Development Frameworks for Microservice-based Applications: Evaluation and Comparison
| Autor: | Felix Beierle, Hai Dinh-Tuan, Maria Mora-Martinez, Sandro Rodriguez Garzon |
|---|---|
| Rok vydání: | 2022 |
| Předmět: |
FOS: Computer and information sciences
Service (systems architecture) business.industry Computer science Interoperability Cloud computing Usability Microservices computer.software_genre Software framework Software Engineering (cs.SE) Computer Science - Software Engineering Software portability business Software engineering computer Architectural style |
| Zdroj: | ESSE |
| DOI: | 10.48550/arxiv.2203.07267 |
| Popis: | The microservice architectural style has gained much attention from both academia and industry recently as a novel way to design, develop, and deploy cloud-native applications. This concept encourages the decomposition of a monolith into multiple independently deployable units. A typical microservices-based application is formed of two service types: functional services, which provide the core business logic, and infrastructure services, which provide essential functionalities for a microservices ecosystem. To improve developers' productivity, many software frameworks have been developed to provide those reusable infrastructure services, allowing programmers to focus on implementing microservices in arbitrary ways. In this work, we made use of four open source frameworks to develop a cloud-based application in order to compare and evaluate their usability and practicability. While all selected frameworks promote asynchronous microservice design in general, there are differences in the ways each implements services. This leads to interoperability issues, such as message topic naming convention. Additionally, a key finding is the long startup times of JVM-based services that might reduce application's resiliency and portability. Some other advantages come directly from the programming language, such as the ability of Go to generate native binary executables, which results in very small and compact Docker images (up to 78\% smaller compared to other languages). |
| Databáze: | OpenAIRE |
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