jagpk/terraform-aws-eks-data-addons

Terraform Module: Deploy Data/ML Addons Helm Charts on EKS 🚀

Terraform Module: 🚀 Data & AI/ML Kubernetes Add-ons ⚙️

This Terraform module contains commonly used Data & AI/ML related Kubernetes add-ons that are typically included in Data on EKS blueprints. The purpose of this module is to provide users with the flexibility to select and customize the add-ons they require while leveraging the Data on EKS blueprints.

⚠️ Important Note

Users can consume this Terraform module in their projects to deploy any of the available addons. We will continue to maintain and update the existing Data/ML add-ons. However, we kindly request that you refrain from submitting Pull Requests (PRs) to add new addons at the moment, unless there is a supported blueprint available in the Data on EKS repository. The Apache and CNCF communities offer numerous open-source Data and ML add-ons, and while we appreciate their value, supporting all of them poses challenges.

Your understanding and cooperation are highly appreciated. 🙏

Usage

Create Addon with the following example using Terraform registry. Checkout the complete example under test folder.

module "eks_data_addons" {
  source = "aws-ia/eks-data-addons/aws"
  version = "~> 1.0" # ensure to update this to the latest/desired version

  oidc_provider_arn = module.eks.oidc_provider_arn

  # Example to deploy AWS Neuron Device Plugin for Trainium and Inferentia instances
  enable_aws_efa_k8s_device_plugin = true

  # Example to deploy EFA K8s Device Plugin for GPU/Neuron instances
  enable_aws_efa_k8s_device_plugin = true

  # Example to deploy NVIDIA GPU Operator
  enable_nvidia_gpu_operator = true

  # Example to deploy Spark Operator Helm Chart
  enable_spark_opertor = true

  # Example to deploy Flink Operator Helm Chart
  enable_flink_operator = true

  # Example to deploy Apache YuniKorn Helm Chart
  enable_yunikorn = true

  # Example that uses ECR authentication for a particular registry ID
  enable_emr_spark_operator = var.enable_emr_spark_operator
  emr_spark_operator_helm_config = {
    repository_username = data.aws_ecr_authorization_token.token.user_name
    repository_password = data.aws_ecr_authorization_token.token.password
  }

  # Example to deploy Helm chart that uses IAM Role for ServiceAccounts. You can disable `create_irsa` and bring your own IAM role.
  enable_spark_history_server = var.enable_emr_spark_operator
  spark_history_server_helm_config = {
    create_irsa = true
    values = [
      templatefile("${path.module}/test/helm-values/spark-history-server-values.yaml", {
        s3_bucket_name   = module.s3_bucket.s3_bucket_id
        s3_bucket_prefix = aws_s3_object.this.key
      })
    ]
  }
}

---

Requirements

Name	Version
terraform	>= 1.0.0
aws	>= 3.72
helm	>= 2.4.1

Providers

Name	Version
aws	>= 3.72
helm	>= 2.4.1

Modules

Name	Source	Version
spark_history_server_irsa	./irsa	n/a

Resources

Name	Type
helm_release.airflow	resource
helm_release.aws_efa_k8s_device_plugin	resource
helm_release.aws_neuron_device_plugin	resource
helm_release.emr_spark_operator	resource
helm_release.flink_operator	resource
helm_release.jupyterhub	resource
helm_release.kubecost	resource
helm_release.nvidia_gpu_operator	resource
helm_release.spark_history_server	resource
helm_release.spark_operator	resource
helm_release.strimzi_kafka_operator	resource
helm_release.yunikorn	resource
aws_partition.current	data source
aws_region.current	data source

Inputs

Name	Description	Type	Default	Required
airflow_helm_config	Airflow Helm Chart config	any	{}	no
aws_efa_k8s_device_plugin_helm_config	EFA K8s Plugin add-on Helm Chart config	any	{}	no
aws_neuron_device_plugin_helm_config	AWS Neuron Device Plugin Helm Chart config	any	{}	no
emr_spark_operator_helm_config	Helm configuration for Spark Operator with EMR Runtime	any	{}	no
enable_airflow	Enable Airflow add-on	bool	false	no
enable_aws_efa_k8s_device_plugin	Enable EFA K8s Plugin add-on	bool	false	no
enable_aws_neuron_device_plugin	Enable AWS Neuron Device Plugin add-on	bool	false	no
enable_emr_spark_operator	Enable the Spark Operator to submit jobs with EMR Runtime	bool	false	no
enable_flink_operator	Enable Flink Operator add-on	bool	false	no
enable_jupyterhub	Enable Jupyterhub Add-On	bool	false	no
enable_kubecost	Enable Kubecost add-on	bool	false	no
enable_nvidia_gpu_operator	Enable NVIDIA GPU Operator add-on	bool	false	no
enable_spark_history_server	Enable Spark History Server add-on	bool	false	no
enable_spark_operator	Enable Spark on K8s Operator add-on	bool	false	no
enable_strimzi_kafka_operator	Enable the Strimzi Kafka Operator	bool	false	no
enable_yunikorn	Enable Apache YuniKorn K8s scheduler add-on	bool	false	no
flink_operator_helm_config	Flink Operator Helm Chart config	any	{}	no
jupyterhub_helm_config	Helm configuration for JupyterHub	any	{}	no
kubecost_helm_config	Kubecost Helm Chart config	any	{}	no
nvidia_gpu_operator_helm_config	Helm configuration for NVIDIA GPU Operator	any	{}	no
oidc_provider_arn	The ARN of the cluster OIDC Provider	string	n/a	yes
spark_history_server_helm_config	Helm configuration for Spark History Server	any	{}	no
spark_operator_helm_config	Helm configuration for Spark K8s Operator	any	{}	no
strimzi_kafka_operator_helm_config	Helm configuration for Strimzi Kafka Operator	any	{}	no
yunikorn_helm_config	Helm configuration for Apache YuniKorn	any	{}	no

Outputs

Name	Description
airflow	Airflow Helm Chart metadata
aws_efa_k8s_device_plugin	AWS EFA K8s Plugin Helm Chart metadata
aws_neuron_device_plugin	AWS Neuron Device Plugin Helm Chart metadata
emr_spark_operator	EMR Spark Operator Helm Chart metadata
flink_operator	Flink Operator Helm Chart metadata
jupyterhub	Jupyterhub Helm Chart metadata
kubecost	Kubecost Helm Chart metadata
nvidia_gpu_operator	Nvidia GPU Operator Helm Chart metadata
spark_history_server	Spark History Server Helm Chart metadata
spark_operator	Spark Operator Helm Chart metadata
strimzi_kafka_operator	Strimzi Kafka Operator Helm Chart metadata
yunikorn	Yunikorn Helm Chart metadata