Scalability is one of the critical advantages of pursuing the microservice architectural style. We saw the characteristics of microservice scalability. We discussed the Scale Cube model of scalability and how microservices can scale on the y-axis by functional decomposition of the system. Then we approached the scaling problem with the scaling infrastructure. In the infrastructure segment, we saw strong capability of Azure Cloud to scale, utilizing the Azure scale sets and container orchestration solutions, such as Docker swarm, DC/OS, and kubernates.
In later stages of the chapter, we focused on scaling with a service design and discussed how our data model should be designed; we also discussed considerations, such as having a split CQRS style model, while designing the data model for high scalability. We also briefly touched on caching, especially distributed caching, and how it improves the throughput of the system. In the last section, to make our microservices highly scalable...
