based on incoming requests, and you only pay for the resources used during request processing.
This serverless approach minimizes infrastructure overhead and operational complexity compared to the other options:
- Deploying to a Compute Engine VM (D) would require you to manage the VM instance, including OS and runtime dependencies, security patching, scaling, etc.
- Using Google Kubernetes Engine (B or C) reduces some operational burden but still involves complex infrastructure to provision and manage the GKE clusters. The Autopilot mode (B) makes this easier than Standard (C) but is not as simple as Cloud Run.
So in summary, for a stateless application that is already Dockerized and has no OS dependencies, deploying the container image to Cloud Run (A) will provide a highly scalable and available environment with the least amount of infrastructure and operational overhead. It’s the simplest way to get your containerized application up and running in production on Google Cloud.
Google Professional Cloud Developer certification exam assessment practice question and answer (Q&A) dump including multiple choice questions (MCQ) and objective type questions, with detail explanation and reference available free, helpful to pass the Google Professional Cloud Developer exam and earn Google Professional Cloud Developer certification.