5/4/2023 0 Comments Apptivate microservicesThe underlying storage mechanism may be a single disk, or it may be a distributed, high-availability cluster that is mirrored through data replication and some form of quorum mechanism. What is important is that the only method for the system and users to access the data is through the API. Other common API formats include gRPC and GraphQL, which each have different approaches and tradeoffs for how data is accessed.Īlthough each microservice maintains its own datastore, the data need not be stored on a single disk on a single machine. ![]() The API need not be in any particular format, but representational state transfer (REST) is popular, in part because its human-readability and stateless nature make it useful for web interfaces. An application programming interface (API) provides the only means for users and other services to access the microservice's data. Microservices can be written in any programming language and can use whichever database, hardware, and software environment makes the most sense for the organization. By reducing the number of blocking operations on the data-storage backend, this architecture enables the microservice to scale horizontally, increasing capacity by adding more nodes to the system rather than just increasing the resources (RAM, CPUs, storage) on a single node. Each microservice includes an independent storage system so that all of its data is located in a single location. Each microservice component focuses on a set of loosely coupled actions on a small, well-defined dataset. The microservices software-development pattern provides a method to build a single, unified service out of a collection of smaller services. Providing multiple ways to programmatically locate, update, and access data can be challenging.Scaling the system can be hard because of intertwined data relationships.Updating code for one set of data objects may break dependencies in other areas.Many current legacy applications are implemented as monoliths, in which all data storage and processing are controlled by the monolith, and all functions for all data objects are processed using the same backend codebase.Īlthough this method of development is historically typical, it can lead to maintainability problems: ![]()
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