AWS Architecture Blog

Category: AWS Step Functions

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 […]

Figure 7. Final optimized architecture

Use direct service integrations to optimize your architecture

When designing an application, you must integrate and combine several AWS services in the most optimized way for an effective and efficient architecture: Optimize for performance by reducing the latency between services Optimize for costs operability and sustainability, by avoiding unnecessary components and reducing workload footprint Optimize for resiliency by removing potential point of failures […]

Solution architecture for multi-language notification system. It includes all the AWS services that are required in this solution. The flow is described as follows.

Build a multi-language notification system with Amazon Translate and Amazon Pinpoint

Organizations with global operations can struggle to notify their customers of any business-related announcements or notifications in different languages. Their customers want to receive notifications in their local language and communication preference. Organizations often rely on complicated third-party services or individuals to manually translate the notifications. This can lead to a loss of revenue due […]

Figure 1 – Architecture showing the AWS Step Functions Workflow to stop services

Optimize Cost by Automating the Start/Stop of Resources in Non-Production Environments

Co-authored with Nirmal Tomar, Principal Consultant, Infosys Technologies Ltd. Ease of creating on-demand resources on AWS can sometimes lead to over-provisioning or under-utilization of AWS resources like Amazon EC2 and Amazon RDS. This can lead to higher costs that can often be avoided with proper planning and monitoring.  Non-critical environments, like development and test are […]

Figure 3. Choreography monitoring with AWS Step Functions

Use AWS Step Functions to Monitor Services Choreography

Organizations frequently need access to quick visual insight on the status of complex workflows. This involves collaboration across different systems. If your customer requires assistance on an order, you need an overview of the fulfillment process, including payment, inventory, dispatching, packaging, and delivery. If your products are expensive assets such as cars, you must track […]

Figure 6. Using Step Functions as workflow state manager

Migrating a Database Workflow to Modernized AWS Workflow Services

The relational database is a critical resource in application architecture. Enterprise organizations often use relational database management systems (RDBMS) to provide embedded workflow state management. But this can present problems, such as inefficient use of data storage and compute resources, performance issues, and decreased agility. Add to this the responsibility of managing workflow states through […]