Design and implementation of event-driven architecture in Serverless

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Author: Zen and the Art of Computer Programming

1 Introduction

With the development of technologies such as cloud computing, microservices, and container technology in recent years, more and more people have begun to turn to the cloud-native development model. The serverless architecture has gradually become a new type of application architecture advocated by major companies. It is unique in that it processes data streams in an event-driven manner, which has the advantages of high efficiency, flexibility, easy expansion, and pay-as-you-go. This article will take Amazon's Serverless architecture as an example, and describe how to implement an event-driven Serverless architecture in combination with actual cases.

2. Explanation of basic concepts and terms

2.1 What is event-driven architecture?

Event-Driven Architecture (Event-Driven Architecture, EDA) is an event-oriented application architecture style, which usually refers to the use of events to trigger the execution of functions or business logic. In traditional command-based applications, users often initiate requests and get responses. However, in an event-driven architecture, when an event occurs, the corresponding event processing logic will be triggered to respond and perform corresponding actions. A typical event-driven architecture includes four main components: message queue, event bus, event proxy, and event traceability. Among them, the message queue is used to receive and distribute events, and the event bus is used to aggregate events between different systems; the event agent is used to publish events and subscribe to interested events; event traceability is used to record event generation and consumption.

2.2 Why use Serverless architecture?

At present, Serverless has gradually become the mainstream architecture. For enterprises, it does not need to manage servers, and does not need to worry about issues such as resource management, automatic scaling, and availability, which can save costs and speed up research and development. Serv

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Origin blog.csdn.net/universsky2015/article/details/131875060