In the rapidly evolving field of bioinformatics, the ability to transform research scripts into robust, scalable, and reproducible workflows is becoming increasingly critical. This article explores the journey of converting a simple Python script into a production-ready Nextflow workflow optimized for cloud execution environments like AWS HealthOmics.
The AWS Control Tower team has been shipping features at a blistering pace this year. Two stand-outs landed in May 2025:
One way to reduce cloud provisioning costs on Amazon Web Services (AWS) is by using spot instances. Spot instances are spare compute capacity on AWS that is available at a discounted price. By using spot instances, you can access the same types of EC2 instances as on-demand instances, but at a lower cost.
Serverless architectures are becoming increasingly popular as businesses seek to take advantage of the scalability, flexibility, and cost-efficiency of the cloud. One key design pattern for serverless architectures is the messaging fanout pattern, which can be implemented using Amazon Simple Notification Service (SNS).
The rise of cloud computing has fundamentally changed the way businesses and organizations operate, providing access to scalable and flexible computing resources on demand. As a result, designing and implementing effective cloud architectures has become a critical skill for IT professionals. In this article, we will explore the key principles and best practices for designing and implementing cloud architectures, with a focus on popular cloud providers such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform. We will also discuss the challenges and considerations involved in migrating to the cloud, and provide guidance for building robust and secure cloud architectures that can support your organization’s needs.
