AWS Architecture Blog
Category: Compute
Let’s Architect! Architecting for sustainability
Sustainability is an important topic in the tech industry, as well as society as a whole, and defined as the ability to continue to perform a process or function over an extended period of time without depletion of natural resources or the environment. One of the key elements to designing a sustainable workload is software […]
Decreasing incident response time for OutSystems with AWS serverless technology
Leading modern application platform space OutSystems is a low-code platform that provides tools for companies to develop, deploy, and manage omnichannel enterprise applications. Security is a top priority at OutSystems. Their Security Operations Center (SOC) deals with thousands of incidents a year, each with a set of response actions that need to be executed as […]
Text analytics on AWS: implementing a data lake architecture with OpenSearch
Text data is a common type of unstructured data found in analytics. It is often stored without a predefined format and can be hard to obtain and process. For example, web pages contain text data that data analysts collect through web scraping and pre-process using lowercasing, stemming, and lemmatization. After pre-processing, the cleaned text is […]
Streaming the AWS Wickr desktop client with Amazon AppStream 2.0
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, Part 4: processing archival data
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 […]
Deploying Oracle RAC in AWS Outposts via FlashGrid Cluster
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 […]
An elastic deployment of Stable Diffusion with Discord on AWS
Stable Diffusion is a state-of-the-art text-to-image model that generates images from text. Deploying text-to-image models such as Stable Diffusion can be difficult. Currently, Stable Diffusion requires specific computer hardware known as graphical processing units (GPUs). You can lower the bar to entry by offloading the text-to-image generation onto Amazon Web Services (AWS). Discord is a […]
Genomics workflows, Part 3: automated workflow manager
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, […]
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, […]