AICoreOps - An AI-driven operations management platform built on go-zero microservices architecture.

## Primary Goal of AICoreOps The primary goal of AICoreOps is to enhance operational efficiency and intelligence by leveraging AI technologies. It aims to provide a robust platform for large enterprises, internet companies, and cloud service providers to manage their operations more effectively. ## Architecture of AICoreOps AICoreOps is built on the go-zero microservices architecture, which ensures high availability and scalability. ## Key Features of AICoreOps The key features of AICoreOps include: - AIOps module for intelligent alerts, fault prediction, and root cause analysis. - User and permission management for system security. - Service tree and CMDB for resource management. - Ticketing system for issue resolution. - Prometheus integration for real-time performance monitoring. - Kubernetes management for cluster monitoring and resource scheduling. ## Target Audience for AICoreOps AICoreOps is suitable for large enterprises, internet companies, and cloud service providers that require efficient and intelligent operations management. ## Getting Started with AICoreOps To start using AICoreOps, follow these steps: 1. Clone the repository using the command `git clone https://github.com/GoSimplicity/AICoreOps`. 2. Ensure the environment requirements are met: Go 1.20 or higher, MySQL or another database, Redis for caching, and optionally Docker. 3. Refer to the README file in the GitHub repository for configuration and deployment instructions. ## AIOps Module in AICoreOps The AIOps module in AICoreOps uses machine learning and AI to analyze system logs and monitoring data. It provides intelligent alerts, fault prediction, and root cause analysis to enhance operational efficiency. ## Role of Prometheus in AICoreOps Prometheus is integrated into AICoreOps for real-time performance monitoring. It helps in detecting anomalies and automatically responding to them using AI-driven insights. ## System Security in AICoreOps AICoreOps ensures system security through its user and permission management module, which manages user roles and permissions to control access and maintain security compliance. ## Kubernetes Management in AICoreOps Kubernetes management in AICoreOps involves monitoring Kubernetes clusters and using AI for automated resource scheduling and management, making it suitable for cloud environments. ## Environment Requirements for AICoreOps The environment requirements for AICoreOps include: - Go 1.20 or higher - MySQL or another database - Redis for caching - Optionally Docker for containerization ### Citation sources: - [AICoreOps](https://github.com/GoSimplicity/AICoreOps) - Official URL Updated: 2025-03-31