1,502 research outputs found
Microservices Validation: Methodology and Implementation
Due to the wide spread of cloud computing, arises actual question about architecture, design and implementation of cloud applications. The microservice model describes the design and development of loosely coupled cloud applications when computing resources are provided on the basis of automated IaaS and PaaS cloud platforms. Such applications consist of hundreds and thousands of service instances, so automated validation and testing of cloud applications developed on the basis of microservice model is a pressing issue. There are constantly developing new methods of testing both individual microservices and cloud applications at a whole. This article presents our vision of a framework for the validation of the microservice cloud applications, providing an integrated approach for the implementation of various testing methods of such applications, from basic unit tests to continuous stability testing
Microservice Transition and its Granularity Problem: A Systematic Mapping Study
Microservices have gained wide recognition and acceptance in software
industries as an emerging architectural style for autonomic, scalable, and more
reliable computing. The transition to microservices has been highly motivated
by the need for better alignment of technical design decisions with improving
value potentials of architectures. Despite microservices' popularity, research
still lacks disciplined understanding of transition and consensus on the
principles and activities underlying "micro-ing" architectures. In this paper,
we report on a systematic mapping study that consolidates various views,
approaches and activities that commonly assist in the transition to
microservices. The study aims to provide a better understanding of the
transition; it also contributes a working definition of the transition and
technical activities underlying it. We term the transition and technical
activities leading to microservice architectures as microservitization. We then
shed light on a fundamental problem of microservitization: microservice
granularity and reasoning about its adaptation as first-class entities. This
study reviews state-of-the-art and -practice related to reasoning about
microservice granularity; it reviews modelling approaches, aspects considered,
guidelines and processes used to reason about microservice granularity. This
study identifies opportunities for future research and development related to
reasoning about microservice granularity.Comment: 36 pages including references, 6 figures, and 3 table
Detection of microservice smells through static analysis
A arquitetura de microsserviços é um modelo arquitetural promissor na área de software,
atraindo desenvolvedores e empresas para os seus princípios convincentes. As suas vantagens
residem no potencial para melhorar a escalabilidade, a flexibilidade e a agilidade, alinhando se com as exigências em constante evolução da era digital. No entanto, navegar entre as
complexidades dos microsserviços pode ser uma tarefa desafiante, especialmente à medida
que este campo continua a evoluir.
Um dos principais desafios advém da complexidade inerente aos microsserviços, em que o seu
grande número e interdependências podem introduzir novas camadas de complexidade. Além
disso, a rápida expansão dos microsserviços, juntamente com a necessidade de aproveitar as
suas vantagens de forma eficaz, exige uma compreensão mais profunda das potenciais
ameaças e problemas que podem surgir. Para tirar verdadeiramente partido das vantagens
dos microsserviços, é essencial enfrentar estes desafios e garantir que o desenvolvimento e a
adoção de microsserviços sejam bem-sucedidos.
O presente documento pretende explorar a área dos smells da arquitetura de microsserviços
que desempenham um papel tão importante na dívida técnica dirigida à área dos
microsserviços.
Embarca numa exploração de investigação abrangente, explorando o domínio dos smells de
microsserviços. Esta investigação serve como base para melhorar um catálogo de smells de
microsserviços. Esta investigação abrangente obtém dados de duas fontes primárias:
systematic mapping study e um questionário a profissionais da área. Este último envolveu 31
profissionais experientes com uma experiência substancial no domínio dos microsserviços.
Além disso, são descritos o desenvolvimento e o aperfeiçoamento de uma ferramenta
especificamente concebida para identificar e resolver problemas relacionados com os
microsserviços. Esta ferramenta destina-se a melhorar o desempenho dos programadores
durante o desenvolvimento e a implementação da arquitetura de microsserviços.
Por último, o documento inclui uma avaliação do desempenho da ferramenta. Trata-se de
uma análise comparativa efetuada antes e depois das melhorias introduzidas na ferramenta.
A eficácia da ferramenta será avaliada utilizando o mesmo benchmarking de microsserviços
utilizado anteriormente, para além de outro benchmarking para garantir uma avaliação
abrangente.The microservices architecture stands as a beacon of promise in the software landscape,
drawing developers and companies towards its compelling principles. Its appeal lies in the
potential for improved scalability, flexibility, and agility, aligning with the ever-evolving
demands of the digital age. However, navigating the intricacies of microservices can be a
challenging task, especially as this field continues to evolve.
A key challenge arises from the inherent complexity of microservices, where their sheer
number and interdependencies can introduce new layers of intricacy. Furthermore, the rapid
expansion of microservices, coupled with the need to harness their advantages effectively,
demands a deeper understanding of the potential pitfalls and issues that may emerge. To
truly unlock the benefits of microservices, it is essential to address these challenges head-on
and ensure a successful journey in the world of microservices development and adoption.
The present document intends to explore the area of microservice architecture smells that
play such an important role in the technical debt directed to the area of microservices.
It embarks on a comprehensive research exploration, delving into the realm of microservice
smells. This research serves as the cornerstone for enhancing a microservice smell catalogue.
This comprehensive research draws data from two primary sources: a systematic mapping
research and an industry survey. The latter involves 31 seasoned professionals with
substantial experience in the field of microservices.
Moreover, the development and enhancement of a tool specifically designed to identify and
address issues related to microservices is described. This tool is aimed at improving
developers' performance throughout the development and implementation of microservices
architecture.
Finally, the document includes an evaluation of the tool's performance. This involves a
comparative analysis conducted before and after the tool's enhancements. The tool's
effectiveness will be assessed using the same microservice benchmarking as previously
employed, in addition to another benchmark to ensure a comprehensive evaluation
Report from GI-Dagstuhl Seminar 16394: Software Performance Engineering in the DevOps World
This report documents the program and the outcomes of GI-Dagstuhl Seminar
16394 "Software Performance Engineering in the DevOps World".
The seminar addressed the problem of performance-aware DevOps. Both, DevOps
and performance engineering have been growing trends over the past one to two
years, in no small part due to the rise in importance of identifying
performance anomalies in the operations (Ops) of cloud and big data systems and
feeding these back to the development (Dev). However, so far, the research
community has treated software engineering, performance engineering, and cloud
computing mostly as individual research areas. We aimed to identify
cross-community collaboration, and to set the path for long-lasting
collaborations towards performance-aware DevOps.
The main goal of the seminar was to bring together young researchers (PhD
students in a later stage of their PhD, as well as PostDocs or Junior
Professors) in the areas of (i) software engineering, (ii) performance
engineering, and (iii) cloud computing and big data to present their current
research projects, to exchange experience and expertise, to discuss research
challenges, and to develop ideas for future collaborations
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