Understand the advantages and principles of enterprise microservice architecture
Always pay attention to new technologies, languages and frameworks to revolutionize your organization. If you are still messing with the code in the overall framework in your cube, then you may be living in the past where there was a small application and some employees to handle it. Now the situation has changed! You need to be one step ahead and adopt revolutionary technologies, of which microservices is one of the leaders. Are you looking for the best reason to spend time learning about microservices in order to become an architect and use them to develop applications?
The following are my top ten reasons for learning microservices:
Now, let me help you understand these in more detail.
When a product built by a developer becomes stable and available to customers in the market, the developer team is mainly divided into the following activities.
In this case, if the product is based on a single framework, every change to the code base must go through all stages of construction, maintenance, and deployment.
In this case, microservices are like a savior!
Microservices solve organization-based problems, making it easy to debug and test applications. With the help of this framework, continuous delivery, the testing process and the ability to provide error-free applications are greatly improved.
Unlike monolithic applications where dedicated teams work for each discrete function (such as processing databases, maintaining server-side logic), microservices use a continuous delivery model to handle the entire life cycle of the application.
Developers, operators, and test teams simultaneously perform activities such as building, testing, and debugging on a single service.
This development method enables the code to be continuously developed, tested, and deployed, so you don't have to rewrite the code every time you make a change, just use it from an existing library!
The microservice architecture encourages the use of the most appropriate technology to meet the specific needs of the service. Each service is free to use its own language, framework or ancillary services. Even with this different framework, services can still easily communicate with other services in the application.
The traditional service-oriented architecture (SOA) involves heavyweight inter-process communication protocols.
However, microservices follow the concept of decentralization and separate services so that they can be treated as independent entities. Therefore, in the microservice architecture, each team handles various entities and then communicates with each other to handle different functions.
Following the microservice architecture, the complete framework is modularized into discrete components. This helps the application development team focus on one specific job at a time. Therefore, this in turn simplifies the entire coding and testing process.
If you talk about scalability, then microservices will outperform many other architectural choices.
Because each service is a separate component in the framework, you can extend a single function or service without extending the entire application. Key business services can be deployed on multiple servers to improve availability and performance without affecting the performance of other services.
Microservices can easily identify scaling bottlenecks, and then resolve these bottlenecks at each microservice level.
Each service is an independent entity in the microservice framework, which allows localized changes, higher quality trust and end-to-end regression solutions.
Therefore, even if one service or component of the application fails, the entire application will not stop running. Instead, only specific services or components need to be rebuilt by the developer.
Therefore, this reduces the risk of a complete breakdown of the business application!
Microservices have their own private databases to collect, ingest, process, and deliver data to achieve their respective business functions.
Therefore, you can say that microservices cooperate with the data pipeline architecture to coordinate the collection, extraction, processing, and delivery of big data, and handle small tasks in the form of microservices.
Multiple teams are dedicated to independent services for easy deployment. The improved efficiency of microservices reduces infrastructure costs, minimizes downtime, optimizes resources, and makes code reusable. Therefore, with the help of these services, you don't have to run on a large machine, but the basic machine will serve you.
According to Indeed.com, the average salary for "microservices" ranges from approximately US$97,994 per year for software engineers to US$116,027 per year for senior software engineers. Not only at the individual level, but many high-growth companies such as Netflix, eBay, PayPal, Twitter and Amazon use microservices in their structures.