Working with Google Cloud Storage from the Console

Ready for the real environment experience?



Lab Overview

Cloud Storage is Google Cloud's enterprise-ready storage service for unstructured data. Examples of when you would use Cloud Storage include content storage and delivery, a data store for analytics and machine learning workloads, as well as storing backups and archives. Cloud Storage can:

  • Scale to store exabytes of data
  • Provide globally consistent access to data
  • Guarantee you 99.999999999% durability (basically no chance of losing data)

This Lab teaches you how to use Cloud Storage. Along the way, the Lab introduces you to all of the key concepts and trade-offs that you need to understand to work effectively with Cloud Storage. These include terminology, methods for organizing Cloud Storage data, cost and performance trade-offs, and security considerations. The Lab is performed using the Console web browser interface to Google Cloud. 

Lab Objectives

Upon completion of this Lab you will be able to:

  • Understand key concepts in Cloud Storage including buckets, objects, and storage classes
  • Create Cloud Storage buckets from the Console
  • Upload files to Cloud Storage, and use folders to organize objects in Cloud Storage
  • Use Identity and Access Management (IAM) or Access Control Lists (ACLs) to control access to Cloud Storage objects
  • Create Object Lifecycle Management rules to automatically perform actions on objects when certain conditions are met

Lab Prerequisites

This Lab has no prerequisites.

Environment before
Environment after

About the Author

Learning paths3

Logan has been involved in software development and research for over eleven years, including six years in the cloud. He is an AWS Certified DevOps Engineer - Professional, MCSE: Cloud Platform and Infrastructure, Google Cloud Certified Associate Cloud Engineer, and Certified Kubernetes Administrator (CKA). He earned his Ph.D. studying design automation and enjoys all things tech.