Recent technological advancements have profoundly transformed companies and businesses, enabling them to achieve high levels of performance. Today, system and network infrastructures are crucial and indispensable, requiring continuous corrections and maintenance to ensure superior security, reliability, and availability. However, various risks related to software, hardware, and malicious threats can cause failures, attacks, data loss, service interruptions, and breaches of rights or confidentiality. Ensuring the robustness, reliability, and security of infrastructures or data centers is essential. While detection techniques are used, they often fail to provide alerts before a failure or attack occurs and rely on risk assessments without concrete data from the infrastructure. In this article, we explore the paradigm of predictive maintenance and prognostics applied to IT and network infrastructures and data center equipment. The aim is to establish a literature review of solutions that predict attacks or failures by detecting early warning signals and to propose a roadmap for enhancing security and reliability by predicting the remaining useful life of the components.