Category: Amazon Simple Storage Service (S3)

Application migrations, especially from legacy/mainframe to the cloud, are done in phases that sometimes span multiple years. Each phase migrates a set of applications, data, and other resources to the cloud. During the transition phases, applications might require access to both on-premises and cloud-based resources to perform their function. While working with our customers, we […]

Healthcare data is being generated at an increased rate with the proliferation of connected medical devices and clinical systems. Some examples of these data are time-sensitive patient information, including results of laboratory tests, pathology reports, X-rays, digital imaging, and medical devices to monitor a patient’s vital signs, such as blood pressure, heart rate, and temperature. […]

Genomics workflows are high-performance computing workloads. In Part 1 of this series, we demonstrated how life-science research teams can focus on scientific discovery without the associated heavy lifting. We used regenie for large genome-wide association studies. Our design pattern built on AWS Step Functions with AWS Batch and Amazon FSx for Lustre. In Part 2, […]

Written in collaboration with Ben Moses, AWS Senior Solutions Architect, and Michael Holtby, AWS Senior Manager Solutions Architecture Designing an architecture is not a simple task. There are many dimensions and characteristics of a solution to consider, such as the availability, performance, or resilience. In this Let’s Architect!, we explore cost optimization and ideas on […]

In the first part of this blog series, Optimize your modern data architecture for sustainability: Part 1 – data ingestion and data lake, we focused on the 1) data ingestion, and 2) data lake pillars of the modern data architecture. In this blog post, we will provide guidance and best practices to optimize the components […]

The modern data architecture on AWS focuses on integrating a data lake and purpose-built data services to efficiently build analytics workloads, which provide speed and agility at scale. Using the right service for the right purpose not only provides performance gains, but facilitates the right utilization of resources. Review Modern Data Analytics Reference Architecture on […]

United Services Automobile Association (USAA) is a San Antonio-based insurance, financial services, banking, and FinTech company supporting millions of military members and their families. USAA has partnered with Amazon Web Services (AWS) to digitally transform and build multiple USAA solutions that help keep members safe and save members money and time. Why build a S3 […]

Distributed applications resiliency is a cumulative resiliency of applications, infrastructure, and operational processes. Part 1 of this series explored application layer resiliency. In Part 2, we discuss how using Amazon Web Services (AWS) managed services, redundancy, high availability, and infrastructure failover patterns based on recovery time and point objectives (RTO and RPO, respectively) can help in […]

Many organizations have applications distributed across various business units. Teams in these business units may develop their applications independent of each other to serve their individual business needs. Applications can reside in a single Amazon Web Services (AWS) account or be distributed across multiple accounts. Applications may be deployed to a single AWS Region or […]

Customers with mainframes want to use Amazon Web Services (AWS) to increase agility, maximize the value of their investments, and innovate faster. On June 8, 2022, AWS announced the general availability of AWS Mainframe Modernization, a new service that makes it faster and simpler for customers to modernize mainframe-based workloads. In this post, we discuss […]