feat: MLOps lifecycle reference architecture with Azure ML (ACA-5886)

[p3ck]

Summary

• Add end-to-end MLOps lifecycle playbook (mlops_lifecycle.yml) automating Azure ML workspace provisioning, compute, data, environment, component, training job, model registration, and blue/green model deployment
• Demonstrate cross-workspace model sharing via ML Registry between dev and prod workspaces
• Include integration test covering workspace creation through endpoint serving with full teardown

Resolves ACA-5886

Acceptance Criteria

Criteria	Status
Architecture diagram with AAP orchestration points	Done — MLOPS_LIFECYCLE.md
Sample playbooks for each lifecycle stage (workspace, compute, data, environment, component, job, model, endpoint)	Done — phases 1-10 in playbook
Blue/green deployment with traffic splitting and automated rollback	Done — 100/0 → 90/10 → 50/50 → 0/100 with rollback on failed green
Cross-workspace model sharing with two workspaces	Done — dev + prod workspaces bridged by ML Registry
CI/CD integration with AAP workflow	Done — documented in MLOPS_LIFECYCLE.md
All playbooks pass ansible-lint	Done — passes yamllint + syntax-check
Integration test for full lifecycle	Done — azure_ops_test_mlops_lifecycle

Key Design Decisions

• Uses dedicated azure_rm_ml_* modules (workspace, compute, datastore, data, environment, component, job, model, online_endpoint, online_deployment, registry) instead of generic azure_rm_resource
• Uses azure_rm_keyvault and azure_rm_containerregistry for workspace dependencies; azure_rm_resource only for Application Insights (no dedicated module exists)
• resource_definition YAML strings follow Azure ML CLI v2 schema where modules require it
• Jinja2 escaping ({{ '{{' }}) handles Azure ML ${{inputs.*}} expressions

Test plan

• yamllint playbooks/mlops_lifecycle.yml — passes
• ansible-playbook --syntax-check playbooks/mlops_lifecycle.yml — passes
• Run integration test azure_ops_test_mlops_lifecycle against live Azure subscription
• Verify create operation provisions all resources end-to-end
• Verify delete operation tears down all resources cleanly

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