What are common use cases for Microservice+ Platform
What are common use cases for Microservice+ Platform
Example use cases for Microservice+ Platform:
Legacy applications refactoring and modernization
Enterprises often rebuild their IT systems to change the functionality, add new features, move to the Cloud, or conduct global system modernization. A Microservices Enterprise Architecture enables incremental migration by loosely coupled teams, creating a collection of microservices to replace the existing monolithic applications.
Big data apps require a complex data pipeline-oriented architecture. Create multiple stages to focus on discrete tasks, such as data collection, processing, delivery, storage, etc. These "loosely coupled" compute stages are an excellent fit for Microservices. AI/ML is one of the best use cases for Microservices Architecture.
The most common use cases are data streaming platforms like YouTube, SoundCloud, e-banking applications, radar systems, traffic control systems, online booking, etc. (i.e., the applications executing operations in real-time to deliver an immediate output).
Dramatically growing organizations require the outstanding flexibility and scalability that Microservices Architecture provides. It helps companies quickly find the bottlenecks and address them in a more targeted manner. Moreover, the ability to deploy frequently at the service level enables faster iteration and service level scalability.
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