Compliant ML Platform with Enterprise Onboarding

Scenario

Use this workflow when deploying an MLPS 2.0-compliant AI search platform requiring zero-touch enterprise onboarding. It automates infrastructure provisioning via Terraform while synchronizing corporate identities (AD/Okta) through SCIM, instantly granting new hires SSO access to GitBook documentation and an Elasticsearch-backed RAG pipeline, with EventBridge-triggered welcome emails via Resend.

Integration steps

1. Provision compliant infra: Run terraform apply with alicloud_vpc, alicloud_ecs_instance (Alibaba Cloud Linux 3), alicloud_db_instance, alicloud_oss_bucket, and alicloud_slb with CAS SSL termination. Enable MLPS audit via alicloud_actiontrail.
2. Deploy ML search stack: Provision alicloud_elasticsearch_instance and PAI-EAS. Configure the ECS app to index docs via OpenSearch REST API: POST /_bulk with {"index": {"_index": "ml_rag_docs"}}.
3. Enable SCIM in IDaaS: Generate a SCIM 2.0 base URL and bearer token. Configure Okta to push urn:ietf:params:scim:schemas:core:2.0:User payloads to https://idaas.aliyuncs.com/scim/v2/Users.
4. Route events via EventBridge: Create a rule with pattern {"source": ["aliyun.idaas"], "detail-type": ["SCIM.User.Created"]}. Target an API Destination pointing to Resend’s POST /emails.
5. Configure Resend template: Create a template with {{.email}} and {{.sso_link}}. Pass the IDaaS SSO URL and GitBook workspace URL via EventBridge input transformer.
6. Enforce SSO on GitBook: Enable SAML in GitBook, pointing IdP metadata to IDaaS. Map email and groups claims. Verify via curl -H "Authorization: Bearer <token>" https://api.gitbook.com/v1/spaces.
7. Validate flow: Trigger a test user creation in Okta. Confirm EventBridge delivery, Resend receipt, and successful SSO login to GitBook and the ECS-hosted search UI.

Architecture

Terraform provisions the VPC, compute, and data layers. AD/Okta pushes identity changes to IDaaS via SCIM 2.0. IDaaS emits lifecycle events to EventBridge, routing them to Resend for templated emails. Authenticated users access GitBook and the ECS search frontend through an SLB-terminated SSL gateway. The backend queries OpenSearch for RAG results and PAI for embeddings, with all traffic isolated within the VPC using private RDS/OSS endpoints.

Prerequisites

• Alibaba Cloud RAM roles for Terraform (AliyunECSFullAccess, AliyunEventBridgeFullAccess)
• Terraform v1.5+ with alicloud provider
• Okta/Entra ID SCIM admin credentials
• Verified Resend domain and API key
• GitBook workspace with SAML enabled
• MLPS 2.0 baseline (audit trails, encryption, WAF)

Common pitfalls

• SCIM attribute mismatch: Okta’s userName vs IDaaS email causes provisioning failures. Explicitly map urn:ietf:params:scim:schemas:core:2.0:User:userName to email in IDaaS.
• EventBridge IAM scope: Missing resend:emails:send permissions causes silent drops. Attach a least-privilege policy explicitly allowing the Resend API.
• Terraform state locks: Concurrent applies during SCIM sync can lock RDS connections. Use terraform -lock=true and stagger infra vs. app deployments.
• GitBook SSO redirect loops: Missing acs_url in IDaaS SAML config causes infinite auth cycles. Validate metadata XML before enabling production SSO.

Typical questions

• deploy compliant platform then onboard users with docs and search
• Terraform MLPS stack with SCIM and RAG search access
• 一键部署合规平台加员工搜索和文档权限
• production deploy with automated employee onboarding to search and docs
• deploy infra then provision AD users with ML search access
• 企业合规平台部署加智能搜索入职
• new hire day-one access to search platform and SSO docs
• Terraform compliant stack plus SCIM with Elasticsearch and GitBook

Q: How does the compliant ML platform automate infrastructure deployment and user onboarding? A: The solution deploys an MLPS 2.0-compliant production stack via Terraform and automatically provisions enterprise users from AD or Okta via SCIM. This workflow triggers EventBridge to send welcome emails containing links to SSO-protected GitBook documentation while granting immediate access to the ML-powered intelligent search platform.