Microsoft Azure Mastery for .NET Architects

Azure SQL Database: The king of cloud-native SQL

1 Views Updated 5/4/2026

Enterprise Data

Azure SQL Database is the 'Evergreen' version of SQL Server. It always runs the latest stable version and offers the best integration for .NET applications.

1. DTU vs vCore

DTU (Database Transaction Unit): A pre-packaged bundle of CPU, RAM, and IO. Best for small-to-medium apps where simplicity is key.
vCore: Allows you to scale CPU and RAM independently. Best for large, enterprise-grade workloads where you need to 'tune' the infrastructure to your code.

2. Hyperscale Tier

One of the biggest innovations in cloud databases. Hyperscale can grow up to **100TB** automatically and provides near-instant backups/restores Regardless of the database size. This removes the 'Storage Wall' that many .NET architects face when their apps grow.

3. Architect Insight

Q: "Should I use Elastic Pools?"

Architect Answer: "YES! If you are building a **SaaS application** where each customer has their own database. Instead of paying for a separate server for every client, you put them all in an **Elastic Pool**. The pool shares a fixed set of resources (CPU/RAM), so if one customer is busy and others are quiet, the busy one gets the power. It can save you up to 80% on database costs."

Microsoft Azure Mastery for .NET Architects
1. Azure Identity & Governance
Microsoft Entra ID (Azure AD): Scaling identity for .NET apps App Registrations & Service Principals: Secure machine identity Azure Policy & Blueprints: Enforcing architecture standards Resource Groups & Management Groups: Organizing the Cloud
2. Azure Web & Compute
Azure App Service: Managed hosting for ASP.NET Core Azure Functions: Serverless logic with Durable Functions Azure Container Apps (ACA): Serverless K8s for microservices Azure Kubernetes Service (AKS): Enterprise orchestration
3. Azure Databases
Azure SQL Database: The king of cloud-native SQL Azure Cosmos DB: Global scale with multi-model NoSQL Azure Cache for Redis: Managed memory performance Azure Database for PostgreSQL/MySQL: Flexible server scaling
4. Networking & Security
Azure Virtual Network (VNet): Subnets, Peering, and Gateways Azure Front Door: Global CDN & Load Balancing Azure Key Vault: Managing secrets, keys, and certificates Azure Application Gateway (WAF): Protecting the front-end
5. Messaging & Integration
Azure Service Bus: Enterprise-grade message queuing Azure Event Grid: Building reactive, event-driven systems Azure Event Hubs: Large-scale data ingestion for .NET Logic Apps: No-code orchestration for .NET developers
6. AI & Data Services
Azure OpenAI Service: Integrating GPT into .NET apps Cognitive Services: Vision, Speech, and Language APIs Azure Search (AI Search): Semantic search and vector indexing Azure Data Factory: ETL and data movement
7. Monitoring & Hybrid
Azure Monitor & Application Insights: Deep .NET observability Log Analytics: KQL (Kusto) for large-scale log analysis Azure Arc: Managing on-premise and multi-cloud from Azure Azure Bicep: Modern Infrastructure as Code for Azure
8. Enterprise Scale & Patterns
Cloud Adoption Framework (CAF): The Architect's strategy Case Study: Global retail scaling with Cosmos DB and AKS