- Lab
- Cloud
Managing AWS S3 Lifecycle and Glacier Integration with Terraform
In this lab learners will learn how to use S3 lifecycle policies to transition data objects to different levels of storage based on their access frequency. Doing this frees up company storage space and can potentially save the company thousands of dollars by moving data objects to cheaper storage options automatically. In particular learners will get practice using terraform to automate the creation of S3 buckets with an associated lifecycle policy to move data to Amazon’s long term data retrieval storage, Amazon S3 Glacier.
Path Info
Table of Contents
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Challenge
Creating Amazon S3 buckets
Use terraform to create a S3 bucket to store data
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Challenge
Creating S3 lifecycle policies
Use terraform to create a S3 Lifecycle policy for automated data transitioning to Amazon Glacier after a specified amount of time.
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Challenge
Verifying the lifecycle policy
Use the AWS console to review the created S3 bucket and lifecycle policy using the management tab.
What's a lab?
Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.
Provided environment for hands-on practice
We will provide the credentials and environment necessary for you to practice right within your browser.
Guided walkthrough
Follow along with the author’s guided walkthrough and build something new in your provided environment!
Did you know?
On average, you retain 75% more of your learning if you get time for practice.