Results for “azure-architecture-center”

Analyze Azure resource groups and generate detailed Mermaid architecture diagrams showing relationships between resources.

Build AI applications on Microsoft Foundry using the Azure AI Projects Python SDK, including agent creation, tool integration, thread management, and evaluation.

Build persistent agents on Azure AI Foundry using the Microsoft Agent Framework Python SDK, with support for function tools, hosted tools, MCP servers, conversation threads, and streaming responses.

Manage Azure AI Foundry projects with .NET SDK: create and run agents, manage connections, datasets, deployments, evaluations, and indexes.

Manage Azure API Center resources including APIs, versions, definitions, deployments, and metadata using the Python management SDK.

Architect and provision enterprise Azure infrastructure from workload descriptions, generating Bicep or Terraform for networking, identity, security, and multi-resource topologies aligned with the Well-Architected Framework.

Build AI applications using the Azure AI Projects SDK for TypeScript, managing agents, connections, deployments, datasets, indexes, and evaluations.

Analyze Azure resource groups and generate detailed Mermaid architecture diagrams showing relationships between resources.

Design Azure infrastructure using natural language or analyze existing resources to generate architecture diagrams, refine them through conversation, and deploy with Bicep.

Designs Azure architectures and configures compute, storage, database, networking, identity, and security services.

Provisions and manages Azure cloud services for Flutter backends, including AKS clusters, Azure Functions, SQL databases, Cosmos DB, Blob Storage, and Key Vault.

Use when using Azure CLI.

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.

Azure Architecture Diagram Generator

Design and plan end-to-end Azure IoT and Smart City solutions: requirements, architecture, security, operations, cost, and a phased delivery plan with concrete implementation artifacts.

Generate infrastructure code (Bicep/Terraform), azure.yaml, and Dockerfiles for Azure deployment, with a mandatory planning workflow.

Authenticate to Azure services from Rust using Microsoft Entra ID credentials, including managed identity, service principal, and local development tools.

Execute Azure deployments for already-prepared applications using azd up, azd deploy, terraform apply, and az deployment commands with built-in error recovery and verification.

Configure Azure API Management as an AI Gateway to govern AI models, MCP tools, and agents with policies for caching, rate limiting, content safety, and cost control.

Import existing Azure resources into Terraform using Azure CLI discovery and Azure Verified Modules (AVM).

Integrate with Azure AI services including Search, Speech, OpenAI, and Document Intelligence for search, transcription, OCR, and text-to-speech tasks.

Provision and manage Azure Cosmos DB accounts, databases, containers, throughput, and RBAC using the .NET Azure Resource Manager SDK.

Manage container images, artifacts, and repositories in Azure Container Registry using the Python SDK.

Query logs and metrics from Azure Monitor and Log Analytics workspaces using the Python SDK.

Run pre-deployment validation checks for Azure readiness, including configuration, infrastructure (Bicep or Terraform), RBAC role assignments, and managed identity permissions.

Integrate Azure Maps location-based services into .NET applications for geocoding, routing, rendering, geolocation, and weather data.

Diagnose and resolve issues with Azure Event Hubs and Service Bus SDKs, including connection failures, authentication errors, message processing problems, and SDK configuration.

Authenticate to Azure services using the Azure Identity library for JavaScript, supporting DefaultAzureCredential, managed identity, service principals, and interactive browser login.

Perform CRUD operations, run queries, and manage containers on Azure Cosmos DB NoSQL API using the Python SDK.

Manage Azure Machine Learning resources including workspaces, jobs, models, data, compute, and pipelines using the SDK v2 for Python.

Send, receive, and manage Azure Queue Storage messages using the official Rust SDK.

Provides shared authentication utilities and data structures for Azure Communication Services, including token credential management, user identifiers, and token refresh.

Create and manage persistent AI agents with threads, messages, runs, and tools using the Azure SDK for Java.

Provides reference information and CLI commands for Azure Storage services including Blob, File Shares, Queue, Table, and Data Lake, along with guidance on access tiers, redundancy options, and SDK usage.

Debug and troubleshoot Azure production issues using AppLens, Azure Monitor, resource health, and systematic diagnosis flows for services like App Service, Functions, AKS, Container Apps, and Messaging.