「azure」の検索結果

Build persistent agents on Azure AI Foundry using the Microsoft Agent Framework Python SDK.

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Generate draw.io editable diagrams (.drawio, .drawio.svg) from text, images, or Excel. Orchestrates 3-agent workflow (Analysis → Manifest → SVG generation) with quality gates. Use when creating architecture diagrams, flowcharts, sequence diagrams, or converting existing images to editable format. Supports Azure/AWS cloud icons. Triggers on draw.io, drawio, ダイアグラム, アーキ図, フローチャート, シーケンス図.

Cloud security posture assessment for AWS, Azure, and GCP. Tests IAM privilege escalation paths, public storage exposure, serverless attack surface, database exposure, logging gaps, container registry security, and cloud-specific attacks. Both authenticated (with cloud credentials) and unauthenticated (external) modes. Uses nuclei cloud templates, Prowler, ScoutSuite, manual IMDS/metadata probing, and deep AWS/Azure/GCP CLI enumeration. Produces: cloud architecture diagram, attack path map, findings per category, compliance mapping (SOC 2, PCI DSS 4.0, HIPAA, CIS), PoCs for confirmed exploits. Chains into /gh-export for issue filing.

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Use when configuring django-storages for cloud file storage - STORAGES setting, Amazon S3, Google Cloud Storage and Azure backends, signed URLs, CDN and caching, multipart uploads, or storage testing

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Azure guidance — subscriptions and RBAC, networking, AKS/App Service choices, Entra ID, and cost management.

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Use OpenAI models on Azure — enterprise deployment with private networking, compliance, and managed scaling.

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Create a new Azure DevOps wiki page. Use when the user wants to add a new wiki page, write project documentation in Azure DevOps wiki format, or update wiki page structure with mermaid diagrams in Traditional Chinese.

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Guidance for working with Pulumi ESC (Environments, Secrets, and Configuration). Use when users ask about managing secrets, configuration, environments, short-term credentials, configuring OIDC for AWS, Azure, GCP, integrating with secret stores (AWS Secrets Manager, Azure Key Vault, HashiCorp Vault, 1Password), or using ESC with Pulumi stacks.

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Create clear architecture views of Azure resources and their relationships. Use this skill when users ask for diagrams, topology summaries, dependency maps, or deployment overviews. Generates Mermaid, ASCII, and structured documentation for architecture review and compliance.

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Plan and execute cloud migrations to Azure from on-premises or other clouds. Use this skill when users ask for discovery, migration waves, cutover, validation, or modernization during migration.

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Build persistent agents on Azure AI Foundry using the Microsoft Agent Framework Python SDK.

日本語の概要は準備中です。原文の説明を表示しています。

Prepare Azure environments and prerequisites before deployment. Use this skill when users ask for readiness checks, environment setup, or preflight planning. Covers landing zones, networking, identity, governance, and cost controls per Cloud Adoption Framework.

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Assess and manage Azure service quotas and limits to prevent deployment and scaling failures. Use this skill when users ask about quota errors, capacity planning, regional availability, or resource limits.

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Design and operate Azure Storage services for durability, performance, and secure access. Use this skill when users ask about Blob, Files, Queues, Tables, or Data Lake storage patterns. Covers redundancy, tiering, access models, lifecycle policies, and compliance.

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Design an Azure AI gateway layer for centralized model routing, policy enforcement, and operational control. Use this skill when users ask about centralized AI traffic management, model governance, rate limiting, or gateway patterns.

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Locate and summarize Azure resources quickly across scopes using consistent query patterns. Use this skill when users ask where resources are, what they are configured as, or need inventory by type, region, or tag.

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Validate Azure deployments against functional, security, performance, and operational criteria before production release. Use this skill when users ask for readiness checks, health verification, or production sign-off gates. Covers Well-Architected Framework validation, SLA verification, and release readiness.

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Write and optimize Kusto Query Language (KQL) for Azure Data Explorer, Log Analytics, and monitoring workflows. Use this skill when users ask for KQL queries, telemetry analysis, incident investigation, or query optimization.

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Design asynchronous messaging patterns in Azure using Service Bus, Event Hubs, Event Grid, and Storage Queues. Use this skill when users ask for queueing, pub-sub, event streaming, retries, or decoupled system design. Covers delivery semantics, dead-lettering, idempotency, and monitoring.

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Map Azure architectures and operations to security and compliance controls. Use this skill when users ask for governance, policy enforcement, audit readiness, or regulatory alignment. Covers ISO, SOC2, HIPAA, PCI-DSS, and custom compliance frameworks.

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Design and apply Azure role-based access control with least privilege at the right scope. Use this skill when users ask about permissions, role assignments, access errors, or governance. Covers built-in roles, custom roles, managed identities, PIM, and access reviews per Well-Architected principles.

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Select and implement the right Azure compute platform for a workload. Decision tree guides choice based on workload characteristics, scaling needs, and operational maturity. Covers serverless, PaaS, containers, Kubernetes, and IaaS patterns.

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Diagnose Azure application and infrastructure issues with a structured, evidence-based workflow. Use this skill when users ask to troubleshoot outages, latency, failures, configuration drift, or anomalies. Root cause analysis using logs, metrics, traces, and dependency mapping.

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Azure AI VoiceLive SDK for Java. Real-time bidirectional voice conversations with AI assistants using WebSocket.

日本語の概要は準備中です。原文の説明を表示しています。