Skill UI

This SDK provides the comprehensive management plane interface for Azure API Management (APIM) within the .NET framework. It enables developers to programmatically provision, update, and manage the entire lifecycle of APIM resources, including APIs, Products, Subscriptions, Policies, and Users, directly through the Azure Resource Manager. It is essential for automating infrastructure setup and CI/CD pipelines.

This is the .NET SDK for managing Arize AI Observability and Evaluation resources within Azure Resource Manager (ARM). It provides programmatic access to create, read, update, and delete AI organization resources. It is essential for MLOps professionals and developers who need to monitor, track, and evaluate the performance of AI models deployed on Azure.

This is the Azure Resource Manager SDK for .NET, designed to streamline the deployment and management of Weights & Biases (W&B) ML experiment tracking instances directly through Azure Marketplace. It allows developers to programmatically create, configure, and manage W&B environments, including setting up marketplace details, managing admin users, configuring Single Sign-On (SSO), and ensuring robust ML observability within an Azure ecosystem. Ideal for MLOps pipelines.

This is the Azure Resource Manager SDK for .NET, designed to streamline the deployment and management of Weights & Biases (W&B) ML experiment tracking instances directly through Azure Marketplace. It allows developers to programmatically create, configure, and manage W&B environments, including setting up marketplace details, managing admin users, configuring Single Sign-On (SSO), and ensuring robust ML observability within an Azure ecosystem. Ideal for MLOps pipelines.

Automates Azure ML Deployer workflows by offering best-practice guidance, code/config generation, and validation for serving, MLOps pipelines, monitoring, and production optimization.

Automates Azure ML Deployer workflows by offering best-practice guidance, code/config generation, and validation for serving, MLOps pipelines, monitoring, and production optimization.

This SDK provides the management plane capabilities for Azure Cosmos DB within the .NET ecosystem. It allows developers to programmatically provision and manage core infrastructure resources, such as Cosmos DB accounts, databases, containers, throughput settings, and perform resource lifecycle operations using Azure Resource Manager (ARM). It is designed for infrastructure automation and setup tasks.

This SDK provides comprehensive programmatic management capabilities for Azure MySQL Flexible Server deployments using C# and the .NET framework. Developers can automate the entire database lifecycle, including server creation, database provisioning, configuring firewall rules, updating server parameters, and managing Entra ID administrators, all through Azure Resource Manager APIs. Ideal for DevOps pipelines and cloud infrastructure automation.

This SDK provides the management plane interface for provisioning and managing Azure SQL resources (like servers, databases, elastic pools, and firewall rules) within the Azure Resource Manager framework. Built for .NET developers, it allows users to programmatically handle infrastructure setup and configuration, making it ideal for DevOps automation and infrastructure-as-code workflows.

Provides automated guidance for setting up canary deployments in ML production environments, covering model serving, MLOps pipelines, monitoring, and configuration validation.

A comprehensive guide to advanced frontend architectural patterns for building robust and scalable user interfaces using React and Next.js. Covers essential techniques such as Compound Components, Render Props, custom hooks (e.g., useQuery, useDebounce), and advanced state management using Context and Reducers, ensuring optimal performance and maintainability.

Automated assistant that walks through cert manager setup within DevOps Advanced, offering step-by-step guidance, industrial best practices, production-ready configs, and validation whenever cert manager setup is requested or explored.