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This article focuses on "how to understand the micro-service architecture of cloud-based data governance". Interested friends may wish to take a look. The method introduced in this paper is simple, fast and practical. Let's let the editor take you to learn "how to understand the micro-service architecture of data governance under cloud origin".

Summary:

In the process of modern software development, the concept of micro-service was put forward by two American scholars as early as 2014, and Yunyuan thrived under the promotion of the linux Foundation in 2015. In just a few years, more and more companies have invested in research, and more and more technological frameworks have been born. This paper obtains the evaluation results by analyzing and testing the middleware technology under the micro-service architecture, and guides the case transformation of the data governance platform. The final case sharing aims to provide some guidance for solving the micro-service transformation of enterprise applications and the technical solutions and architecture adjustments encountered.

Key words:

Cloud Native, Micro Services, data Governance, Micro Services Architecture

The rapid popularity of cloud computing technology provides enterprises with a model based on the allocation of computing resources on demand, in which CloudNative literally translates to cloud native [1], which is a software architecture designed for cloud environment. Based on the idea of micro-service architecture, container technology as the carrier, resulting in a new product R & D operation mode. Enterprise applications can be deployed in IaaS, PaaS and SaaS platforms. For applications deployed in IaaS and PaaS platforms, the traditional monolithic mode leads to slow iterative update of cloud modules and slow response to user experience, which are all constraints to the improvement of product quality. This is also an important reason why SaaS providers have always stressed that "applications need to be micro-serviced" to ensure strong continuous delivery.

In the monolithic application model, all services are implemented by a unified code base and maintained by the owner of the development team. when a developer wants to modify a specified service, he must ensure that other services are not affected. With the increasing number of applications, more and more services, and more and more complex business implications, the cycle required to extend or modify a service becomes extremely difficult. In addition, the update deployment of a single application needs to restart all services, and a single application has a single point of failure, as long as there is a problem in one of the service initialization phases, it will lead to the total downtime of the whole application.

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