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This article introduces the relevant knowledge of "what are the principles of micro-service". In the operation process of actual cases, many people will encounter such difficulties. Next, let Xiaobian lead you to learn how to deal with these situations. I hope you can read carefully and learn something!

First, focus on one problem. The first step toward microservices is to set unique questions for the service. For example, suppose an automotive trade organization wants to build an app that connects potential buyers with sellers. Based on this, there will be specialized microservice components that handle the buying, selling, or reselling of cars, and no other use for any service.

Payment is another important component of design. While these two microservices can be combined and used with each other, they do not converge. Each element handles a different task and always works independently.

Second, it has discrete properties. All of the logic and data that microservices need to perform their work exists internally and is completely isolated from other microservice components.

Although microservices often require their own configuration to make their internal components function properly, this configuration does not affect the configuration of other microservices. Only when this design principle is firmly adhered to can developers scale services at any time according to actual load requirements.

Third, with its own data. Microservices should not only carry their own data, but they should also be independent of other microservice components. In some cases, microservices may even have their own databases. In other scenarios, microservices may share the same database with other services, but still have their own unique database tables in that database.

Typically, developers use shared databases to reduce costs, but this clearly violates the design principles of microservices architecture.

Developers often need to design for both data independence and redundancy. The way each microservice is designed with its own data may lead to data duplication at the application level, but developers are beginning to accept the basic fact that microservice design patterns inevitably lead to data redundancy.

To understand the problem of duplication of data between different microservices, the most intuitive example is customer data stored in different hands of e-commerce platforms. Specifically, it is likely that the same user is registered with Amazon and Walmart, so both sites hold a set of data about that user. But because the two sites remain discrete and isolated, both are aware that the user's data also exists on the other site unless they have explicit data access authorization.

Fourth, it is transferable. The transitivity of microservices means that we can "package" them into deployment units, such as container mirrors or serverless functions, and deploy them to a given target at any time through CI/CD processes.

For example, developers can easily deploy deliverable microservices to cloud providers like Google Cloud. In case they need to deploy to another cloud platform, developers can pass the same microservice to AWS at any time.

Fifth, it is temporary. The temporary nature of microservices means that we can destroy them at any time and then immediately restore the service to the last known state.

The temporary nature of the container not only determines how the application state is managed after the current container is offline, but also affects the management thinking of active threads and even the specific design of active threads, ensuring that there are no thread-based dependencies in the code.

The content of "What are the principles of microservice" is introduced here. Thank you for reading. If you want to know more about industry-related knowledge, you can pay attention to the website. Xiaobian will output more high-quality practical articles for everyone!

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