M. Engelhardt

Leveraging Low-Parameter LLMs for Self-Healing in Kubernetes-Based Container Orchestration

The growing complexity of runtime management in containerized clusters makes manual fault debugging time-consuming and costly. Self-healing aims to automate fault detection and recovery. A recent approach is to use large language models (LLMs), but most existing systems rely on large proprietary models with high comput...