Using AWS Batch and AWS Step Functions to Design and Run High-Throughput Workflows


Using AWS Batch and AWS Step Functions to Design and Run High-Throughput Workflows


Many industries need to elastically provision resources in order to process data at scale. AWS Batch enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS. You can create a state machine to reliably orchestrate your batch workflow at scale using AWS Step Functions. In this webinar, we will dive into key architectural considerations for all layers of your multi-step batch workflows. We will present an architecture using AWS Batch and AWS Step Functions which fully manages the selection and efficient provisioning of compute resources and the execution of your workflows so that you can focus on the application and corresponding analytics.

When: September 14 | 12:00 PM - 12:40 PM PT | 3:00 PM - 3:40 PM ET

Learning Objectives:
• How to simply scale out your batch workflows on AWS
• How to think about container/job management within managed, high-throughput workflows
• How to build a scalable orchestration framework within AWS Step Functions

Who Should Attend: Developers, scientists, researchers, anyone who needs to design or run Batch workflows

Speakers: Aaron Friedman, Partner Solutions Architect HCLS and Jamie Kinney, Principal Product Manager AWS Batch

Register for the Webinar