AWS Architecture Blog
Category: Storage
Architecting your security model in AWS for legacy application migrations
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 […]
Building a healthcare data pipeline on AWS with IBM Cloud Pak for Data
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, Part 2: simplify Snakemake launches
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, […]
Let’s Architect! Optimizing the cost of your architecture
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 […]
Optimize your modern data architecture for sustainability: Part 2 – unified data governance, data movement, and purpose-built analytics
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 […]
Deploying IBM Cloud Pak for integration on Red Hat OpenShift Service on AWS
Customers across many industries use IBM integration software, such as IBM MQ, DataPower, API Connect, and App Connect, as the backbone that integrates and orchestrates their business-critical workloads. These customers often tell Amazon Web Services (AWS), they want to migrate their applications to AWS Cloud, as part of their business strategy: to lower costs, gain […]
Optimize your modern data architecture for sustainability: Part 1 – data ingestion and data lake
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 […]
How USAA built an Amazon S3 malware scanning solution
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 […]
Deploying IBM Cloud Pak for Data on Red Hat OpenShift Service on AWS
Editor’s note, October 2024: This post is now obsolete. For the latest post, refer to Deploying IBM Cloud Pak for Data on Red Hat OpenShift Service on AWS. Amazon Web Services (AWS) customers who want to deploy and use IBM Cloud Pak for Data (CP4D) on the AWS Cloud, can use Red Hat OpenShift Service […]
A multi-dimensional approach helps you proactively prepare for failures, Part 2: Infrastructure layer
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 […]