| KEYWORD |
Application of AI and Gen-AI to the management of applications in multi-cloud environments
Thesis in external company
keywords AI, CLOUD MANAGEMENT, GENERATIVE AI
Reference persons RICCARDO SISTO
Research Groups COMPUTER NETWORKS GROUP - NETGROUP, DAUIN - GR-03 - COMPUTER NETWORKS GROUP - NETGROUP, GR-03 - COMPUTER NETWORKS GROUP - NETGROUP, NETGROUP
Thesis type THEORETICAL/EXPERIMENTAL
Description Cloud-based microservice architectures are increasingly widespread, and applications and services are often created by orchestrating on different cloud platforms such as AWS, Azure, and Google Cloud. In this context, called multi-cloud, the proposed thesis wants to analyze and test how AI and Generative AI can be applied to one of the various management problems that must be addressed, such as orchestrating and optimizing network traffic, or optimizing costs or business continuity, or automating the adoption of the Infrastructure As Code (IaC) paradigm.
The work will consist of:
- In-depth analysis and creation of possible solutions based on AI or Gen-AI.
- Design, implementation, integration in multi-cloud environments and validation of the identified solutions.
The thesis will take place as part of an internship at the Liquid Reply company.
See also liquid_it_internship_2025_mci.pdf
Required skills Programming. A background in cloud computing can also be very useful.
Deadline 12/11/2025
PROPONI LA TUA CANDIDATURA