azure-architecture
Expert guidance for designing Azure solutions using Azure Architecture. Covers reference architectures, solution ideas, design patterns, technology choices, architecture styles, best practices, anti-patterns, example workloads, and migration guides. Use when designing AKS/microservices, hybrid/Arc,
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SKILL.md
Azure Architecture Skill
This skill provides expert guidance for designing Azure solutions using Azure Architecture. Covers reference architectures, solution ideas, design patterns, technology choices, architecture styles, best practices, anti-patterns, example workloads, and migration guides. It combines local quick-reference content with remote documentation fetching capabilities.
How to Use This Skill
IMPORTANT for Agent: Use the Category Index below to locate relevant sections. For categories with line ranges (e.g.,
L35-L120), useread_filewith the specified lines. For categories with file links (e.g.,[security.md](security.md)), useread_fileon the linked reference file
IMPORTANT for Agent: If
metadata.generated_atis more than 3 months old, suggest the user pull the latest version from the repository. Ifmcp_microsoftdocstools are not available, suggest the user install it: Installation Guide
This skill requires network access to fetch documentation content:
- Preferred: Use
mcp_microsoftdocs:microsoft_docs_fetchwith query stringfrom=learn-agent-skill. Returns Markdown. - Fallback: Use
fetch_webpagewith query stringfrom=learn-agent-skill&accept=text/markdown. Returns Markdown.
Category Index
| Category | Lines | Description |
|---|---|---|
| Reference Architectures | L37-L89 | End-to-end Azure solution blueprints for ML, data platforms, networking, hybrid/Arc, AKS/microservices, SAP, security, and mission-critical, highly available enterprise architectures. |
| Solution Ideas | L90-L129 | End-to-end solution patterns for AI, data, security, and infrastructure on Azure—covering MLOps, multi-agent AI, analytics, IoT, mainframe migration, and layered security architectures. |
| Design Patterns | L130-L180 | Design and implementation guidance for cloud design patterns (messaging, resiliency, integration, security, data, and networking) using Azure services and reference architectures |
| Technology Choices | L181-L215 | Guides for choosing Azure/Fabric services (AI/ML, data, storage, compute, containers, networking, messaging, search, vector, hybrid) based on workload, scale, and architecture needs. |
| Architecture Styles | L216-L227 | Guidance on choosing and designing Azure app architectures (big compute, big data, event-driven, microservices, N-tier, web-queue-worker) with patterns, components, and best practices. |
| Best Practices | L228-L284 | Best practices for designing, securing, monitoring, scaling, and operating Azure solutions, including RAG/AI, APIs, AKS, networking, DR, multitenancy, SAP, IoT, and Event Hubs/Functions. |
| Anti-patterns | L285-L299 | Diagnosing and fixing common Azure performance and scalability anti-patterns (busy DB/front end, chatty I/O, no caching, noisy neighbors, retry storms, sync I/O, monolithic persistence). |
| Example Workloads | L300-L386 | End-to-end reference architectures for real-world Azure workloads: data/analytics, AKS and networking, hybrid/VM/VDI, mainframe and SAP migrations, IoT/Edge, security, BCDR, and governance patterns. |
| Migration Guides | L387-L417 | Mapping and migrating from AWS/Google Cloud/on-prem (incl. Oracle, Kafka, EKS) to Azure, comparing services, architectures, security, governance, and cost/ops equivalents |
Reference Architectures
Solution Ideas
Design Patterns
Technology Choices
Architecture Styles
Best Practices
Anti-patterns
Example Workloads
Migration Guides
Files
1- SKILL.md
b843562a2258.2 KB
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