azure-architecture
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-L92 | End-to-end Azure solution blueprints: mission-critical, data/ML, networking, hybrid, security, and AKS/AVD architectures with patterns for HA, DR, governance, and landing zones. |
| Solution Ideas | L93-L124 | End-to-end solution patterns for AI, analytics, IoT, security, SAP, and data platforms on Azure, including reference architectures, design choices, and implementation guidance. |
| Design Patterns | L125-L177 | Architecture design patterns for Azure apps: messaging, resiliency, transactions, gateways/OpenAI, integration, caching, data partitioning, security, and scaling microservices and distributed systems. |
| Technology Choices | L178-L211 | Guides for choosing the right Azure/Fabric services (compute, storage, data, AI/ML, analytics, networking, messaging, search, vector) for specific workloads and architectures. |
| Architecture Styles | L212-L223 | 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 | L224-L276 | Best-practice patterns for designing, securing, scaling, monitoring, and operating Azure apps and networks, including APIs, AKS, Event Hubs, IoT, SAP, data, DR, and multitenant/GenAI workloads |
| Anti-patterns | L277-L291 | Diagnosing and fixing common Azure performance and scalability anti-patterns (busy DB/front end, chatty I/O, no caching, retry storms, noisy neighbors, sync I/O, monolithic persistence). |
| Example Workloads | L292-L370 | End-to-end reference architectures and patterns for real-world Azure workloads: data/AI pipelines, AKS and networking, hybrid/Arc, mainframe migration, security, DR, and industry-specific solutions. |
| Migration Guides | L371-L405 | Guides for migrating from AWS, GCP, on-prem Oracle, and Kafka to Azure: service mapping, AKS vs EKS, identity, networking, storage, governance, security, and app modernization patterns. |
Reference Architectures
Solution Ideas
Design Patterns
Technology Choices
Architecture Styles
Best Practices
Anti-patterns
Example Workloads
Migration Guides
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