AIOps, or Artificial Intelligence for IT Operations, represents an evolution of traditional IT operations by integrating artificial intelligence and machine learning to manage increasingly complex IT infrastructures. Unlike conventional ITOps, which are often reactive and manual, AIOps offers a proactive, automated, and intelligence-driven approach. It enhances IT operations by automating incident management, predicting issues before they occur, and providing real-time, actionable insights that improve system availability and compliance while reducing operational costs. AIOps tools work through a continuous cycle of observing, engaging, and acting on data from various sources, utilizing machine learning algorithms for tasks like event suppression, anomaly detection, and predictive analysis. The article reviews several top AIOps platforms, each with unique strengths across observability, incident management, IT service management integration, and infrastructure monitoring. It also highlights the flexibility and cost-effectiveness of using n8n, a workflow automation platform, as a complementary tool for AIOps strategies, particularly for organizations seeking custom or in-house solutions.