| type | skill |
| lifecycle | stable |
| inheritance | inheritable |
| name | azure-architecture-patterns |
| description | Well-Architected Framework principles and Azure best practices |
| tier | standard |
| applyTo | **/*azure*,**/*cloud*,**/*waf*,**/*architecture* |
| currency | "2026-04-22T00:00:00.000Z" |
Azure Architecture Patterns
Well-Architected Framework principles, reference architectures, and Azure best practices.
The Five Pillars
| Pillar | Focus | Key Question |
|---|
| Reliability | Resiliency, availability | Will it stay up? |
| Security | Protection, compliance | Is it safe? |
| Cost Optimization | Efficiency, value | Is it worth it? |
| Operational Excellence | Manageability, observability | Can we run it? |
| Performance Efficiency | Scalability, responsiveness | Is it fast enough? |
Reliability Patterns
Key Patterns
- Circuit Breaker: Fail fast when downstream unhealthy (Polly)
- Retry with Backoff: Handle transient failures with exponential delays
- Availability Zones: Distribute across datacenters
Reliability Checklist
Security Patterns
Zero Trust
| Principle | Implementation |
|---|
| Verify explicitly | Always authenticate/authorize |
| Least privilege | Minimal necessary permissions |
| Assume breach | Segment, encrypt, detect |
Identity
- Managed Identity: Eliminate credential management
- RBAC: Built-in roles, scope to resource group, use groups
Network
- Private Endpoints: Keep traffic on Azure backbone
- NSG: Default deny, explicit allow (priority 100-4096)
Security Checklist
Cost Optimization
| Strategy | Impact |
|---|
| Right-size | Match SKU to workload |
| Reserved Instances | 40-72% savings |
| Spot VMs | 90% discount (interruptible) |
| Auto-shutdown | Dev/test off at night |
| Serverless | Pay per execution |
Compute Selection
| Workload | Recommended |
|---|
| Steady-state web | App Service Premium |
| Event-driven | Azure Functions |
| Batch processing | Container Apps + KEDA |
| Big compute | Spot VMs + Batch |
| Dev/test | B-series VMs |
Storage Tiers
| Tier | Use Case | Cost |
|---|
| Hot | Frequent access | ~$0.02/GB |
| Cool | Infrequent (30+ days) | ~$0.01/GB |
| Archive | Rarely accessed | ~$0.002/GB |
Cost Checklist
Operational Excellence
IaC Tools
| Tool | Best For |
|---|
| Bicep | Azure-native, declarative |
| Terraform | Multi-cloud, state management |
| ARM | Legacy (avoid for new) |
Observability Stack
| Layer | Service |
|---|
| Logs | Log Analytics |
| Metrics | Azure Monitor |
| Traces | Application Insights |
| Alerts | Azure Alerts |
| Dashboards | Azure Workbooks |
Operational Checklist
Performance Efficiency
Scalability
| Service | Mechanism |
|---|
| App Service | Autoscale rules |
| Azure Functions | Event-driven automatic |
| AKS | HPA + Cluster Autoscaler |
| VMSS | Autoscale rules |
Caching Strategy
| Type | Use Case | Service |
|---|
| CDN | Static content | Azure Front Door |
| Distributed | Session, computed | Redis Cache |
| Local | Hot data | In-memory |
Performance Checklist
Reference Architectures
Web Application
Internet → Front Door → App Service → Azure SQL + Redis
Microservices
Internet → API Management → AKS → Cosmos DB + Service Bus
Serverless
Events → Event Grid → Functions → Cosmos DB + Storage
SKU Selection
| Series | Use Case |
|---|
| B-series | Dev/test (burstable) |
| D-series | Most production |
| E-series | Memory-optimized |
| F-series | Compute-optimized |
Anti-Patterns
| Anti-Pattern | Fix |
|---|
| Monolithic deployment | Microservices or modular |
| Hardcoded config | App Configuration, Key Vault |
| Single region | Multi-region + Traffic Manager |
| Over-provisioned | Right-size + autoscale |
| No IaC | Bicep/Terraform everything |
MCP Tools Available
| Tool | Use Case |
|---|
mcp_azure_mcp_cloudarchitect | Interactive architecture design |
mcp_azure_mcp_documentation | Search Azure docs |
mcp_azure_mcp_get_bestpractices | Code gen, deployment patterns |
| Service-specific tools | AKS, App Service, Functions, Cosmos, SQL |
