# terraform-aws-enrichment

Usage

resource "aws_s3_bucket" "enrichment_bucket" {
  bucket = "corelight-enrichment"
}

module "enrichment_eventbridge_role" {
  source = "github.com/corelight/terraform-aws-enrichment//modules/iam/eventbridge"

  primary_event_bus_arn = module.enrichment.primary_event_bus_arn
}

module "enrichment_lambda_role" {
  source = "github.com/corelight/terraform-aws-enrichment//modules/iam/lambda"

  enrichment_bucket_arn           = aws_s3_bucket.enrichment_bucket.arn
  enrichment_ecr_repository_arn   = data.aws_ecr_repository.enrichment_repo.arn
  lambda_cloudwatch_log_group_arn = module.enrichment.cloudwatch_log_group_arn
}

module "enrichment" {
  source = "github.com/corelight/terraform-aws-enrichment"

  corelight_cloud_enrichment_image = "123456789111.dkr.ecr.us-east-1.amazonaws.com/corelight-sensor-enrichment-aws"
  corelight_cloud_enrichment_image_tag = "0.1.0"
  enrichment_bucket_name = aws_s3_bucket.enrichment_bucket.bucket
  eventbridge_iam_cross_region_role_arn = module.enrichment_eventbridge_role.cross_region_role_arn
  lambda_iam_role_arn                   = module.enrichment_lambda_role.lambda_iam_role_arn
}

Preparation

Image based Lambdas must be deployed from a private Elastic Container Registry (ECR) repository and therefore the data collection serverless container image provided by Corelight must be copied from Dockerhub and pushed to your own ECR repository.

Create the ECR Repository (CLI)

aws ecr create-repository --repository-name corelight/sensor-enrichment-aws

Create the ECR Repository (Terraform)

resource "aws_ecr_repository" "enrichemnt_repo" {
  name = "corelight/sensor-enrichment-aws"
}

Copying the Corelight image

Log into the AWS account's registry

aws ecr get-login-password --region <region> | docker login \
    --username AWS \
    --password-stdin <[account id].dkr.ecr.[region].amazonaws.com>

Pull from Dockerhub and push the image to ECR

AWS_ACCOUNT=<enter aws account id>
AWS_REGION=<enter ecr repository region>
ECR_REGISTRY="${AWS_ACCOUNT}.dkr.ecr.${AWS_REGION}.amazonaws.com"

# Pull from Dockerhub
CORELIGHT_REPO=corelight
CORELIGHT_IMAGE_NAME=sensor-enrichment-aws
CORELIGHT_IMAGE_TAG=0.1.1

# Dockerhub image: corelight/sensor-enrichment-aws:0.1.1
SRC_IMAGE="$CORELIGHT_REPO/$CORELIGHT_IMAGE_NAME:$CORELIGHT_IMAGE_TAG"

# ECR Destination: <AWS_ACCOUNT>.dkr.ecr.<AWS_REGION>.amazonaws.com/corelight/sensor-enrichment-aws:0.1.1
DST_IMAGE="$ECR_REGISTRY/$CORELIGHT_REPO/$CORELIGHT_IMAGE_NAME:$CORELIGHT_IMAGE_TAG"

# Pull Corelight Image
docker pull $SRC_IMAGE --platform linux/arm64

docker image tag $SRC_IMAGE $DST_IMAGE

docker image push $DST_IMAGE --platform linux/arm64

Deployment

The variables for this module all have default values that can be overwritten to meet your naming and compliance standards. The only variables without defaults are the Lambda's ECR image name and tag which you will set during preparation.

Deployment examples can be found here.

License

The project is licensed under the MIT license.