Orchestrating Multiple AWS HealthOmics Workflows at Scale
Industries Blog
This article discusses how to orchestrate and run multiple genomics analysis workflows in parallel using AWS serverless services like AWS Step Functions, AWS Lambda, and AWS HealthOmics.
Specifically, the article covers:
- The challenges in coordinating multiple high-level genomics analysis phases
- A modular and scalable serverless architecture for parallelizing AWS HealthOmics workflows
- Using AWS Step Functions and AWS Lambda to orchestrate workflow execution and monitoring
- Integration with both AWS HealthOmics Ready2Run (R2R) workflows and custom private workflows
- Key components like S3 buckets for data storage, AWS Lambda functions for workflow triggers and status checks, and nested Step Functions for modular workflow execution
- Conclusion highlighting the benefits of this approach for faster time-to-insight and innovation in genomics research
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