Microservices has emerged as a new architectural style of designing applications to overcome the challenges of service oriented architecture (SOA). With the evolution of microservices architecture, architects have started migrating legacy applications to microservices. However, some of the architects are in chaos whether to migrate the application from SOA to microservices or not. The need for empirical evaluation and comparison of both the SOA and microservices architecture is also on-demand. This work helps the software architects in better understanding of the technical differences between both styles. We, therefore, present a comparison of a web application that is designed using both SOA and microservices architectures. The comparison is presented with two different parameters: 1) complexity with architectural metrics; 2) performance with load testing. It is clear from the results that though the complexity of microservices architecture is high, the response time for processing the requests is very fast compared to SOA services.
Service-oriented architecture (SOA) has been widely used to design enterprise applications in the past two decades. The services in SOA are becoming complex with the increase in changing user requirements and SOA is still seen as monolithic from a deployment perspective. Monolithic services make the application complex, and it becomes difficult to maintain. With the evolution of microservices architecture, software architects started migrating legacy applications to microservices. However, existing migration approaches in the literature mostly focus on migrating monolithic applications to microservices. To the best of our knowledge, very few works have been done in migrating SOA applications to microservices. One of the major challenges in the migration process is the extraction of microservices from the existing legacy applications. To address this, we propose an approach to extract the candidate microservices using graph based algorithms. In particular, four algorithms are defined: (i) construction of service graph (SG), (ii) construction of task graph (TG) for each service of the a SOA application, (iii) extraction of candidate microservices using the SG of SOA application, and (iv) construction of a SG for a microservices application to retain the dependencies between the generated microservices. We chose a SOA-based web application to demonstrate the proposed microservices extraction approach and extracted the microservices. Additionally, we have evaluated the extracted microservices and compared them with SOA based services.
Distributed systems have evolved rapidly as the demand for independent design and deployment of software applications has increased. Web services and microservices are two styles of designing distributed applications based on the principles of Service-Oriented Architecture (SOA). After the evolution of microservices, software architects are in chaos, whether to adopt microservices over web services. To the best of our knowledge, there has been no empirical work done in the literature for comparing both web services and microservices architecture in terms of the coupling principle of SOA. In this paper, a service graph-based approach is proposed to analyze and evaluate the effectiveness of microservices architecture when compared with web services. Loose coupling is used as a perspective for evaluation, and we have chosen two case study applications to evaluate them in terms of coupling. From the results, it is observed that microservices has lesser coupling values than web services.
This Distributed systems have evolved rapidly as the demand for independent design, and deployment ofsoftware applications has increased. It has emerged from the monolithic style of client-server architecture toservice-oriented architecture, and then to the trending microservices. Monolithic applications are difficult toupdate, maintain, and deploy as it makes the application code very complex to understand. To overcome the designand deployment challenges in monolithic applications, service oriented architecture has emerged as a style ofdecomposing the entire application into loosely coupled, scalable, and interoperable services. Though SOA hasbecome popular in the integration of multiple applications using the enterprise service bus, there are fewchallenges related to delivery, deployment, governance, and interoperability of services. Additionally, the servicesin SOA applications are tending towards monolithic in size with the increase in changing user requirements. Toovercome the design and maintenance challenges in SOA, microservices has emerged as a new architectural styleof designing applications with loose coupling, independent deployment, and scalability as key features.
Service oriented architecture (SOA) has been widely used in the design of enterprise applications over the last two decades. Though SOA has become popular in the integration of multiple applications using the enterprise service bus, there are few challenges related to delivery, deployment, governance, and interoperability of services. To overcome the design and maintenance challenges in SOA, a new architecture of microservices has emerged with loose coupling, independent deployment, and scalability as its key features. With the advent of microservices, software architects have started to migrate legacy systems to microservice architecture. However, many challenges arise during the migration of SOA to microservices, including the decomposition of SOA to microservice, the testing of microservices designed using different programming languages, and the monitoring the microservices. In this paper, we aim to provide patterns for the most recurring problems highlighted in the literature i.e, the decomposition of SOA services, the size of each microservice, and the detection of anomalies in microservices. The suggested patterns are combined with our experience in the migration of SOA-based applications to the microservices architecture, and we have also used these patterns in the migration of other SOA applications. We evaluated these patterns with the help of a standard web-based application.
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