Enhancing Infrastructure Maintenance and Evolution through Graph-Based Visualization and Analysis

Companies are increasingly embracing cloud computing, and consequently, the need for effective methods and tools to manage their compute infrastructure also increases. However, managing complex and heterogeneous infrastructures remains a significant challenge, particularly in terms of observability, configuration consistency, and resilience. This PhD project aims to explore the integration of graph-based infrastructure visualization techniques to enhance infrastructure observability and management. The objective of the graph-based abstraction is to bridge the gap between architectural intent and operational reality, providing valuable support for monitoring, auditing, and failure analysis. We aim to address key infrastructure management issues such as configuration drift detection and remediation, and topology analysis.