Managing Instance Volumes Using EBS
Description
Amazon Elastic Block Store (EBS) provides persistent block-level storage volumes for Amazon Elastic Compute Cloud (EC2) instances in the AWS Cloud. Each Amazon EBS volume is automatically replicated within its Availability Zone to protect you from component failure. This provides high availability and durability. Amazon EBS volumes offer the consistent, low-latency performance needed to run your workloads.
Learning how to manage the storage space of your EC2 instances using Amazon EBS will benefit anyone expecting to work with data-centric workloads in the public AWS cloud.
In this hands-on lab, you will learn how to launch an EC2 instance with an additional EBS volume. You will learn how to attach and detach an EBS to/from a specific EC2 instance and take a snapshot of an EBS volume. You will also learn how to mount and format an EBS volume in Linux.
Learning objectives
On completion of this beginner-level lab, you will be able to:
- Launch an Amazon EC2 instance with an additional EBS volume
- Create, attach, detach, and snapshot Amazon EBS volumes
- Mount an EBS volume and create a filesystem in Linux
Intended audience
- Anyone expecting to use Amazon EBS volumes in Amazon EC2
- DevOps Engineers
- Cloud Engineers
Prerequisites
Familiarity with the following will be beneficial but is not required:
- Amazon EC2
- Amazon EBS
- Linux filesystems
The following courses can be used to fulfill the prerequisites:
- Using Elastic Load Balancing & EC2 Auto Scaling to Support AWS Workloads
- Introduction to Amazon Elastic Block Store (EBS)
- Disk Management in Linux
Updates
February 5th, 2024 - Updated instructions and screenshots to reflect the latest user interface changes
December 22nd, 2022 - Updated the instructions and screenshots to reflect the latest UI, and updated lab to use EC2 instance connect
August 19th, 2019 - Updated the instructions of some of the lab steps to improve clarity
January 28th, 2019 - Updated the instructions and screenshots to improve clarity and to match the latest AWS experience
December 5th, 2018 - Added a validation lab step to check the work you perform in the lab