Atlassian faced a critical challenge when the storage solution hosting its Bitbucket platform’s 2.3 petabytes of data was being retired. To solve this, Atlassian joined forces with AWS Partner NetApp to migrate that data to an Amazon Web Services (AWS) storage service that used NetApp’s ONTAP file system. The migration was seamless, resulting in no discernable customer impact and no service disruptions. Within a one-month period, Atlassian successfully migrated 60 million repositories, achieving $2.1 million in annual cost savings and reducing application latency by 17 percent.
ScaleCapacity, an AWS Partner, collaborated with the City of Los Angeles Information Technology Agency (ITA) to create a new serverless secure file transfer protocol (SFTP) solution that runs on AWS Transfer Family. With this new solution, the ITA has simplified report downloading and sharing for its customers, eased employee onboarding and offboarding processes, and avoided spending hundreds of thousands of dollars on annual management and maintenance costs for a third-party managed SFTP solution.
ScaleCapacity, an AWS Partner, worked alongside the City of Los Angeles Information Technology Agency (ITA) to move a critical document management system to an Amazon wEB Services (AWS) serverless solution using services including Amazon S3 and AWS Backup. As a result, the ITA reduced its document management costs by 80 percent, lowered data replication time from 24 hours to 15 minutes, and scales on demand to store 500,000 additional data objects each year.
Managing high-performance file storage can be a significant operational and cost challenge for many organizations, especially those running compute-intensive workloads such as high-performance computing (HPC) or data analytics. This is particularly true for organizations with existing data lakes on Amazon S3 who need POSIX-compliant, high-performance file system access. Amazon FSx for Lustre provides a scalable, [...]
Dian Xu, Joel Hawkins, Alak Eswaradass, Sajjan AVS,
2025年2月21日
In this post, we share how we modernized Rocket Companies’ data science solution on AWS to increase the speed to delivery from eight weeks to under one hour, improve operational stability and support by reducing incident tickets by over 99% in 18 months, power 10 million automated data science and AI decisions made daily, and provide a seamless data science development experience.
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 [...]
In this post, we show you how to connect Amazon Q, a generative AI-powered assistant, to Amazon FSx for Windows File Server to securely analyze, query, and extract insights from your file system data.
Robert Wang, Elaine Zhao, Jaron Nix, JP Leger,
2025年2月14日
Healthcare providers collectively acquire billions of medical images each year, and each new image is subject to complex clinical and research workflows that are unique to each organization. New medical images are read, modified, and shared by a myriad of software systems and propagated to other downstream applications. This interoperability is made possible with the [...]