Safe Deployment of Micro-services Using Containers
Context
Micro-services architectures relies on small and independent entities (the micro-service) that communicate with others to achieve business goals. These entities communicate together using messages exchanged on top of a broker, e.g., Kafkfa.
In this project, we are interested by the safe deployment of micro-services architecture. It aims to model a micro-service in terms of exchanged messages, and see how the different services define a choreography of messages. then, we will leverage this model to (i) accelerate the deployment by generating software artifacts (e.g., docker compose file) that are consistent by nature (no dangling services), and (ii) provide a support to what-if scenarios in the architecture. For example, what is the impact of a failure of a given service? Can we replace a given service by another one?
The technological ecosystem is build on top of state-of-the-art industrial tools, such as docker, nodeJS and Kafka. The project will deliver a model to represent a service, and a set of analysis to leverage this model and provide feedbacks to software architects.
Skills and Background
- loving to craft software;
- knowing how to start a docker container
- some knowledge in distributed systems (e.g., networking, message-based communication)
- knowing how to use Git, and the meaning of the MVP acronym;
- fluency in object-oriented programming (e.g., Java);
- good knowledge in object-oriented software design;
- knowing software development good practices (i.e, Clean Code by Uncle Bob is on your night table).
Required role of the student
- contribution to a research project;
- contribution to the development of prototypes;
- discovering state-of-the-art literature;
- communicating about the work done in the lab (technical report, article).
References
- Building microservices: designing fine-grained systems. S. Newman. 2015. O’Reilly.
- Research on Architecting Microservices: Trends, Focus, and Potential for Industrial Adoption. Paolo Di Francesco, Ivano Malavolta and Patricia Lago. 2017 IEEE International Conference on Software Architecture (ICSA)
Supervision
