Skill UI

A comprehensive Python SDK for interacting with Azure Container Registry (ACR). This tool allows developers to manage the full container lifecycle, including listing repositories, handling tags, manipulating manifests, downloading artifacts, and managing container images within Azure's cloud environment. Ideal for implementing robust CI/CD pipelines and container automation.

A comprehensive Python SDK for interacting with Azure Container Registry (ACR). This tool allows developers to manage the full container lifecycle, including listing repositories, handling tags, manipulating manifests, downloading artifacts, and managing container images within Azure's cloud environment. Ideal for implementing robust CI/CD pipelines and container automation.

A comprehensive client library for interacting with Azure Cosmos DB's NoSQL API in Rust. It enables performing core database operations, including CRUD (Create, Read, Update, Delete), patching, and managing globally distributed data. Ideal for building robust, data-intensive, and high-performance backend services on the Azure cloud platform.

This library provides a comprehensive Java client for interacting with Azure Table Storage and Cosmos DB Table API. It supports all standard CRUD operations (Create, Read, Update, Delete), advanced querying using OData filters, and batch transactions. Ideal for building scalable, high-performance applications requiring structured NoSQL data persistence on Azure Cloud.

A comprehensive Python SDK for interacting with Azure Table Storage and Cosmos DB Table API. This library enables developers to perform full NoSQL key-value operations, including creating, reading, updating, and deleting (CRUD) entities, executing complex queries using filtering, and managing batch transactions. It supports both synchronous and asynchronous operations, making it ideal for building resilient, high-throughput cloud applications.

The official Azure Event Grid SDK for .NET. This comprehensive client library enables developers to easily publish, subscribe, and consume events using event-driven architecture patterns. It supports both push delivery (Topics/Domains) and pull delivery (Namespaces), handling standard EventGrid and CloudEvent formats. Ideal for building scalable, reactive microservices on Azure.

The official Azure Event Grid SDK for .NET. This comprehensive client library enables developers to easily publish, subscribe, and consume events using event-driven architecture patterns. It supports both push delivery (Topics/Domains) and pull delivery (Namespaces), handling standard EventGrid and CloudEvent formats. Ideal for building scalable, reactive microservices on Azure.

A comprehensive SDK client for Java designed to build robust, event-driven applications. It facilitates both publishing and receiving events using Azure Event Grid, supporting both native Azure EventGridEvent schemas and standardized CloudEvents. Ideal for implementing Publish/Subscribe patterns and integrating microservices across the Azure ecosystem.

A comprehensive SDK client for Java designed to build robust, event-driven applications. It facilitates both publishing and receiving events using Azure Event Grid, supporting both native Azure EventGridEvent schemas and standardized CloudEvents. Ideal for implementing Publish/Subscribe patterns and integrating microservices across the Azure ecosystem.

A comprehensive SDK for Python to interact with Azure Event Grid. It enables developers to build robust, event-driven architectures (EDA) by providing mechanisms to publish standard CloudEvents and Azure-native EventGridEvents. Use it for implementing complex publish/subscribe patterns and integrating services within the Azure cloud ecosystem.

A comprehensive SDK for Python to interact with Azure Event Grid. It enables developers to build robust, event-driven architectures (EDA) by providing mechanisms to publish standard CloudEvents and Azure-native EventGridEvents. Use it for implementing complex publish/subscribe patterns and integrating services within the Azure cloud ecosystem.

Master expert patterns for building robust serverless applications using Azure Functions. This guide covers multi-language support (.NET, Python, Node.js), including the isolated worker model, Durable Functions orchestration, cold start optimization, and implementing various triggers (HTTP, Timer, Blob). Essential for developing scalable, production-ready cloud backend services.