azure-well-architected
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ChineseAzure Well Architected Skill
Azure Well Architected 技能
This skill provides expert guidance for designing, assessing, and optimizing Azure workloads using Azure Well Architected. Covers design review checklists, recommendations, design principles, tradeoffs, service guides, workload patterns, and assessment questions. It combines local quick-reference content with remote documentation fetching capabilities.
本技能借助Azure Well Architected,为Azure工作负载的设计、评估与优化提供专家指导。内容涵盖设计评审清单、建议方案、设计原则、权衡策略、服务指南、工作负载模式以及评估问题。它结合了本地快速参考内容与远程文档获取能力。
How to Use This Skill
如何使用本技能
IMPORTANT for Agent: Use the Category Index below to locate relevant sections. For categories with line ranges (e.g.,), useL35-L120with the specified lines. For categories with file links (e.g.,read_file), use[security.md](security.md)on the linked reference fileread_file
IMPORTANT for Agent: Ifis more than 3 months old, suggest the user pull the latest version from the repository. Ifmetadata.generated_attools are not available, suggest the user install it: Installation Guidemcp_microsoftdocs
This skill requires network access to fetch documentation content:
- Preferred: Use with query string
mcp_microsoftdocs:microsoft_docs_fetch. Returns Markdown.from=learn-agent-skill - Fallback: Use with query string
fetch_webpage. Returns Markdown.from=learn-agent-skill&accept=text/markdown
Agent 重要提示:使用下方的分类索引定位相关章节。对于带有行范围的分类(例如),使用L35-L120工具读取指定行内容。对于带有文件链接的分类(例如read_file),使用[security.md](security.md)工具读取链接的参考文件read_file
本技能需要网络访问权限以获取文档内容:
- 优先方式:使用工具,查询字符串为
mcp_microsoftdocs:microsoft_docs_fetch,返回Markdown格式内容。from=learn-agent-skill - 备选方式:使用工具,查询字符串为
fetch_webpage,返回Markdown格式内容。from=learn-agent-skill&accept=text/markdown
Category Index
分类索引
| Category | Lines | Description |
|---|---|---|
| Design Review Checklists | L35-L43 | Checklists to review Azure architectures for cost, operations, performance, reliability, and security best practices and identify design gaps or improvements. |
| Recommendations | L44-L117 | Prescriptive best practices for Azure workloads: cost optimization, reliability, performance, security, DevOps/automation, DR, observability, and sustainable design across services and environments |
| Design Principles | L118-L137 | Design principles and patterns for cost, reliability, security, performance, ops, and sustainability across Azure workloads like AI, SAP, Oracle, AVS, AVD, SaaS, HPC, and mission‑critical systems. |
| Tradeoffs | L138-L147 | Guidance on balancing cost, reliability, performance, security, and operations in Azure designs, including region/AZ choices and cross-pillar tradeoff analysis for architecture decisions |
| Service Guides | L148-L199 | End-to-end, service-specific Azure Well-Architected guidance for designing, securing, operating, monitoring, and optimizing core Azure services (AVD, AVS, networking, data, app, and infra). |
| Workload Patterns | L200-L267 | End-to-end design, platform selection, operations, security, and optimization patterns for specific Azure workloads (AI, HPC, mission-critical, Oracle, SaaS, SAP, sustainability). |
| Assessment Questions | L268-L281 | Guided assessments and maturity reviews for Azure workloads (AI, SaaS, AVD, AVS) across cost, reliability, performance, security, operations, and mission‑critical readiness. |
| 分类 | 行范围 | 描述 |
|---|---|---|
| 设计评审清单 | L35-L43 | 用于评审Azure架构在成本、运维、性能、可靠性和安全方面的最佳实践,识别设计差距或改进点的清单。 |
| 建议方案 | L44-L117 | 针对Azure工作负载的规范性最佳实践:涵盖跨服务与环境的成本优化、可靠性、性能、安全、DevOps/自动化、灾难恢复、可观测性以及可持续性设计 |
| 设计原则 | L118-L137 | 适用于Azure各类工作负载(如AI、SAP、Oracle、AVS、AVD、SaaS、HPC和关键任务型系统)的成本、可靠性、安全、性能、运维及可持续性设计原则与模式。 |
| 权衡策略 | L138-L147 | 指导在Azure设计中平衡成本、可靠性、性能、安全与运维的策略,包括区域/可用区选择以及架构决策的跨支柱权衡分析 |
| 服务指南 | L148-L199 | 针对核心Azure服务(AVD、AVS、网络、数据、应用及基础设施)的端到端、特定服务的Azure Well-Architected指导,涵盖设计、安全、运维、监控与优化。 |
| 工作负载模式 | L200-L267 | 针对特定Azure工作负载(AI、HPC、关键任务型、Oracle、SaaS、SAP、可持续性)的端到端设计、平台选择、运维、安全与优化模式。 |
| 评估问题 | L268-L281 | 针对Azure工作负载(AI、SaaS、AVD、AVS)在成本、可靠性、性能、安全、运维及关键任务就绪性方面的指导性评估与成熟度评审。 |
Design Review Checklists
设计评审清单
| Topic | URL |
|---|---|
| Use Cost Optimization design review checklist for Azure | https://learn.microsoft.com/en-us/azure/well-architected/cost-optimization/checklist |
| Use Operational Excellence design review checklist | https://learn.microsoft.com/en-us/azure/well-architected/operational-excellence/checklist |
| Use the Performance Efficiency design review checklist | https://learn.microsoft.com/en-us/azure/well-architected/performance-efficiency/checklist |
| Use reliability design review checklist for Azure | https://learn.microsoft.com/en-us/azure/well-architected/reliability/checklist |
| Use security design review checklist for Azure | https://learn.microsoft.com/en-us/azure/well-architected/security/checklist |
Recommendations
建议方案
Design Principles
设计原则
Tradeoffs
权衡策略
| Topic | URL |
|---|---|
| Evaluate Cost Optimization tradeoffs across WAF pillars | https://learn.microsoft.com/en-us/azure/well-architected/cost-optimization/tradeoffs |
| Balance regions and availability zones for reliability and cost | https://learn.microsoft.com/en-us/azure/well-architected/design-guides/regions-availability-zones |
| Analyze Operational Excellence tradeoffs across WAF pillars | https://learn.microsoft.com/en-us/azure/well-architected/operational-excellence/tradeoffs |
| Evaluate Performance Efficiency tradeoffs across WAF pillars | https://learn.microsoft.com/en-us/azure/well-architected/performance-efficiency/tradeoffs |
| Evaluate cross-pillar tradeoffs for reliability designs | https://learn.microsoft.com/en-us/azure/well-architected/reliability/tradeoffs |
| Analyze security tradeoffs across WAF pillars | https://learn.microsoft.com/en-us/azure/well-architected/security/tradeoffs |