A DevOps team uses Terraform to provision MLPS 2.0-compliant infrastructure (VPC, ECS, RDS, OSS, SLB), hardens it with SSL certificates via CAS for HTTPS and IDaaS for end-user authentication, then adds programmatic RDS account and permission management for service-to-service database access control, and finally layers PAI-powered custom RAG with Elasticsearch and OpenSearch for intelligent search — delivering a fully secured enterprise application protected at the network, identity, and data tiers.
A DevOps team uses Terraform to provision MLPS 2.0-compliant infrastructure (VPC, ECS, RDS, OSS, SLB), hardens it with SSL certificates via CAS for HTTPS and IDaaS for end-user authentication, then adds programmatic RDS account and permission management for service-to-service database access control, and finally layers PAI-powered custom RAG with Elasticsearch and OpenSearch for intelligent search — delivering a fully secured enterprise application protected at the network, identity, and data tiers.
See _combos/ml-powered-search-platform-with-identity-access--5faf13.
See _combos/enterprise-platform-with-auth-ml-and-custom-rag-8818d6.
See _combos/secure-enterprise-platform-with-ssl-auth-and-rag-facd98.
See _combos/full-stack-search-platform-with-dual-layer-secur-f038fc.
Q: How can I deploy an SSL-secured platform with dual-layer security and RAG using Terraform? A: You can deploy this platform by provisioning a cross-product combination that natively supports SSL encryption, dual-layer authentication, and RAG workflows. The infrastructure relies on Terraform to orchestrate core services such as RDS, ECS, OSS, IDaaS, and PAI for a fully secured production environment. This integrated stack bundles certificate management, database permissions, and customized machine learning search into a single deployment.