Batch Compute Environment

📦 Overview

This Terraform module provisions a Batch Compute Environment in AWS to support scalable, cost-efficient batch processing workloads.

It’s designed for use cases like data analytics, model training, ETL, and other asynchronous jobs requiring managed compute infrastructure.

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✅ Key Features

• Creates a managed compute environment for AWS Batch
• Supports custom instance types, vCPU limits, and allocation strategies
• Allows subnet and security group configuration for full VPC integration

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💼 Use Cases

• High-performance computing (HPC) jobs and render farms
• Machine learning model training and batch inference
• ETL pipelines and large-scale data preprocessing
• Genomics, financial simulations, or scientific computation

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📥 Input Variables

Name	Type	Description
region	string	AWS region to deploy the Batch environment
compute_env_name	string	Name of the compute environment
instance_types	list	List of allowed EC2 instance types
max_vcpus	number	Maximum number of vCPUs allowed
subnets	list	List of subnet IDs for VPC placement
security_group_ids	list	List of security group IDs for the compute environment
environment	string	Tag to specify the deployment environment (e.g., dev, prod)

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📤 Outputs

Name	Description
compute_environment_name	The name of the created compute environment
compute_environment_arn	The ARN of the compute environment
max_vcpus	The maximum number of virtual CPUs allowed

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🚀 Deployment Readiness

• ✅ Compatible with Terraform 1.0+
• ✅ Tested with AWS provider 5.x
• 🧪 Requires a compute IAM role (e.g., AWSBatchServiceRole)

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🛠️ Example Usage

module "batch_compute_environment_deployment" {
source = "git::ssh://git@github.com/archiphire/aws-level-1-modules.git//compute/batch-compute-environment?ref=v1.0.0"

region = "us-east-1"
compute_env_name = "archiphire-batch-env"
instance_types = ["c5.large", "m5.large"]
max_vcpus = 16
subnets = ["subnet-abc123", "subnet-def456"]
security_group_ids = ["sg-12345678"]
environment = "prod"
}

terraform init
terraform plan
terraform apply

or

tofu init
tofu plan
tofu apply

🧹 Cleanup Options

For testing:

terraform destroy

or

tofu destroy

For production:

Manually delete the Batch environment using the AWS Console or CLI to avoid disrupting jobs in a production pipeline.

🛡️ Notes

This is a Level 1 compute module designed as a base layer for AWS Batch setups. To run jobs, pair this with modules for Batch job queues and job definitions.

🔒 Deployment Package Notice

This module is part of the Level 1 AWS License Tier. To access the full deployment package and source code, subscribe to Archiphire.