Migration of Monoliths through the Synthesis of Microservices using Combinatorial Optimization

Filippone, Gianluca; Autili, Marco; Rossi, Fabrizio; Tivoli, Massimo

doi:10.1109/issrew53611.2021.00056

Cited by 5 publications

(2 citation statements)

References 20 publications

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“…The aspects of software engineering in such a conversion are dealt with by De Lauretis [ 34 ], taking these aspects into account, disregarding performance issues. A similar approach to the subject can also be found in other works and other groups [ 35 , 36 , 37 ]. This only confirms that the topic of migration from monolithic applications to microservices is on time, and therefore how many challenges, including performance challenges, are to be solved and described.…”

Section: Related Workmentioning

confidence: 89%

Comparison of Representative Microservices Technologies in Terms of Performance for Use for Projects Based on Sensor Networks

Plecinski

Bokla

Klymkovych

et al. 2022

Sensors

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Reading and analyzing data from sensors are crucial in many areas of life. IoT concepts and related issues are becoming more and more popular, but before we can process data and draw conclusions, we need to think about how to design an application. The most popular solutions today are microservices and monolithic architecture. In addition to this choice, there is also the question of the technology in which you will work. There are more and more of them on the market and in each of them it is practically possible to achieve similar results, but the difference lies in how quickly it will be possible and whether the approach invented will turn out to be the most optimal. Making the right decisions at the beginning of application development can determine its path to success or failure. The main goal of this article was to compare technologies used in applications based on microservice architecture. The preparation of a book lending system, whose server part was implemented in three different versions, each using a different type of technology, helped to achieve this goal. The compared solutions were: Spring Boot, Micronaut and Quarkus. The reason for this research was to investigate projects using sensor networks, ranging from telemedicine applications to extensive sensor networks collecting scientific data, or working in an environment with limited resources, e.g., with BLE or WIFI transmitters, where it is critical to supply energy to these transmitters. Therefore, the issue of efficiency and hence energy savings may be a key issue depending on the selected programming technology.

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Section: Related Workmentioning

confidence: 89%

Comparison of Representative Microservices Technologies in Terms of Performance for Use for Projects Based on Sensor Networks

Plecinski

Bokla

Klymkovych

et al. 2022

Sensors

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show abstract

“…In the research, it is explained that monolithic architecture is a software application whose modules cannot be run independently. By using a monolithic architecture, each application is run concurrently because all application modules are contained in a very large application (Filippone, Autili, Rossi, & Tivoli, 2021). There are several disadvantages of monolithic architecture, namely:…”

Section: Literature Review Monolithic Architecturementioning

confidence: 99%

Api Service Infrastructure Using Kubernetes And Terraform Based On Microservices Ngoorder.Id

Habibi¹

2022

SinkrOn

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The growing number of ngorder.id service users causes traffic to Api Ngorder to be higher, so a new infrastructure is needed in order to maintain Api Ngorder uptime during high traffic and also maintain service stability. In the implementation process, Api scripts that are currently running on a monolith cluster will be divided into several categories and will be split into several kubernetes clusters. To support autoscale, a Horizontal Pod Autoscaler was added, and to route traffic it would use the Api Gateway from Amazon Web Service. In this infrastructure test, it is done by testing the logic script function using Katalon Studio and testing at the infrastructure level by doing a crash test in the form of failing to deploy and terminating the pod, as well as performing a stress test to test autoscaling in the cluster, the entire test can be run by performing a stress test on the php service pods. by setting the autoscaler parameter Memory Utilization Percentage 125%, 150% and 250%, proving that the HorizontalPodAutoscaler (HPA) as an autoscaler handler can function according to the targets and parameters that have been determined.

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Migrating from Monoliths to Microservices: Enforcing Correct Coordination

Autili,

Filippone,

Tivoli

2023

2023 38th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW)

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Migration of Monoliths through the Synthesis of Microservices using Combinatorial Optimization

Cited by 5 publications

References 20 publications

Comparison of Representative Microservices Technologies in Terms of Performance for Use for Projects Based on Sensor Networks

Comparison of Representative Microservices Technologies in Terms of Performance for Use for Projects Based on Sensor Networks

Api Service Infrastructure Using Kubernetes And Terraform Based On Microservices Ngoorder.Id

Migrating from Monoliths to Microservices: Enforcing Correct Coordination

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