AWS HealthOmics workflows now support call caching and intermediate file access

We are excited to announce that AWS HealthOmics workflows now support the ability to reuse task results from previous runs, saving time and compute costs for customers. AWS HealthOmics is a fully managed service that empowers healthcare and life science organizations to store, query, analyze omics data to generate insights to improve health and drive scientific discoveries. With this release, customers can accelerate development of new pipelines by resuming runs from a previous point of failure or code change.

Call caching, or the ability to resume runs, enables customers to restart runs from the point where new code changes are introduced, skipping unchanged tasks that have already been computed to enable faster iterative workflow development cycles. In addition, task intermediate files are stored in a run cache, enabling advanced debugging and troubleshooting of workflow errors during development. In production workflows, call caching saves partial results from failed runs so that customers can rerun the sample from the point of failure, rather than computing successfully completed tasks again, shortening reprocessing times.

Call caching is now supported for Nextflow, WDL, and CWL workflow languages in all regions where AWS HealthOmics is available: US East (N. Virginia), US West (Oregon), Europe (Frankfurt, Ireland, London), Asia Pacific (Singapore), and Israel (Tel Aviv). To get started with call caching, see the AWS HealthOmics documentation.