About
**Project Description**:
Kubernetes clusters are becoming increasingly complex, making debugging and fixing issues difficult. We would like to explore the emerging capabilities of agentic AI tooling for interacting with and diagnosing issues in Kubernetes clusters. The project aims to show how MCP-based tooling can make complex systems easier to work with: by giving guidance on how clusters are set up, providing suggestions on how clusters could be optimised (e.g. how best to bin pack nodes, security reconfigurations etc) and suggesting preventative measures to make clusters more resilient to future incidents. The outcome of this project will be an evaluation of the current landscape of MCP tooling for working with Kubernetes broken down by their use cases whilst assessing the feasibility to integrate with the existing MCP based tooling within the section.
**Supervisor**: Jack Charlie Munday, Diana Gaponcic
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The talk
Credits and licence
- Institution
- CERN
- Speaker
- Elisa Marzioli
- Year
- 2026
- Language
- English
- Source
- CERN
- Licence
- CERN, as CERN states it. CERN's terms
- Attribution
- © CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
- Who can watch
- CERN gives no rating. Invisible Network shows it to Teens profiles and older, judged from what the source says about it. How courses are placed