AWS Storage Blog
Author: Tom McDonald
Tom McDonald is a Senior Workload Storage Specialist at AWS. Starting with an Atari 400 and re-programming tapes, Tom began a long interest in increasing performance on any storage service. With 20 years of experience in the Upstream Energy domain, file systems and High-Performance Computing, Tom is passionate about enabling others through community and guidance.
Unlock higher performance for file system workloads with scalable metadata performance on Amazon FSx for Lustre
Imagine a company like a movie studio, one that works with enormous volumes of video files, scripts, and animation assets. They store these files on a high-performance file system such as Amazon FSx for Lustre, a fully managed shared storage built on the world’s most popular high-performance file system. Each file has metadata, such as […]
Automating Amazon FSx for NetApp ONTAP password rotation with AWS Lambda
Data security is a top priority for customers using AWS cloud services. Based on customer input, AWS has “designed-in” methods enabling customers to automate common security workflows such as password rotation. The principals of this automation follows the AWS Well-Architected Framework which helps cloud architects build secure, high-performing, resilient, and efficient infrastructure for a variety […]
Optimizing MMAP workloads on Amazon FSx for Lustre file systems
One of the primary benefits of using memory mapping (MMAP) in applications is saving memory on the client, sharing data amongst multiple threads and processes, and reducing file system impact to the application. Users are constantly looking for ways to improve application performance, and often this means diving deep into their workloads’ storage profiles to […]
Enhance your upstream workloads with Amazon FSx for NetApp ONTAP
Geological and Geophysical (G&G) workloads in Upstream Energy have different workflows associated with them, including Reservoir Simulation, Subsurface Interpretation, and Drilling and Completions. Due to the diverse performance and client requirements of these workflows, organizations often face a heavy operational burden of copying their data to multiple solutions for different protocols. Until recently, they faced […]