Building Serverless Workflows with Azure Functions and Storage Queues โ€” WalkSelf
โฑ 2 oras 30 min ๐Ÿ“š 25 aralin

Building Serverless Workflows with Azure Functions and Storage Queues

Learn to connect HTTP endpoints to storage queues in Azure to build reliable, asynchronous background processing workflows for modern web applications.

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Tungkol sa kursong ito

Modern web applications need to handle heavy background tasks without slowing down the user experience. By offloading time-consuming processes to asynchronous queues, you can build responsive and resilient systems using serverless architecture. In this text-only course, you will transition from understanding basic serverless concepts to building a reliable background job processing pipeline. You will learn how to accept incoming requests via an HTTP trigger and safely hand them off to a storage queue for decoupled processing. What you'll learn: - Understand the core principles of serverless architecture, triggers, and bindings. - Configure an HTTP trigger to accept incoming web requests and validate payload data. - Connect storage queue bindings to safely decouple web requests from background processing. - Implement reliable error handling, retry policies, and poison queue management. - Set up local development environments and manage configuration settings securely. - Apply modern observability concepts to track messages as they flow through your system. We begin with foundational definitions of serverless computing, triggers, and bindings, before moving step-by-step through configuring your first queue-based workflow. Through clear written explanations and code snippets, you will build a complete, production-ready integration pattern. This course is designed for beginner developers, cloud enthusiasts, and software engineers looking to understand serverless message patterns. No prior experience with cloud queues or Azure Functions is required. Start reading today to master the fundamentals of asynchronous serverless workflows.

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  • โšก Maikli at focused
    2 oras 30 min ng practical content

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