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This library offers comprehensive Java clients for interacting with Azure Event Hubs. It enables developers to build robust, high-throughput, real-time streaming applications and event-driven architectures. Features include sending single events, batching events, sending to specific partitions, and using the production-grade EventProcessorClient with checkpointing for reliable data processing.

This SDK provides comprehensive Python support for interacting with Azure Event Hubs, a high-throughput streaming platform. It allows developers to build robust data ingestion pipelines, acting as both event producers (sending data) and event consumers (receiving data). Key features include efficient batch processing, partition key management, and reliable checkpointing using Azure Blob Storage for production-grade stream applications.

This SDK provides comprehensive Python support for interacting with Azure Event Hubs, a high-throughput streaming platform. It allows developers to build robust data ingestion pipelines, acting as both event producers (sending data) and event consumers (receiving data). Key features include efficient batch processing, partition key management, and reliable checkpointing using Azure Blob Storage for production-grade stream applications.

A comprehensive client library for interacting with Azure Event Hubs in Rust. It facilitates robust data streaming ingestion by providing functionality for both producers (sending event batches) and consumers (receiving and processing events from partitions). Designed for building high-throughput, real-time, event-driven data pipelines and architectures.

A comprehensive client library for interacting with Azure Event Hubs in Rust. It facilitates robust data streaming ingestion by providing functionality for both producers (sending event batches) and consumers (receiving and processing events from partitions). Designed for building high-throughput, real-time, event-driven data pipelines and architectures.

A comprehensive guide and implementation guide for using the Azure Event Hubs SDK in TypeScript. It demonstrates best practices for high-throughput event streaming, including batch event sending, targeted partitioning, and robust event consumption. Covers advanced features like checkpointing, starting from specific positions, and handling event properties, making it ideal for building scalable, real-time data ingestion pipelines.

A comprehensive guide and implementation guide for using the Azure Event Hubs SDK in TypeScript. It demonstrates best practices for high-throughput event streaming, including batch event sending, targeted partitioning, and robust event consumption. Covers advanced features like checkpointing, starting from specific positions, and handling event properties, making it ideal for building scalable, real-time data ingestion pipelines.

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 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.

A comprehensive guide on using the Azure Service Bus SDK in TypeScript for enterprise messaging. It demonstrates core asynchronous patterns, including sending/receiving messages from queues, publishing to topics with subscriptions, managing message sessions, and handling advanced features like dead-lettering and scheduled messages. Essential for building robust, scalable, event-driven microservices.

Provides automated calendar event creation guidance and production-ready code for business automation workflows, covering spreadsheet, email, and process optimization scenarios where users ask about calendar event creator patterns.

Automates Calendly scheduling, event inspection, invitee management, availability queries, and organization administration via the Rube MCP (Composio) toolkit, requiring a prior schema fetch and active Calendly connection.