Running compute workloads on AWS allows for virtually unlimited infrastructure that offers scaling and agility not achievable on-premises. It also provides a rich set of instance types, orchestration, automation, and networking and visualization solution. In addition, it allows for quick iteration and reduced time to results. In today’s article, we will discuss the benefits of Amazon FSx for Lustre. Read on!
What is Amazon FSx for Lustre?
Amazon FSx for Lustre allows for processing a high volume of data in the cloud. It enables you to link your S3 data set to your FSx for Lustre file system, allowing you to store data in Amazon S3 and load the Amazon FSx for processing.
The output of processing returns to S3 for retention. You can delete the file system when your workload finishes. On the other hand, you can keep the file system and run it for long-lived workloads.
Benefits of Amazon FSx
Amazon FSx for Lustre offers fast processing with 100 GB per second throughput and sub-millisecond latencies. You can also use it to perform deep integration with S3 for streamlined data management. Amazon FSX offers flexible data and lower TCO procession options for short-term and long-term, leading to cost-optimization for data processing. The benefits include:
- Cost-effective
- Process a portion of a dataset at one time
- Store data for long-term in low cost
- Spin up and spin down in minutes with scratch file systems
- Amazon S3 or on-premises capabilities
- No request costs for accessing data repeatedly
Amazon FSx for Lustre has numerous applications, including high-performance computing (HPC), machine learning, big data analytics, media rendering and transcoding, electronic design automation, oil, and gas seismic processing, financial modelling, and autonomous systems training, to name a few.
High-Performance Parallel File System
FSx for Lustre is a high-performance parallel file system. Although Lustre is a powerful tool, many IT teams find it challenging to implement and manage. However, Lustre as an Amazon managed service leads to high performance, more accessible input/output, and user-friendliness, particularly for companies that start with data analysis.
Shared Storage over TCP and UDP
FSX for Lustre is a parallel file system that shares various similarities with the NFS4 system. However, it is pretty different when you require scaling. It uses a client to access shared storage over TCP or UDP.
Lustre can negotiate higher input-output and more connections than NFS over TCP/IP. FSx can scale and support a high volume of files and manage metadata. Because the metadata and asset request in Lustre are independent, they are a more preferred solution for HPC systems.
Create a File System Easily
When you use the Amazon FSx for Lustre, you can create file systems efficiently. The file systems sit in front of part or all of the S3 buckets. It takes a short time for Lustre to “read” and “analyze” the content. Likewise, it uses the Import-Path to read the associated metadata within buckets. As a result, it presents the data in a file structure.
In addition, it copies the object data from the bucket when needed. You use security groups to manage access control. Another benefit of Amazon FSx for Lustre is that it is PCI and HIPPA compliant. You can also use Cloud Watch for performance reporting, allowing you to analyze performance metrics and streamline your operations.
