As a fully managed service, Amazon FSx for Lustre enables you to run high performance Lustre file systems for any workload where storage speed matters. Amazon FSx for Lustre is used for workloads such as machine learning, high performance computing (HPC), video processing, and financial modeling. In this self-paced course, you learn how to get started with Amazon FSx for Lustre. You discover its benefits, common use cases, how to set up Amazon FSx for Lustre, and how to monitor your file system. Video demonstrations guide you through creating and monitoring your Amazon FSx for Lustre file system. Finally, you review the cost model associated with using Amazon FSx for Lustre.
• Course level: Intermediate
• Duration: 100 minutes
Activities
This course includes reading modules and video demonstrations.
Course objectives
In this course, you will learn to:
• List the key benefits of and use cases for FSx for Lustre
• Describe the differences between using FSx for Lustre and a do-it-yourself (DIY) parallel file system
• Explain the pricing model for FSx for Lustre
• List the prerequisites for deploying FSx for Lustre
• Set up the FSx for Lustre file system using the quick-start process
• Describe and view the key metrics collected by Amazon CloudWatch
Intended audience
This course is intended for:
• Storage engineers
• Cloud architects
• Operations administrators
• Systems administrators
Prerequisites
We recommend that attendees of this course have:
• Completed Introduction to Amazon FSx for Lustre
Course outline
Introduction to Amazon FSx for Lustre
• Introduction to FSx for Lustre
• Use cases
• FSx for Lustre technical overview
• Pricing model
Deployment Considerations
• Prerequisites for using FSx for Lustre
• Security considerations
Deploying Amazon FSx for Lustre
• Demonstration: Deploying FSx for Lustre
Monitoring Amazon FSx for Lustre
• Monitoring an FSx for Lustre file system
• Demonstration: Monitoring FSx for Lustre performance
Knowledge Check
• Knowledge check
Resources, Survey, and Feedback
• Additional resources
• Thank you and feedback
