Performance analysis of .Net and Spring Boot microservices on Microsoft Azure
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Published:
Dec 30, 2024
Issue Vol. 33 (2024)
Articles
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Comparative analysis of performance between .NET platform versions
251-257
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Performance analysis of .Net and Spring Boot microservices on Microsoft Azure
258-263
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Comparative analysis of frameworks for creating user interfaces in iOS Systems
264-268
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Analysis of graphical user interfaces of music services taking into account universal design principles
269-276
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Accessibility and usability analysis of online museum's graphical user interface
277-284
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Performance comparison of the Java and Kotlin programming languages based on an auto-scroller mobile game
285-291
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Web Accessibility Status of Open Access Journals in Africa: A 2024 Snapshot
292-297
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Performance analysis of working with relational and non-relational databases in Java applications
298-305
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Performance analysis of coroutines and other concurrency techniques in Kotlin language for I/O operations
306-312
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Comparative analysis of Blender and 3ds Max in the aspect of reconstruc- ting selected artifact models derived from 3D scanning
313-316
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Comparision of Artificial Inteligence models used in computer games on the Unity platform
317-322
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Analysis of the performance and scalability of microservices depending on the communication technology
323-330
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Usability analysis of graphical interfaces of travel websites according to the universal design principles
331-338
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Performance of machine learning tools. Comparve analysis of libraries in interpreted and compiled programming languages
339-345
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Analysis of the usability of graphical interfaces of car rental websites with consideration of universal design principles
346-353
-
The usefulness of the T1DDS simulator in the context of multi-day type 1 diabetes therapy
354-360
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Abstract
This article compares the efficiency of microservices written in Java and C#, using Spring Cloud for Java and Consul for C#. The measurements were carried out in three stages, such as basic service implementation, application of design patterns, and deployment on the Microsoft Azure cloud platform. The results illustrate that Java microservices are generally more efficient, although that difference diminishes on the cloud platform where .Net shows better optimization with Microsoft Azure.
Keywords:
microservices, Java, C#, cloud platform
Article Details
Krekora, K. (2024). Performance analysis of .Net and Spring Boot microservices on Microsoft Azure. Journal of Computer Sciences Institute, 33, 258–263. https://doi.org/10.35784/jcsi.6268
