Distributed service grid solution based on go-zero

With the advent of the cloud era, more and more applications are migrating to the cloud. However, applications on the cloud face many challenges, such as high availability, high concurrency, load balancing, security and other issues. In order to solve these problems, distributed service mesh is widely used. This article will introduce the distributed service grid solution based on go-zero.

1. Service Grid Overview

A service grid is an infrastructure that handles application communication. It can solve the communication and management problems between multiple containerized applications. A key advantage of a service mesh is that it can automate communication across containers and manage service discovery, load balancing, failure recovery, traffic conditioning, and more.

A service mesh typically consists of a set of agents that manage communication between applications. Agents are capable of handling not only internal communications but also external communications. As a network infrastructure, a service mesh leverages technologies such as load balancing, autoscaling, and traffic management to ensure high availability and help applications prepare for disaster recovery.

2. go-zero solution

go-zero is a high-performance microservice framework with the characteristics of high scalability, efficiency, and easy learning. go-zero provides a set of solutions for building distributed microservices, including RPC framework, API gateway, current limiting, circuit breaker, distributed cache, etc. The beauty of the go-zero solution is that all components are tightly integrated together, making it easier for developers to build and maintain microservices.

1. Service registration and discovery

The go-zero solution uses etcd as the default service registration and discovery. Store detailed information about each microservice in etcd, including its IP address, port number, etc. When an application needs to communicate with a microservice, it can look up the location of the microservice in etcd by the service name (e.g. api).

2. Load balancing

The go-zero solution provides a set of load balancing mechanisms. Load balancers can automatically monitor the status of microservices and distribute traffic based on actual needs. go-zero provides two common load balancing algorithms: round robin and random.

3. Current limiting and circuit breaker

go-zero supports distributed current limiting mechanism and circuit breaker strategy. The current limiting mechanism can protect microservices from unlimited traffic attacks. Circuit breakers are a technology that monitors requests to a microservice and provides feedback, breaking the link to that microservice if the results are bad. This helps prevent microservice avalanches from occurring.

4. Distributed cache

The go-zero solution provides a distributed cache solution based on Redis and Memcached. Caching is a common microservice optimization method that can improve response speed and reduce backend load.

3. Summary

go-zero’s distributed service grid solution is a complete solution for building high-availability and high-performance microservices. Using go-zero, developers can easily build and deploy deeply integrated microservice systems. By using components such as etcd, load balancing, current limiting, circuit breakers, and distributed cache, go-zero can help developers easily build distributed service grids and manage them.

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