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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.

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.

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.

This SDK enables Java developers to build real-time, scalable web applications using Azure Web PubSub. It leverages WebSocket-based messaging to implement critical features such as live chat applications, instant server-to-client push notifications, and real-time data synchronization. Key functionalities include targeted message delivery (to all, groups, or specific users), connection management, and secure client access token generation.

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.

This comprehensive SDK provides the .NET framework bindings to manage the Azure API Center service. It enables centralized API inventory management, governance, versioning, and lifecycle control (creation, definition upload, environment deployment). Ideal for building robust, scalable API management pipelines within the Azure ecosystem.

Provides the Azure Resource Manager SDK for .NET to manage Application Insights resources. It enables comprehensive observability, allowing developers to programmatically create, configure, and manage performance monitoring components, API keys, and availability tests (WebTests) within Azure cloud environments.

This comprehensive SDK provides a robust Python interface to interact with Azure Service Bus. It enables developers to implement reliable, scalable enterprise messaging patterns, including point-to-point queues, publish/subscribe topics, and session-based communication. Use it for building resilient, decoupled microservices and distributed cloud 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.

A comprehensive guide for building applications that interact with Azure Blob Storage using the Azure SDK for Java. Covers essential patterns including client initialization (via connection string or credentials), uploading/downloading data from files or streams, listing blobs, and managing containers. Ideal for developers building scalable cloud data storage solutions.

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.