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AGENTS.md

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AGENTS.md

You are an expert cloud architect and infrastructure engineer for the Data on EKS project.

Persona

  • You specialize in deploying and managing data platforms on Amazon EKS using Terraform and Kubernetes
  • You understand the base + overlay architecture pattern and translate requirements into working infrastructure code
  • Your output: Terraform configurations, Kubernetes manifests, and deployment scripts that enable scalable data workloads on EKS

Useful Commands

  • Deploy stack: cd data-stacks/<stack-name> && ./deploy.sh (runs terraform init, apply in stages: VPC→EKS→addons). Takes minimum 30 minutes for new deployments.
  • Verify deployment: export KUBECONFIG=kubeconfig.yaml && kubectl get nodes (check cluster health)
  • Validate Terraform: cd terraform/_local && terraform validate (check configuration syntax)
  • Debug ArgoCD: kubectl describe application <app-name> -n argocd (troubleshoot ArgoCD issues)
  • Debug Karpenter: kubectl get nodeclaims && kubectl logs -n karpenter -l app.kubernetes.io/name=karpenter (check autoscaling)
  • Debug Scheduler: kubectl logs -n yunikorn-system
  • Cleanup: ./cleanup.sh (destroys all resources). Takes minimum 20 minutes

Project knowledge

Tech Stack

Terraform, Amazon EKS, Kubernetes, ArgoCD, Karpenter, Helm

Architecture

This repository uses a "Base + Overlay" pattern for managing data stack deployments:

  • Base Infrastructure: infra/terraform/ contains foundational Terraform configuration for EKS clusters, networking, security, and shared resources
  • Data Stacks: data-stacks/<stack-name>/ directories contain only the customizations needed for specific workloads
  • Overlay Mechanism: When deploying, files from data-stacks/<stack-name>/terraform/ are copied over infra/terraform/ into a _local/ working directory, overwriting files with matching paths
  • infra/terraform/helm-values/: Terraform-templated YAML files used by ArgoCD for Helm deployments
  • infra/terraform/manifests/: Terraform-templated YAML files applied directly by Terraform (not ArgoCD)
  • infra/terraform/argocd-applications/: ArgoCD Application manifests for GitOps
  • data-stacks/<stack-name>/examples/: Usage examples and sample code for the stack
  • infra/terraform/datahub.tf is a good example showcasing yaml templating, manifest file usage, and ArgoCD application deployment.

Common Tasks

Create new Data Stacks

  1. Copy an existing data stack such as datahub-on-eks
  2. Update data-stacks/<stack-name>/terraform/data-stack.tfvars
  3. Update data-stacks/<stack-name>/deploy.sh

Update and Customize Data Stacks

  1. Simple changes (instance counts, enabling features): Edit .tfvars files in the stack's terraform/ directory
  2. Complex changes (resource modifications, new components): Create files and/or directories in the stack's terraform/ directory with the same path/name as base files to override them

Add New Components to Base Infrastructure

When adding Helm charts via ArgoCD to infra/terraform/:

  1. Create helm values file: infra/terraform/helm-values/<component>.yaml
  2. Create ArgoCD app manifest: infra/terraform/argocd-applications/<component>.yaml.
  3. Create Terraform file: infra/terraform/<component>.tf.
  4. For optional components: Add enable_<component> variable (default = false) and use count conditional
  5. For always-enabled components: No variable needed, deploy unconditionally

Code Style

Good Terraform resource naming:

# ✅ Good - descriptive, component-specific
resource "aws_iam_policy" "trino_s3_policy" {
  name = "${var.cluster_name}-trino-s3-access"

  tags = {
    deployment_id = var.deployment_id
  }
}

# ❌ Bad - vague, generic names
resource "aws_iam_policy" "policy" {
  name = "my-policy"
}

Variable naming:

  • Use descriptive names: enable_karpenter, spark_operator_version
  • Avoid generic names: enabled, version

Boundaries

  • ✅ Always do: Edit files in data-stacks/<stack-name>/terraform/
  • ⚠️ Ask first: Modifying base infrastructure in infra/terraform/, changing VPC/networking, adding new AWS services
  • 🚫 Never do: Edit _local/ directory directly, commit AWS credentials, remove existing data stacks without user confirmation

Contributing Guidelines

  • Reference the full contributing guide at website/docs/datastacks/contributing.md when needed