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Overview

• Run batch jobs as docker images
• Dynamic PRovisioning of the instances (EC2 & Spot Instances) - in VPC
• Optimal quantITy and tyPE based on volume and requirements
• No need to manage clusters, fully serverless
• You just pay for the underlying EC2 instance
• Example: batch process of images, running thousands of concurrent jobs
• Schedule Batch Jobs using CloudWatch Events
• Orchestrate Batch Jobs using AWS Step Functions

Lambda vs Batch

Lambda

• Time limit: 15 mins
• Limted runtime
• Limited temporary disk space
• Serverless

Batch

• No time limit
• Any runtinme as long as it's package as a Docker image
• Rely on EBS / instance Store for disk space
• Relies on EC2 (can be managed by AWS)

Compute environments

Managed Compute Environment

• AWS Batch managed the capacity and instance types within the environment
• You can choose On-Demand or Spot Instance
• You can set a maximum price for Spot instance
• Launched within your own VPC
  • If you launch within your own private subnet, make sure it has access to the ECS service
  • either using a NAT Gateway / instance or using VPC Endpoint for ECS

Unmanaged Compute Environment

• You control and manage instance configuration, provisioning and scaling

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