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. 

Updates

October 27th, 2022 - Updated screenshots and instructions due to outdated UI

February 28th, 2022 - Updated the instructions and screenshots to reflect the latest UI

May, 14th 2020 - Lab content has been updated due to the new Archive storage class offered by GCP

Sept. 8th, 2019 - Lab content updated to reflect the latest Google Cloud Storage Console experience and changes to storage classes

July 3rd, 2019 - Inserted the custom validation checks lab step