This Guidance demonstrates how to launch simulation and machine learning compute tasks through distributed container orchestration, which automates the deployment of containers. One way is through TwinGraph, a workflow orchestration module that stores the metadata for each action in a graph that you can query for traceability and auditability. By using TwinGraph on AWS, you can build a hybrid, scalable solution that meets the technical requirements of your predictive modeling or simulation workloads without requiring you to write custom scripts for modeling frameworks.
