In this blog post, we’ll show how you can run NVIDIA Parabricks on AWS Batch leveraging AWS CloudFormation templates. Parabricks is a GPU-accelerated tool for secondary genomic analysis. It reduces the runtime of variant calling on a 30x …
Read More
In this blog post, we help you understand the AWS Batch job termination process and how you may take actions to gracefully terminate a job by capturing SIGTERM signal inside the application. It provides you with an efficient way to exit …
Read More
The AWS Batch team recently added container insights and advanced logging features to the Batch console, which is making a LOT of people very happy. We decided to catch up with the dev team in Seattle who worked on this, and one of my …
Read More
Ampersand is a data-driven TV advertising technology company that provides aggregated TV audience impression insights and planning on 42 million households, in every media market, across more than 165 networks and apps and in all dayparts …
Read More
This post covers the different ways you can encode a dependency between basic and array jobs in AWS Batch. We also cover why you may want to encode dependencies outside of Batch altogether using a workflow system like AWS Step Functions or …
Read More
In this post, I cover some of the recent updates to AWS Batch, including improvements to job placement, addition of AWS PrivateLink support, and the new capabilities to update your AWS Batch compute environments. Read the Post on the AWS …
Read More
Matt Rasmussen, VP of Software Engineering at insitro, expands on his first post on redun, insitro’s data science tool for bioinformatics, to describe how redun makes use of advanced AWS features. Specifically, Matt describes how AWS …
Read More
Matt Rasmussen, VP of Software Engineering at insitro describes their recently released, open-source data science framework, redun, which allows data scientists to define complex scientific workflows that scale from their laptop to …
Read More