AWS Architecture Blog

Category: AWS Step Functions

Let's Architect

Let’s Architect! Designing serverless solutions

During his re:Invent 2022 keynote, Werner Vogels, AWS Vice President and Chief Technology Officer, emphasized the asynchronous nature of our world and the challenges associated with incorporating asynchronicity into our architectures. AWS serverless services can help users concentrate on the asynchronous aspects of their workloads, easing the execution of event-driven architectures and enabling the adoption […]

Invoking Asynchronous External APIs architecture

Invoking asynchronous external APIs with AWS Step Functions

External vendor APIs can help organizations streamline operations, reduce costs, and provide better services to their customers. But many challenges exist in integrating with third-party services such as security, reliability, and cost. Organizations must ensure their systems can handle performance issues or downtime. In some cases, calling an external API may have associated costs such […]

Automated benchmarking of genomics workflows

Genomics workflows, Part 5: automated benchmarking

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 […]

Solution architecture for Snakemake with Tibanna on AWS

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, […]

Solution overview for automating regenie workflows on AWS

Genomics workflows, Part 1: automated launches

Genomics workflows are high-performance computing workloads. Traditionally, they run on-premises with a collection of scripts. Scientists run and manage these workflows manually, which slows down the product development lifecycle. Scientists spend time to administer workflows and handle errors on a day-to-day basis. They also lack sufficient compute capacity on-premises. In Part 1 of this series, […]

Application coordination across accounts and single AWS Region

Coordinating large messages across accounts and Regions with Amazon SNS and SQS

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 […]

Overview of USAA architecture automation workflow to manage AWS account metadata

How to track AWS account metadata within your AWS Organizations

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 an AWS […]

Asynchronous architecture for batch resampling for call-recording files on Amazon S3

Serverless architecture for optimizing Amazon Connect call-recording archival costs

In this post, we provide a serverless solution to cost-optimize the storage of contact-center call recordings. The solution automates the scheduling, storage-tiering, and resampling of call-recording files, resulting in immediate cost savings. The solution is an asynchronous architecture built using AWS Step Functions, Amazon Simple Queue Service (Amazon SQS), and AWS Lambda. Amazon Connect provides an […]

High-level architecture pattern for automating resilience assessments

Continually assessing application resilience with AWS Resilience Hub and AWS CodePipeline

As customers commit to a DevOps mindset and embrace a nearly continuous integration/continuous delivery model to implement change with a higher velocity, assessing every change impact on an application resilience is key. This blog shows an architecture pattern for automating resiliency assessments as part of your CI/CD pipeline. Automatically running a resiliency assessment within CI/CD […]