Skill UI

Comprehensive guide for authenticating to various Azure services using the official Azure Identity SDK in TypeScript. This SDK supports multiple credential types, including DefaultAzureCredential, Managed Identity, Service Principal (secrets/certificates), and integration with Azure CLI/PowerShell, ensuring secure and flexible authentication across local development, CI/CD, and cloud environments.

This client library provides robust functionality for securely accessing, storing, and managing sensitive secrets, such as passwords and API keys, within Azure Key Vault using the Rust programming language. It supports full CRUD operations including getting specific versions, updating properties, and listing all secrets, making it essential for building secure, enterprise-grade cloud applications.

This comprehensive SDK provides a Python interface for Azure Web PubSub Service, enabling real-time, scalable messaging via WebSocket connections. It allows developers to implement robust Publish/Subscribe (Pub/Sub) patterns, supporting message broadcasting to all clients, targeted messages to specific users, and advanced group management. Ideal for building high-concurrency, real-time communication features.

A comprehensive SDK for running Playwright end-to-end tests at scale. It leverages cloud-hosted browsers within the Azure ecosystem, allowing developers to execute reliable, large-scale automated tests. Features include integrated Azure portal reporting, seamless authentication using Microsoft Entra ID, and strong support for CI/CD pipelines.

A comprehensive SDK for running Playwright end-to-end tests at scale. It leverages cloud-hosted browsers within the Azure ecosystem, allowing developers to execute reliable, large-scale automated tests. Features include integrated Azure portal reporting, seamless authentication using Microsoft Entra ID, and strong support for CI/CD pipelines.

A comprehensive Java SDK client for securely and efficiently sending custom application logs to Azure Monitor. It utilizes Data Collection Rules (DCR) and Data Collection Endpoints (DCE) to manage the ingestion process. The client supports batch uploads, concurrent processing, and robust error handling, making it ideal for integrating custom logging into Azure Log Analytics workspaces.

This SDK provides a dedicated Python interface for securely sending custom logs to Azure Monitor Log Analytics workspace. It utilizes the Logs Ingestion API, supporting features like batch compression, advanced error handling, asynchronous uploads, and compatibility with various authentication models, including sovereign clouds.

This SDK provides comprehensive support for automatically instrumenting Node.js applications to collect observability data. It integrates distributed tracing, metrics, and logs using the OpenTelemetry standard, allowing seamless data export and monitoring within Azure Monitor. It supports various resource types and connection methods.

This SDK provides a comprehensive Java client for interacting with Azure Monitor. It allows developers to execute powerful Kusto Query Language (KQL) queries against Log Analytics workspaces to retrieve detailed operational logs, and to query time-series metrics from various Azure resources. It supports both synchronous and asynchronous operations, making it ideal for building monitoring, auditing, and analytics features in Java applications.

This module provides comprehensive connection methods for Azure Database for PostgreSQL Flexible Server using Node.js and TypeScript with the pg package. It supports both traditional password authentication and modern, recommended Microsoft Entra ID (passwordless) authentication. The guide demonstrates best practices, including connection pooling, parameterized queries to prevent SQL injection, and robust transaction management (BEGIN/COMMIT/ROLLBACK).

The official management plane SDK for provisioning and managing Azure Durable Task Scheduler resources within Azure Resource Manager (ARM). This library allows developers to programmatically create, update, and delete schedulers (supporting both Dedicated and Consumption SKUs) and associated task hubs using .NET. It is essential for managing the lifecycle of durable orchestration workflows in the cloud.

This SDK provides comprehensive connectivity to Azure AI Search for .NET developers. It enables building sophisticated search applications, supporting full-text search, vector search, semantic understanding, and hybrid query capabilities. Developers can manage indexes, perform document CRUD operations, and implement advanced search patterns like faceted search and autocomplete.