Shulou(Shulou.com)06/01 Report--

In this issue, the editor will bring you about the eight ways to simplify the deployment of micro services in the Service Mesh service grid. The article is rich in content and analyzes and describes for you from a professional point of view. I hope you can get something after reading this article.

Recently, managers no longer focus on debugging a single application server, on the contrary, modern systems are like a herd of cattle, studying the overall behavior is far more meaningful than a single server, distributed system is a typical example.

A microservice is a decentralized architecture that aims to adapt itself to changes in current traffic conditions by constantly adjusting itself. for example, there is a set of containers that handle the routing of client requests, which in turn means that the routing table is constantly changing. this reflects the changing location of application endpoints. At the same time, there are relics of the past in any architecture, from applications that must use a single large database server to legacy systems that bundle API to make it look service-focused.

Service grid is the most advanced micro-service model at present. It is built on containers and container orchestration and is equipped with a dedicated control plane for handling internal service communications. It is responsible for coordinating the security, routing, authentication, authorization and similar functions required for micro-services in a distributed grid. The service grid strips these functions from the application (or the application's service components) as the basic components of programmability. Although not all companies need such a complex service grid (although most of these companies perform hundreds of services), service grid is rapidly becoming the default architecture for companies that want to implement production-level micro-services.

Here are eight ways to implement a service grid to help you smooth the transition to microservices

1. Improve the message processing mechanism of microservices. The service grid ensures that you can monitor the entire architectural layer, not only to the server address in the network, but also to messages that convey server address information. For example, you may want to track "failure" messages, but these messages are often lost in traditional cloud architectures. The advantage of the service grid is that it can not only ensure the delivery of the message, but also return error information when the message does not reach its destination.

2. Use the same mode of operation and maintenance as traditional applications. For enterprise networks, customizability and flexibility are the most important. The service grid is designed to adapt to modern distributed applications. But the underlying technologies such as ingress controllers, load balancers, and agents are the same as the data-level technologies of traditional monolithic applications. In implementing a service grid, organizations can leverage the same technologies and skills as operating a modern, software-based application delivery infrastructure.

3. Use multiple cloud services flexibly. Service grid solves the cloud network problem of modern applications. The technologies that support the data plane and control plane of the service grid are independent of any particular architecture, so they can be executed on public or private architectures, whether bare metal, containers, or virtual machines. This flexibility even allows the service grid to deal with future application architectures, taking advantage of its scale, global replication, and deep performance tuning. Your service grid will be the guarantee for the realization of all potential advantages in the operational model cloud architecture scenario.

4. Improve the visibility of micro-services. The metrics of distributed systems are like a black box to us, and grid services provide us with a way to take a deeper look at the metrics of decentralized systems. It collects performance metrics over time to provide the team with long-term indicators of service availability. This provides operators with a way to observe the reliability and performance of the service, enabling them to optimize the system step by step.

5. More efficient operation and maintenance and more effective implementation of SLA (service level agreement). The tracking capabilities provided by the service grid are critical for debugging and troubleshooting, while ensuring that the service implements service level agreements (SLA). The service grid performs a lot of work, including enforcing policies and tracking to see if these policies are met. It provides a place for managers to implement cloud application management and policies at the network layer.

6. Simplify the implementation of micro-service. Another advantage of service grids is that they can be easily deployed. In the past, solutions required developers to encode in-service functions into each microservice. This requires rewriting the application and maintaining libraries in different programming languages. The service grid helps developers abstract these transactions. Developers can easily deploy them by simply calling the necessary messaging and service discovery capabilities, while the source code of micro-services only contains code related to business logic.

7. Speed up the launch time of new services. In the past, library solutions, such as Finagle, Hystrix, and Stubby, required developers to intervene for a long time and forced developers to encode redundant capabilities into each service. Another easier approach is to place a sidecar proxy in each microservice and wire them together, which is what service grid is good at, so there will be more cloud applications choosing service grid architecture in the future. In short, the service grid ensures the productivity of developers and enables them to bring more services to market more quickly.

8. Ensure the security of communication between services. Communication between services may be cross-cloud, cross-data center, or cross-continental, and the service grid ensures the security of these communications, which encapsulates all communications and coordinates them at the controller level, through encryption in the pipeline. contact policies and service permissions address security issues.

These are the eight ways to simplify the deployment of micro-services in the Service Mesh service grid shared by the editor. If you happen to have similar doubts, please refer to the above analysis to understand. If you want to know more about it, you are welcome to follow the industry information channel.

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