With the increasing costs of public cloud services such as AWS, Azure, and GCP, many companies opt to establish their private cloud infrastructure. This transition necessitates the development of an adequate Infrastructure as a Service (IaaS) team to manage and maintain the data center. A key challenge in this domain is monitoring the health of the bare metals (also called servers) to ensure high availability and reliability. This paper presents a comprehensive approach to bare metal health monitoring in private data centers. We will discuss the problem statement literature review, outline an industry-standard solution, propose a high-level system design to ensure real-time monitoring, fault detection, and automated remediation, and provide experimental results to show how our approach is better than existing industry solutions.
Introduction
With the rise in operational expenses associated with public cloud providers, enterprises are increasingly shifting toward building their data centers. This shift necessitates a dedicated Infrastructure as a Service (IaaS) team responsible for maintaining and managing these data centers. A fundamental aspect of infrastructure maintenance is ensuring all servers operate efficiently and reliably. Any failures or performance degradation in these bare metals can result in significant downtime and revenue loss. Therefore, an effective bare metal health monitoring system is crucial for maintaining operational continuity. This article will first define the problem statement and then propose the industry standard scalable solution to tackle the problem.
