Amazon Elastic File System (Amazon EFS) provides a simple, serverless, set-and-forget elastic file system for use with AWS Cloud services and on-premises resources. It is built to scale on demand to petabytes without disrupting applications, growing and shrinking automatically as you add and remove files, eliminating the need to provision and manage capacity to accommodate growth.
Organizations face significant challenges when modernizing or moving their applications to the cloud when they require a shared persistent file system interface. In this course, you learn to manage, monitor and optimize your Amazon EFS file system. You’ll learn about performance monitoring and optimization. You also explore specialized AWS services, including AWS Backup and Amazon CloudWatch.
- Course level: Advanced
- Duration: 55 minutes
Activities
This course includes interactive lessons, demonstrations, and knowledge check questions.
Course objectives
In this course, you will learn to:
- Manage Amazon EFS file system throughput.
- Monitor Amazon EFS file systems including overall system health and performance.
- Protect an Amazon EFS file system data through the use of the AWS Backup service.
- Monitor an Amazon EFS file systems including overall system health, performance and burst credit balances.
- Optimize cost and performance in accordance with standard best practices.
Intended audience
This course is intended for:
- Cloud Architects
- Storage Administrators
- Application Developers
- Data Scientists
Prerequisites
We recommend that attendees of this course have:
- Amazon EFS Primer
- General AWS knowledge (Cloud Practitioner Essentials)
- Knowledge of Amazon EC2 and virtualization
Course outline
Course Overview
Section 1: Managing and Monitoring Your EFS File Shares
- Lesson 1: Introduction to Managing and Monitoring
- Lesson 2: Understanding Amazon EFS Throughput Performance
- Lesson 3: Monitoring Amazon EFS with Amazon CloudWatch
- Lesson 4: Implementing Data Retention Policies and Backups
Section 2: Cost and Performance Optimization
- Lesson 1: Introduction to Optimization
- Lesson 2: Cost Optimization
- Lesson 3: Performance Optimization
Knowledge Check
Resources and Feedback