What problem does it solve?
It solves the problem of designing and validating an Azure-native data platform by translating architecture choices into concrete, secure, and operationally sound configurations.
Core Features & Use Cases
- ADLS Gen2 foundation review: validate hierarchical namespace, RBAC approach (avoid SAS), versioning/soft delete, and lifecycle tiering (bronze/silver/gold).
- End-to-end security & identity: map AKS Workload Identity to Azure Managed Identity for service-to-service access, and ensure Key Vault access patterns and network restrictions are correct.
- Platform component trade-offs: compare Azure Synapse vs Databricks vs HDInsight across orchestration, SQL/Spark capabilities, governance (Purview/Unity Catalog), and cost drivers.
- Event streaming integration checks: ensure Event Hubs Kafka protocol compatibility and correct authentication practices for producers/consumers.
- Observability & governance readiness: confirm Azure Monitor/Log Analytics diagnostic settings and Purview registration/scanning/lineage expectations.
- Private connectivity & cost controls: enforce Private Endpoints for data services and include cost-management guardrails (reserved capacity, spot where appropriate).
Quick Start
Ask the agent to review your proposed Azure data platform design and return a checklist of security, governance, connectivity, and cost gaps with suggested fixes.