Advantages of Spring Cloud Microservices

Overview

At present, many companies already have business systems developed based on the Spring Cloud microservice framework. As an established and mature microservice architecture, the Spring Cloud microservice framework provides many benefits for enterprise business development. We don’t need to discuss what these benefits are, Spring Cloud’s huge market application base has already pointed out its value. But is it flawless and has nothing to complement? There is no perfect product in the world, and so is Spring Cloud. The following shortcomings need to be improved:

  • There is no way to manage a single component well
  • Difficult to find a solution for performance monitoring
  • Difficult to flexibly scale to adapt to business concurrency
  • It is troublesome to deploy, including the microservice component itself and related databases and middleware

In view of the above 4 points, the Kato platform can make a natural complement.

Support the Full Life Cycle Management of a Single Component

Kato will treat each microservice component of Spring Cloud separately, and can perform in-depth management for each component, such as:

  • Open, close, restart, build, delete, rolling update, version rollback
  • Performance monitoring
  • Log management
  • Vertical/horizontal telescopic
  • Service discovery and registration based on dependencies
  • Persistent storage and shared storage between service components
  • Port settings and domain name configuration
  • Plug-in extension
  • Build source settings, including setting of various detailed parameters of MAVEN, and configuring automatic triggering of the build mechanism
  • Custom environment variable configuration, health detection mechanism, authority management

For details of service management, please refer to the document: Service Component Management

Performance Monitoring

Kato supports the performance monitoring program of plug-in extension mode, and supports the monitoring of average response time, throughput rate, online number of applications based on Http and Mysql protocols. And to detect the URL rankings that took more time in the last 5 minutes, which has a guiding effect on debugging system performance:

For details of performance monitoring, please refer to the document: Performance Monitoring

Vertical/Horizontal Scaling

Kato supports one-click scaling, which has two levels:

  • Vertical scaling: scaling the memory size used by a single service component
  • Horizontal scaling: start multiple back-end instances for service components, and automatically configure load balancing

The Spring Cloud microservice design has separated the program from the data, so the service component is regarded as a stateless service and directly scaled horizontally for rapid expansion. The results achieved are as follows:

The scaling of a single service component requires only one key

Multi-instance service components are correspondingly displayed in the topology diagram

Normal registration in the registration center

Rapid Deployment Based on Shared Libraries

Thanks to Kato’s unique shared library mechanism, after the first deployment, we can package the entire set of Spring Cloud microservices (including all microservice components and middleware such as databases) as an application template and publish it to the shared library. After the release is completed, the re-installation only requires one-click installation from the shared library, which greatly simplifies the deployment process.

In the process of deploying Spring Cloud for the first time, Kato Public Gridworkz Cloud provides a market application for the middleware used, such as Mysql Redis Rabbit, which can be pulled and installed with one click. Eliminate the trouble of building various middleware in traditional deployment.

For details of the application market, please refer to the document: Shared Library