In the digital wave, cloud generation industry has maintained a strong momentum of development. More enterprises have come into contact with micro-services, containerization and other deployment modes, hoping to reduce operation and maintenance costs and improve business agility through new technologies. According to the 2020 IDC Global Data Center Forecast report, **80%** of workloads will move to or be created by container/microservices by 2023.

So what is microservices architecture? What is the relationship with the service grid? How can enterprises leverage service Grid technology?

Micro service

Micro service architecture is the original monomer architecture is divided into several small service, service using lightweight communication mechanism between collaboration each other, and each of these services are built around the specific business, can be independently deployed to a production environment, meet applications smaller, faster deployment, and scalability, making different services can adopt different development techniques, This improves development efficiency and meets business-centric needs.

As the number of services increases, microservice architectures face new challenges: A software applications often require dozens or even hundreds of separate service work, lead to the application of micro service architecture topology structure becomes more complex, the interaction between the service stability is reduced, a service failure may affect other service invocation chain, form the avalanche effect, service calls between troubleshooting is also becoming more difficult. In this context, service grid emerges as The Times require.

Service grid

Application service grid is used for micro configurable infrastructure layer, the micro service each service (service) node, with a piece of mesh (mesh), and make the communication between each service instance more smooth, reliable and rapid, solve the communication between service, monitoring the multipoint failures in dealing with the system operation condition, etc. The service grid has the following core functions:

  • Load balancing

  • Service discovery

  • authentication

  • Traffic management and routing

  • Circuit breakers and failover

  • The safety management

  • Collect and monitor indicators

  • Fault injection

Compared with the traditional microservice framework, service grid decouple business and governance through Sidecar mode, and the microservice governance ability sinks to the operation and maintenance layer, which reduces the difficulty of development and makes it easier to realize the hierarchical, standardized and systematic architecture.

Istio, currently the most popular open source project in the service grid space, naturally supports Kubernetes and provides a simple way to isolate connectivity, security, control, and observation modules from applications or services, allowing development teams to focus on business development and innovation, targeting existing service grids.

SolarMesh

To help enterprises to quickly locate in the complicated micro service scheduling problem, increase research efficiency, natural and innovation based on the constructed Istio efficient visualization micro – SolarMesh service management platform, to provide the cluster service of non invasive service governance capacity, flow visualization, flow control, link tracking and management functions such as communication encryption authentication, Out of the box.

With SolarMesh’s traffic view, problems can be seen at a glance in complex multi-service scheduling scenarios

SolarMesh uses traffic grayscale to smooth version updates and reduce version upgrade risks. At the same time, it has complete service governance capabilities, providing more process-level protection for cloud native applications.