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DevOpsSec Outline for the GenAI Platform

·425 words·2 mins
Khalid Rizvi
Author
Khalid Rizvi
Where Legacy Meets GenAI

This post captures the DevOpsSec outline for a GenAI platform designed to run securely and efficiently on AWS infrastructure. This document precedes deeper hands-on Terraform and terraform state analysis and will serve as the governance foundation for automation, monitoring, and compliance.

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1. Infrastructure Overview
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  • The platform includes a Hugging Face UI (TypeScript + Svelte) interacting via a LightLLM proxy with AWS Bedrock.
  • It is deployed to a managed EKS cluster (Elastic Kubernetes Service).
  • All infrastructure is managed through Terraform modules, following Infrastructure-as-Code (IaC) best practices for repeatability, reviewability, and automation.

2. Security and Compliance (Non-Functional Requirements)
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This section outlines DevSecOps controls that span the CI/CD pipeline, AWS resources, and Terraform configurations:

  • Identity & Access Management (IAM): Least-privilege roles for developers, deployers, and workloads.
  • Terraform state security: State files are encrypted, versioned, and stored in a remote backend with restricted access (e.g., S3 + DynamoDB + KMS).
  • Cluster Security: Hardened EKS nodes, restricted ingress via security groups and NACLs, and namespace-level RBAC.
  • Secret Management: Secrets are handled via AWS Secrets Manager or SSM Parameter Store—never hardcoded.
  • Audit and Compliance: CloudTrail, Config Rules, and periodic drift detection across IaC and live infra.

3. Infrastructure as Code (Terraform)
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We define and manage infrastructure using modular Terraform code with the following characteristics:

  • Module structure: Split by environment (dev/stage/prod), region, and responsibility (e.g., network, compute, security).
  • Version control: All changes go through PR reviews and CI validation (terraform fmt, validate, plan, etc.).
  • State operations: terraform init, plan, and apply workflows include permission boundaries and logging.
  • Policy enforcement: Optional use of tools like Sentinel or OPA for policy-as-code gates during Terraform runs.

4. Deployment, Observability & Runtime Security
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DevOpsSec must extend to what happens after provisioning:

  • CI/CD Pipeline Hardening: Enforced branch protection, secrets scanning, and isolated runners.
  • Runtime Monitoring: CloudWatch metrics, container logs, VPC flow logs, and GuardDuty alerts.
  • Container Security: Image scanning (e.g., ECR scan, Trivy), minimal base images, signed images (optional via Sigstore).
  • Incident Response Readiness: Alerts integrated with response automation or playbooks in systems like PagerDuty or OpsGenie.

5. Out of Scope
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  • This outline excludes application-level functional specs (e.g., Hugging Face UI logic, LLM prompt orchestration, or Bedrock tuning).
  • Platform-specific fine-tuning will be addressed in separate runbooks and hands-on Terraform state analysis posts.

6. Notes and Next Steps
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  • Terraform Access Control: Initial attempts to run terraform init revealed credential scoping issues. These will be resolved collaboratively with the client’s IAM admin.
  • Follow-Up Posts: Future posts will include:
    • Hands-on: analyzing terraform state
    • Module-by-module audit
    • IAM least-privilege patterns for Bedrock, Lambda, and EKS