DevOps Articles

Run large-scale simulations with AWS Batch multi-container jobs

https://aws.amazon.com/polly/ Industries like automotive, robotics, and finance are increasingly implementing computational workloads like simulations, machine learning (ML) model training, and big data analytics to improve their products. For example, automakers rely on simulations to test autonomous driving features, robotics companies train ML algorithms to enhance robot perception capabilities, and financial firms run in-depth analyses to better manage risk, process transactions, and detect fraud.

Traditionally, AWS Batch only allowed single-container jobs and required extra steps to merge all components into a monolithic container.

Now, AWS Batch offers multi-container jobs, making it easier and faster to run large-scale simulations in areas like autonomous vehicles and robotics.

More generally, a sidecar container can help integrate telemetry data from AWS Batch jobs with your monitoring and observability platforms.