Category: Storage

Launching and running genomics workflows can take hours and involves large pools of compute instances that process data at a petabyte scale. Benchmarking helps you evaluate workflow performance and discover faster and cheaper ways of running them. In practice, performance evaluations happen irregularly because of the associated heavy lifting. In this blog post, we discuss […]

Customers are adopting microservices architecture to build innovative and scalable applications on Amazon Web Services (AWS). These microservices applications are deployed across multiple AWS services, and customers are looking for comprehensive observability solutions that can help them effectively monitor and manage the performance of their applications in real-time. IBM Instana is a fully automated application […]

Amazon Web Services (AWS) customers using AWS Wickr who want to find a way to access their AWS Wickr Windows desktop client though a web browser, can use Amazon AppStream 2.0 to stream the application through to their users. Using this architecture, you can provide lightweight access to the AWS Wickr desktop client for users […]

Genomics workflows analyze data at petabyte scale. After processing is complete, data is often archived in cold storage classes. In some cases, like studies on the association of DNA variants against larger datasets, archived data is needed for further processing. This means manually initiating the restoration of each archived object and monitoring the progress. Scientists […]

Amazon Web Services (AWS) customers are deploying AWS Outposts as a fully managed solution that delivers AWS infrastructure and services to on-premises or edge locations for a truly consistent hybrid experience. Those hybrid cloud workloads can require highly available Oracle databases running on- or close-to premises. One way to meet this requirement is Oracle Real […]

Genomics workflows are high-performance computing workloads. Life-science research teams make use of various genomics workflows. With each invocation, they specify custom sets of data and processing steps, and translate them into commands. Furthermore, team members stay to monitor progress and troubleshoot errors, which can be cumbersome, non-differentiated, administrative work. In Part 3 of this series, […]

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 […]