AIOps Implementation for Kubernetes Environments

This white paper presents an in-depth exploration of AIOps, specifically focusing on its application within Kubernetes environments. It outlines the methods used in information technology operations (ITOps) to analyze and report data, emphasizing the role of container orchestration in automating operational tasks. The document details various use cases for AIOps, including capacity management, event monitoring, and incident remediation, each aimed at optimizing IT networks based on specific objectives such as resource usage and service response time. Additionally, it describes the implementation of AIOps through an AI as a Service (AIaaS) architecture, where KAIOps agents provide actionable recommendations and predictions. The paper further elaborates on the use of machine learning models, particularly Graph Neural Networks, to manage Kubernetes resources effectively. It concludes with insights into ongoing research and product goals aimed at enhancing automation and expanding the capabilities of AIOps in managing IT operations within cloud environments.