Skill UI

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.

Python exporter that sends OpenTelemetry traces, metrics, and logs directly to Application Insights, supporting connection strings, Azure AD credentials, offline storage, and sampling configuration for custom telemetry pipelines.

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 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 a comprehensive client for building advanced search applications using Azure AI Search with TypeScript. It supports cutting-edge retrieval methods including Vector Search, Hybrid Search (combining keywords and vectors), and Semantic Search. Ideal for developers building e-commerce, documentation, or knowledge retrieval systems requiring deep search capabilities.

This SDK provides comprehensive Java support for managing secrets within Azure Key Vault. It enables developers to securely store, retrieve, update, list, delete, and recover sensitive configuration data, such as API keys, database passwords, and connection strings. It is essential for building secure, production-ready applications that comply with best security practices.

The comprehensive official SDK for implementing enterprise-grade messaging patterns in .NET applications. It provides reliable connectivity to Azure Service Bus, supporting queues, topics, subscriptions, and ordered sessions. Ideal for building microservices, asynchronous communication, and durable event-driven architectures.

This SDK provides a comprehensive Python interface for interacting with Azure Blob Storage, Microsoft's scalable object storage service. It enables users to perform core object storage operations, including uploading, downloading, listing, deleting blobs, managing containers, and setting custom metadata. The library supports both synchronous and asynchronous workflows, making it ideal for building robust data pipelines, data lakes, or cloud-native applications that require reliable, scalable file storage.