Spring Cloud is a module in Spring that facilitates the RAD(Rapid Application Development) methodology to the Spring Framework. Through Spring cloud, we can rapidly build cloud-based allocation. With the help of Spring cloud, some general patterns in the distributed systems are built quickly.
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Spring Cloud is considered a framework used for developing strong cloud applications. It is also used for building Microservices applications. It is used for developing configuration management, cluster state, a control bus, intelligent routing, etc.
While developing microservices through service cloud, the main issue is handling main services like discovery service and configuration service. To deal with these issues, it makes every service depend on each other.
This feature discusses how a microservice communicates with other dependent services through a eureka server or service registry. The sequence of this communication is as follows:
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This feature enables an application to work with another application through a third party. It also provides a global ordering or global state without sacrificing existence.
Load balancing is applied to distribute network traffic to various servers. The main objective of load balancing is to optimize throughput, enhance efficiency, reduce response time, etc.
To configure each instance of Microservices, we use a distributed configuration.
It is used to assure that no two threads use the same resource concurrently.
Distributed Messaging gives the advantage of scalability, reliability, and persistence.
The components of Spring Cloud is as follows:
This component provides client-side and server-side support for external configuration in distributed systems. The external properties of all applications can be handled through the config server. To store config, the spring cloud config server uses SVN, Git, Vault, etc.
It allows sending API requests to connect services. It gives the library to develop an API gateway for spring MVC.
The other functionality of Spring cloud is distributed tracing. Tracing is used to get data from the application. Tracing can lead to more requests to different microservices. To allow tracing, we have to add “Spring Cloud Sleuth” to our project. Sleuth is accountable for storing timing. Timing is sent to Zipkin.
Zipkin is mainly designed to analyze latency problems. It reveals the HTTP endpoint utilized for gathering input data. If we want to include tracing in our project, we have to add a spring-cloud-starter-Zipkin dependency.
Spring Cloud pipeline is a stubborn pipeline, and for every application, the pipeline is created automatically. Deploying, testing, and building different services are important to have a good cloud-native application.
Jenkins pipeline gives a collection of tools developed for modeling simple and sophisticated delivery pipelines as code. The Jenkinsfile is a test file used to store the definition of the pipeline.
Service Discovery is used to identify the services and devices over the network. Service discovery tells us how microservices and applications link each other. In service discovery, we have two discovery patterns; they are:
1. Client-side discovery:
In client-side discovery, the client determines the network location of existing services. It uses a load-balancing algorithm to select the service from the existing services.
2. Server-side Discovery:
In Server-side discovery, with the help of a load-balancer, the client renders an HTTP request to a service. The load balancer with the help of a server registry sends every request to the existing service instance.
The library of Netflix named “ Hystrix” implements a circuit breaker pattern. Circuit breakers compute when the circuit should be opened and when it should be closed. When the entire service are closed, the circuit breaker will handle this situation. Circuit breakers contain three states; they are as follows:
As the cloud application contains several microservices, so communication is essential. Spring cloud does communicate with the help of HTTP requests or messaging.
Let us see some of the Projects that use Spring Cloud
It is a section of the Spring cloud umbrella project. It allows simple integration with AWS(Amazon Web services).
It is used for developing on-demand Microservices. It uses built-in spring idioms and best procedures to develop microservices. The main elements of Spring Cloud Stream are as follows:
It gives resources for developing a cluster property in a distributed system.
It allows the execution of business logic through functions. It is able to run independently or as Paas(Platform as a service).
It is used for executing tracing solutions in distributed systems.
It gives service discovery and configuration management through an apache zookeeper.
It incorporates the pivotal cloud foundry with the application. It gives service discovery and simple implementation of OAuth2 and SSO.
It gives client-side and server support for external configuration in the distributed systems. Through the config server, you can handle the external properties of the applications through all environments. With the help of Spring cloud-config, you can handle the configuration between different environments, because the application passes through different environments like a deployment pipeline to test-to-development. Features of Spring Cloud Config are as follows:
It provides Integration of Netflix and OSS for the application of Spring Boot with the help of autoconfiguration. The features of Spring Cloud Netflix are as follows:
It is used for developing API Gateway over Spring MVC. The main objective of Spring Cloud Gateway is to provide an efficient method to route towards API.
The Spring Cloud DataFlow gives resources to establish difficult topologies for batch data pipelines and streaming. Features of Dataflow are as follows:
It is a rest-based server applied for AWS cloud services for load balancing.
The following steps are necessary to set up a naming server.
In Microservices, Virtualization is a method to copy the performance of particular components in cloud-based applications, API-driven applications. In microservice, we must have virtualization, because these days cloud applications use several microservices for communicating with each other. In this environment, we will face some problems; they are:
To solve these problems, we have a method called service virtualization. Through this method, we can simulate or capture the services. Hoverfly is a recently developed tool that uses GO programming Language for service Virtualisation.
|Related Article: Learn Microservices|
Spring Cloud is a section or a part of Spring. It is used to build cloud applications. As the demand for cloud applications is increasing, the demand for cloud applications is also increasing. Microservices use the Spring cloud to create communication among the services. So, knowledge on spring cloud is essential to professionals who work on Cloud applications.
Ravindra Savaram is a Content Lead at Mindmajix.com. His passion lies in writing articles on the most popular IT platforms including Machine learning, DevOps, Data Science, Artificial Intelligence, RPA, Deep Learning, and so on. You can stay up to date on all these technologies by following him on LinkedIn and Twitter.