بنقرة واحدة
azure-architecture-patterns
Well-Architected Framework principles and Azure best practices
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
القائمة
Well-Architected Framework principles and Azure best practices
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Run the 7-step Artificial Critical Thinking pass — Materiality → Hypothesise → Alternatives → Disconfirmers → Audit priors → Severity → Commit-with-marker
Challenge what you think is right — alternative hypotheses, missing data, evidence quality, bias detection, falsifiability, and adversarial review
Step-back protocol — restate, generalise, specialise, invert, ask why, pre-mortem, check stakeholders, and audit framings before solving
Build knowledge bases that build software — research before code, teach before execute
Two-phase brain upgrade — mechanical install via shared core, then LLM-led semantic reconciliation
Clear documentation through visual excellence
| 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" |
Well-Architected Framework principles, reference architectures, and Azure best practices.
| 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? |
/health, /ready)| Principle | Implementation |
|---|---|
| Verify explicitly | Always authenticate/authorize |
| Least privilege | Minimal necessary permissions |
| Assume breach | Segment, encrypt, detect |
| 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 |
| 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 |
| Tier | Use Case | Cost |
|---|---|---|
| Hot | Frequent access | ~$0.02/GB |
| Cool | Infrequent (30+ days) | ~$0.01/GB |
| Archive | Rarely accessed | ~$0.002/GB |
| Tool | Best For |
|---|---|
| Bicep | Azure-native, declarative |
| Terraform | Multi-cloud, state management |
| ARM | Legacy (avoid for new) |
| Layer | Service |
|---|---|
| Logs | Log Analytics |
| Metrics | Azure Monitor |
| Traces | Application Insights |
| Alerts | Azure Alerts |
| Dashboards | Azure Workbooks |
| Service | Mechanism |
|---|---|
| App Service | Autoscale rules |
| Azure Functions | Event-driven automatic |
| AKS | HPA + Cluster Autoscaler |
| VMSS | Autoscale rules |
| Type | Use Case | Service |
|---|---|---|
| CDN | Static content | Azure Front Door |
| Distributed | Session, computed | Redis Cache |
| Local | Hot data | In-memory |
Internet → Front Door → App Service → Azure SQL + Redis
Internet → API Management → AKS → Cosmos DB + Service Bus
Events → Event Grid → Functions → Cosmos DB + Storage
| Series | Use Case |
|---|---|
| B-series | Dev/test (burstable) |
| D-series | Most production |
| E-series | Memory-optimized |
| F-series | Compute-optimized |
| 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 |
| 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 |