This repository contains the code for a monolithic application extracted from the Train-Ticket microservices architecture. The purpose of creating this monolith is to serve as a benchmark for research purposes in software engineering, specifically for the conversion of monoliths to microservices.
The software industry has seen an increased interest in migrating from monolithic architectures to microservices due to the many benefits it offers, such as improved scalability, maintainability, and deployment flexibility. However, breaking down a monolith into microservices is a complex task that requires careful analysis and planning.
The main objective of this project is to propose a novel method for converting a monolith into microservices. We are exploring the use of a VAE (Variational Autoencoder) based Fuzzy C means clustering algorithm to automatically extract microservices from the Train-Ticket monolith. By applying this proposed method, we aim to suggest a minimum number of microservices that can be extracted from the monolith while preserving functionality and ensuring proper service boundaries.
git clone https://github.com/showkat2203/train-ticket-monolith.git
cd trainticket/docker-compose up --build -dIf want to run using traces use:
The proposed method involves the following steps:
Gather information about the Train-Ticket monolith, its functionalities, and interactions between components.
Prepare the data for clustering by removing noise, handling missing values, and performing feature engineering.
Apply the VAE (Variational Autoencoder) to extract meaningful features from the monolithic codebase.
Utilize the Fuzzy C means algorithm to group similar functionalities into microservices.
Validate the generated microservices using various metrics like cohesion, coupling, and functional correctness.
Compare the performance of the extracted microservices against the original monolith and other existing microservice architectures.
We welcome contributions from the community to improve and expand this benchmark project. If you want to contribute, please follow the guidelines outlined in CONTRIBUTING.md.
This project is licensed under the MIT License.
We would like to express our gratitude to the creators and maintainers of the Train-Ticket microservices architecture for providing the foundation for this benchmark project.
Thank you for your interest in our Train-Ticket Monolith to Microservices Conversion Benchmark project. If you have any questions, concerns, or suggestions, please feel free to reach out to us or open an issue in this repository.