Optimizing data transfers for high throughput life science instruments using AWS DataSync

This article explores how healthcare and life sciences (HCLS) organizations can optimize data transfers from high-throughput laboratory instruments to AWS using AWS DataSync, addressing the challenges of moving large volumes of scientific data to the cloud.

• Key evaluation criteria include lab operations, instrument duty cycles, and IT infrastructure
• Two primary DataSync transfer patterns are discussed: push (recommended) and pull architectures
• Testing showed optimal data transfer strategies using multiple DataSync agents
• Factors like network bandwidth, burst credits, and Direct Connect are critical for efficient transfers
• DataSync provides secure, compressed data movement with options for different laboratory sizes and data volumes

The goal is to help HCLS organizations seamlessly transfer large datasets from laboratory instruments to AWS, enabling faster scientific insights and research advancements.