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Compliant Infra with ML Search and SCIM Onboarding

A DevOps team provisions MLPS 2.0 compliant infrastructure (VPC, ECS, RDS, OSS, Elasticsearch) via Terraform with IDaaS authentication and PAI-powered ML search, then layers an event-driven SCIM onboarding pipeline using EventBridge to automate new employee account provisioning, welcome emails via Resend, and GitBook documentation access.

Products involved

Scenario

Use this integration when deploying an MLPS 2.0-compliant platform requiring automated infrastructure, centralized identity, and semantic search. It’s ideal for platform teams building secure RAG pipelines where new employee onboarding triggers automated account creation, welcome emails, and documentation access.

Integration steps

  1. Provision infra via Terraform: Define alicloud_vpc, alicloud_ecs_instance (using alinux image), alicloud_db_instance, alicloud_oss_bucket, and alicloud_elasticsearch_instance with mlps_compliance = true. Run terraform apply -target=module.compliant_infra.
  2. Configure OpenSearch ML: Deploy PAI embeddings via POST /_plugins/_ml/models/_train with {"algorithm": "knn", "dimension": 768}.
  3. Enable IDaaS SCIM 2.0: Generate a bearer token and configure https://idaas.aliyuncs.com/scim/v2/Users. Map urn:ietf:params:scim:schemas:core:2.0:User to your HRIS webhook.
  4. Create EventBridge rule: Match source: "com.aliyun.idaas" and detail-type: "SCIM.UserCreated". Route to an ECS-hosted processor.
  5. Trigger Resend emails: Call POST https://api.resend.com/emails with {"from": "[email protected]", "to": ["{{email}}"], "subject": "Welcome"}.
  6. Sync GitBook access: Invoke POST https://api.gitbook.com/v1/scim/Users with {"userName": "{{email}}", "active": true, "groups": ["{{dept}}-readers"]}.

Architecture

Terraform provisions the VPC, ECS, RDS, OSS, and OpenSearch layers. IDaaS acts as the central IdP, emitting SCIM 2.0 lifecycle events. EventBridge captures UserCreated payloads, routing them to a lightweight processor that calls the Resend API for emails and GitBook SCIM for doc access. OpenSearch, powered by PAI-trained vectors, handles semantic queries. RDS stores app metadata, OSS holds training data, and all traffic is secured via VPC endpoints with IDaaS-enforced RBAC.

Prerequisites

Common pitfalls

Typical questions

FAQ

Q: How do I deploy a compliant infrastructure with ML search and automated SCIM onboarding? A: You can provision this environment by using Terraform to deploy MLPS 2.0 compliant infrastructure with IDaaS authentication and PAI-powered ML search, then layering an event-driven SCIM onboarding pipeline via EventBridge. This architecture automates new employee account provisioning, triggers welcome emails through Resend, and manages GitBook documentation access.