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This article introduces you how to carry out Spring Cloud analysis, the content is very detailed, interested friends can refer to, hope to be helpful to you.

Spring Cloud is not a concrete framework, but can be understood as a collection of tools. Using various tools provided by Spring Cloud, we can quickly build a distributed system based on micro-services.

Each project of Spring Cloud is encapsulated based on multiple frameworks of Spring Boot and Netflix, and these frameworks are bound to the environment of Spring by automatic configuration, thus simplifying the use of these frameworks.

The "Spring Cloud Netflix" module under Spring Cloud mainly encapsulates the following items of Netflix:

Eureka: distributed middleware based on REST services, mainly used for service management.

Hystrix: fault-tolerant framework that helps us control the interaction of components between distributed systems by adding latency thresholds and fault-tolerant logic.

Feign: a REST client designed to simplify the development of Web Service clients

Ribbon: a load balancing framework that supports the communication between clients in a micro-service cluster. It mainly implements load balancing for middle-tier applications.

Zuul: provides proxy, filtering, routing and other functions for micro-service clusters.

In addition to the Spring Cloud Netflix module, Spring Cloud includes the following important modules:

Spring Cloud Config: configuration servers and configuration clients are provided for distributed systems, and configuration files in the cluster can be well managed by configuring them.

Spring Cloud Sleuth: service tracking framework, which can be integrated with data analysis and service tracking systems such as Zipkin, Apache HTrace and ELK to facilitate service tracking and problem solving.

Spring Cloud Stream: a framework for building message-driven microservices, which integrates "Spring Integration" to connect message broker middleware on the basis of Spring Boot.

Spring Cloud Bus: a cluster message bus that connects message agents such as RabbitMQ, Kafka, etc.

This is the end of the analysis on how to conduct Spring Cloud. I hope the above content can be of some help to you and can learn more knowledge. If you think the article is good, you can share it for more people to see.

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