Adding functionality to your applications using multiple containers in AWS Batch

This blog post discusses how to use multiple containers in AWS Batch to add functionality and share resources across containers. Key insights include:

• Multi-container job definitions allow packaging separate applications while maintaining modularity
• Containers can be defined as essential or non-essential, with dependencies managed through configuration
• Shared volumes enable data and executable sharing between containers
• Example demonstrates using an AWS CLI container to list S3 buckets from another container

Important considerations include:

• Docker volumes are only supported in EC2 launch type, not Fargate
• Container dependencies can be configured using `dependsOn` property
• Kubernetes Pods have different container dependency mechanisms

The article provides a comprehensive guide to implementing multi-container job definitions in AWS Batch.