Solving the complexity problems of large-scale Kubernetes systems
Presenter(s)
Justen M. Stall
Files
Description
Autonomous Capability Team 3 (ACT3) at the Air Force Research Laboratory (AFRL) produces an artificial intelligence research platform called the Air and Space Force Cognitive Engine (ASCE). ASCE is distributed as a Kubernetes system with all of its necessary components included. The system’s deployment is a complicated process, and is currently done using the Helm and Helmfile tools. The design decisions made by Helm and Helmfile have raised concerns, so there is interest in finding a better approach.This project explores the complexity problems of large-scale Kubernetes systems. Existing approaches were researched, analyzed, and evaluated. The research concluded with a comprehensive comparison of various approaches, the identification of a few guiding principles, and a prescribed solution prioritizing those principles.
Publication Date
4-17-2024
Project Designation
Graduate Research
Primary Advisor
Jim P. Buckley, Kyle M. Tarplee
Primary Advisor's Department
Computer Science
Keywords
Stander Symposium, College of Arts and Sciences
Institutional Learning Goals
Scholarship
Recommended Citation
"Solving the complexity problems of large-scale Kubernetes systems" (2024). Stander Symposium Projects. 3336.
https://ecommons.udayton.edu/stander_posters/3336
Comments
Presentation: 10:45-12:00, Kennedy Union Ballroom